Abstract

The Agri-Food sector is vital for regional GDP and for maintaining employment in Central and Northern Greece. However, it is severely lacking in digital maturity and capacity, competitiveness and access to disruptive technologies. #DigiAgriFood EDIH aims to empower the digital and green transformation of the entire spectrum of the Agri-Food value chain with immediate benefits for citizens, SMEs and public sector. It specializes in Artificial Intelligence technologies, Advanced Digital Skills, High Performance Computing and Digital Transformation and Interoperability and contributes directly to the missions and objectives of the “Digital Europe 2021-2027” program. It will help bring human-centred AIsolutions and unleash the powers of digital technologies to reach Europe’s common climate and environmental goals as set out in the European Green Deal, including being climate neutral by 2050, as well as strengthen the resilience of Europe’s industry and increase its open strategic autonomy. In total, five one-stop-shops and ten antennas/spots are planned to be fully operational covering the whole EDIH’s geographical area to ensure direct interaction with the target groups. #DigiAgriFood EDIH’s key objective is to exploit its complementary expertise at specific stages in the project cycle to achieve full synergy effect between partners. Consortium members apart from senior experts in their field and professors of the highest rank will also contribute with significant scientific infrastructure. The complementarity of the partners’ skills guarantees the balanced distribution of the workload and the establishment of strong cooperation. The management approach guarantees transparency and commitment to all partners and facilitates the successful execution of the project. #DigiAgriFood EDIH will strengthen and maximize the existing innovation ecosystem in all five Regions (Eastern Macedonia and Thrace, Central Macedonia, Western Macedonia, Epirus and Thessaly) and has already explored collaborations with other EDIHs across the EU to create effective Corridors.

Abstract

Abstract
Tree cultivation is a perennial crop, therefore the changes that will be decided to be made to the orchard after its installation are very difficult and above all economically unprofitable. For this reason, the farmer should be very careful during the orchard installation process. Errors and omissions may continue to exist throughout the years of the productive life of the trees, with the consequence, on the one hand of the reduced quality and quantity of production, and on the other hand, the increase of production costs due to the additional costs. Today the establishment of a new tree is done by measurements in the field mainly by the grower himself in an empirical way. However, this carries the risk of reduced accuracy or incorrect arrangement of the trees. It is known that in order to determine the planting arrangement, characteristics related to the crop, soil fertility and topographical parameters should be taken into account. The proposed action aims to implement a system of precise planning of a new orchard.

The system provides the optimal spatial planning of the orchard ensuring an excellent agronomic result, optimal placement of pollinators, accurate digital recording of the orchard for subsequent cultivation operations and optimization of land use. Thanks to automation and digitization, the chances of failures occurring during installation are minimal since different work execution scenarios can be controlled. The system is fed by information collected by an aerial surveillance instrument and fed into the optimal positioning software by taking agronomic, geomorphological, soil and climatic criteria.

Abstract

In recent decades, animal production in Greece has been developing rapidly due to the increasing demand for animal products. This demand has led to a transition from traditional to intensive farming systems in order to intensify production. Goats and sheep, being one of the most important livestock species in the industry, significantly contribute to the country’s economic development. As a result of these changes, unknown health problems have emerged or existing ones have worsened, mainly due to mismanagement of intensively reared animals.

One such problem is the increased occurrence of lameness, particularly in animals that remain confined throughout the year. Lameness is a decisive factor of distress, often painful, which significantly reduces both the welfare level and milk production of affected animals in case of delayed disease detection. This results in the mandatory slaughter of the animal, with serious direct and indirect economic implications for the enterprise. The delayed diagnosis of lameness is attributed to the currently applied detection methods, which primarily rely on visual observation of the animal’s mobility, a method that almost excludes the early detection of the problem.

The objective of this initiative is to establish a new lameness detection system, initially in the Greek livestock context, based on parameters of animal movement and monitoring of their feeding. The aim is to detect lameness at an early stage and avoid the economic consequences of production loss for livestock units.

The proposed system structure includes both commercial components and elements that result from original laboratory research. Specifically, the system successfully combines commercial motion-sensing sensors (accelerometers) with a temporary integrated electronic feeding system and an innovative information system. The information system utilizes machine learning algorithms appropriately adapted to diagnose lameness at an early stage, even if the symptoms are not visually evident. This ability is attributed to the system’s capability to identify differences in the motion signatures of diseased animals and compare them with those of healthy ones.

The differentiation of the proposed system compared to those available on the market lies primarily in its ability to continuously record the animal’s movements without affecting them and without altering their daily routines.

Abstract

In recent decades, animal production in Greece has been developing rapidly due to the increasing demand for animal products. This demand has led to a transition from traditional to intensive farming systems in order to intensify production. Goats and sheep, being one of the most important livestock species in the industry, significantly contribute to the country’s economic development. As a result of these changes, unknown health problems have emerged or existing ones have worsened, mainly due to mismanagement of intensively reared animals.

One such problem is the increased occurrence of lameness, particularly in animals that remain confined throughout the year. Lameness is a decisive factor of distress, often painful, which significantly reduces both the welfare level and milk production of affected animals in case of delayed disease detection. This results in the mandatory slaughter of the animal, with serious direct and indirect economic implications for the enterprise. The delayed diagnosis of lameness is attributed to the currently applied detection methods, which primarily rely on visual observation of the animal’s mobility, a method that almost excludes the early detection of the problem.

The objective of this initiative is to establish a new lameness detection system, initially in the Greek livestock context, based on parameters of animal movement and monitoring of their feeding. The aim is to detect lameness at an early stage and avoid the economic consequences of production loss for livestock units.

The proposed system structure includes both commercial components and elements that result from original laboratory research. Specifically, the system successfully combines commercial motion-sensing sensors (accelerometers) with a temporary integrated electronic feeding system and an innovative information system. The information system utilizes machine learning algorithms appropriately adapted to diagnose lameness at an early stage, even if the symptoms are not visually evident. This ability is attributed to the system’s capability to identify differences in the motion signatures of diseased animals and compare them with those of healthy ones.

The differentiation of the proposed system compared to those available on the market lies primarily in its ability to continuously record the animal’s movements without affecting them and without altering their daily routines.

Abstract

Cotton cultivation is one of the main arable crops in Greece. In recent years, it occupies 45-50% of the total irrigated arable land, demonstrating its competitiveness compared to other irrigated crops. However, there has been an increase in the number of varieties cultivated, leading to negative impacts on the uniformity of the produced product. Often, during harvesting or ginning, different varieties with different characteristics are mixed, making it impossible to standardize the product. This creates significant problems for Greek cotton to become competitive in the markets. When leaving the ginning facility, a bale of cotton often does not contain cotton of the same variety and quality, making it challenging to assign an identity to it and compensate the producer accordingly.

Another crucial element is that with the current harvesting and management practices, it is not possible to pay for the final product based on its quality. The proposed system aims to address this problem. The system receives data from cylindrical bale cotton pickers, processes it using specialized algorithms, and assists the user in selecting the appropriate strategy for disposal and standardization of production based on factors such as the harvesting point, variety, moisture, and other characteristics. This makes it possible to sell the harvested product at better prices. It is estimated that such a tool will bring a new dynamic to the significant sector of cotton cultivation in Greece.

Abstract

In recent decades, animal production in Greece has been growing rapidly due to the increasing demand for animal products. This demand has led to a transition from traditional to intensive farming systems with the aim of enhancing production. Cattle, being one of the most significant livestock species, play a crucial role in the country’s economic development. However, the consequence of these changes is the emergence of unknown health issues or the exacerbation of existing ones, primarily due to the improper management of intensively reared animals.

One such problem is the increased frequency of lameness, particularly in animals that remain confined throughout the year. Lameness is a decisive factor in distress, often painful, significantly compromising both the well-being and the reduction of milk production, estrus, and consequently, the reproduction of diseased animals in case of late disease detection. This results in the mandatory slaughter of the animal, with serious immediate and indirect economic consequences for the enterprise.

The late diagnosis of lameness is attributed to the applied detection methods, mainly based on the visual observation of the animal’s mobility by the producer, a method that almost excludes the detection of the problem at an early stage. The goal of the initiative is to establish, initially in Greek livestock data, a new lameness detection system in its early stages, based on the movement parameters of the animals, in order to avoid economic impacts due to production loss for livestock units.

Abstract

In recent decades, animal production in Greece has been growing rapidly due to the increasing demand for animal products. This demand has led to a transition from traditional to intensive farming systems with the aim of enhancing production. Cattle, being one of the most significant livestock species, play a crucial role in the country’s economic development. However, the consequence of these changes is the emergence of unknown health issues or the exacerbation of existing ones, primarily due to the improper management of intensively reared animals.

One such problem is the increased frequency of lameness, particularly in animals that remain confined throughout the year. Lameness is a decisive factor in distress, often painful, significantly compromising both the well-being and the reduction of milk production, estrus, and consequently, the reproduction of diseased animals in case of late disease detection. This results in the mandatory slaughter of the animal, with serious immediate and indirect economic consequences for the enterprise.

The late diagnosis of lameness is attributed to the applied detection methods, mainly based on the visual observation of the animal’s mobility by the producer, a method that almost excludes the detection of the problem at an early stage. The goal of the initiative is to establish, initially in Greek livestock data, a new lameness detection system in its early stages, based on the movement parameters of the animals, in order to avoid economic impacts due to production loss for livestock units.

Abstract

Fresh vegetables represent a form of goods in both domestic and international markets, subject to continuous negotiation between a producer-seller and a wholesale buyer to distribute them effectively to the end consumer. The current buying and selling processes of fresh vegetables in Greece rely almost exclusively on “face-to-face” communication or at least the use of telephone and email to convey information regarding availability, quality, price, and other relevant details. The prevailing practices result in a highly fragmented market, leading to both a waste of non-productive time in the negotiation and ordering process and inefficient procurement that does not optimize the price/quality relationship.

The objective of this project is to develop an integrated traceability process and adapt relevant digital tools with a focus on meeting the requirements of high-quality markets for fresh vegetables on a global scale. These markets share common points of reference summarized as follows:

• Significant quantities of quality products
• Quality certifications (GLOBALG.A.P., IFS, BRC)
• Food safety – Traceability (compliance with European legislation and consumer requirements)
• Standardization (sizes, packaging, labels)
• Adherence to standards (UNECE, GS1, PLUs)
• Proper implementation of logistics (timings, transportation conditions, continuous updates)

Abstract

The PreConAgri research project is about the application of Conservation and Precision Agriculture techniques to reduce the impact of conventional agricultural practices on climate change through soil carbon sequestration with an increase in soil quality and production. Pilot applications are carried out in model fields of durum wheat, in two Greek regions with severe erosion problems, Krokos Kozanis and Nikaia Larissas. Pilot applications include the implementation of conservation agriculture methodologies, differential fertilization as well as controlled movement of machinery. The results will enhance field sustainability, maximizing benefits for the farmer and the environment.

Abstract

The aim of AgroSYS project is the design, development and commercialization of an integrated autonomous system of precision viticulture based on the autonomous navigation of a UAV and UGV fleet that will be charged by solar charging stations within the vineyard and incorporate technologies for monitoring (a) vigor and volume of the vines vegetation for fertilization programming, (b) water stress of the vines for irrigation programming, and (c) vineyard production for selective harvesting on the basis of maturation level. The specific objectives of the project will be:

• Development of a combined monitoring system for vineyards with sensors mounted on UAV and UGV to assist decision making on agricultural practices (irrigation, fertilization, selective harvesting).
• Development of a safe navigation system for UAV and UGV movement in a vineyard with the incorporation of appropriate sensors and algorithms for identification and avoidance of obstacles. Construction of small-scale solar stations for charging UAV and UGV to be installed in vineyards.
• Construction and programming of robotic arms to connect UAV and UGV to the charging source.
• Development of an integrated and optimally managed autonomous UAV and UGV fleet system.
• Pilot vineyard testing to optimize the system for at least one growing season.
• Investigation of the environmental and economic impacts of such a system on a vine growing enterprise and analysis of the results for commercial exploitation of the system.

The project will be implemented with the cooperation of 5 institutions, namely 1) Institute of Bio-Economy and Agro-Technology, Center for Research and Technology Hellas (IBO-CERTH) – Coordinator, 2) Agricultural University of Athens (Laboratory of Mechanical Engineering & Laboratory of Ampelology) (AUA), (3) GIZELIS ROBOTICS ABEE (GROB) and 4) ENERGY TRADING A.E. (ENTRADE). The duration of the project is 30 months and will be implemented in 6 distinct Work Packages.

Abstract

Soil properties are of the most important factors in crop management, as they directly affect plant growth, yield and quality of the final product. Traditionally soil is managed uniformly, not taking account of the field variability. This leads to over-application or under-application depending on the specific properties and needs of each part of the field. Following the concept of Precision Agriculture, fields can be managed at sub-field level based on the spatial variability of field properties. However, managing field variability can be puzzling to most farmers and farm managers.

The SIMS project fosters to simplify the procedures of precision agriculture making it accessible to farmers and farm managers. Within the framework of SIMS an automated system is developed for mapping and processing of soil parameters. It works as a decision support system, optimizing soil management (soil preparation, cultivation, etc.) and crop management (fertilization, irrigation, etc.). An Android-based smart application is also being developed as a portable version of SIMS platform. It will also work as a tool to navigate the user to the soil sampling locations for targeted soil sampling.

Expected results:

1. Through optimized management, the system aims to reduce inputs (fertilizers, irrigation water, fuel, etc.) increasing the economic sustainability and reducing the environmental footprint of agricultural activities.
2. The project strives to raise awareness and promote a wider acceptance of innovative agricultural sensor methods and cutting-edge technologies, contributing to the modernization of agricultural production methods that will lead to the agriculture of the future.

Abstract

PrecisionFEEDProtect project aims to develop new control strategies for insect infestations of stored feed using innovative technologies at Viozokat company. During the implementation of the project, phosphine sensors will be utilized, having a direct impact on the timing of phosphine applications, leading to the reduction of insect resistance in the long run. Similarly, the application of precision fumigation will result in a limited number of phosphine applications, as repeated applications will be avoided due to application failures. Also, the implementation of this project is expected to lead to production of fully disinfested feed, resulting to the reduction of quantitative and qualitative degradation of feed due to entomological infestations. The immediate result will be the upgrading of the hygiene level of the feed and assurance of their quality as well as the improvement of farmed animals’ health (e.g., health problems related to the quality of the feed will be reduced). Additionally, consumer perspective on eco-friendly products is of growing interest, motivating firms to use alternative, “green” disinfestation methods. This survey aims to identify and analyze consumers’ awareness and perceptions on this topic, focusing on the use of alternative post-harvest disinfestation methods. For this survey a questionnaire was developed and answered on a national level in Greece of a sample of 1,000 interviewees. At the same time, the willingness to buy agricultural foods being treated with alternative disinfestation methods mentioned above was assessed. Based on the above, it is clear that the expected results of the project will effectively contribute to the further improvement of the competitiveness of the VIOZOKAT company, through the most effective reduction of entomological problems and the wider perception of the needs of its consumers.

Abstract

The wide and in many times inconsiderate use of chemical plant protection products has negative consequences for human and the environment and of course poses risks for public health. Many drastic substances that have been widely used in the past in agriculture, are now forbitten, leaving an important gap in the available methods of assessing the aforementioned problem. Considering the above, the need for developing and using innovative assessment method protocols, that are safe for the environment, do not leave toxic residues in the products and do not negatively affect the users and the final product becomes clear and imperative.

The proposed project aims at developing new strategies for the proper use of plant protection products though innovative technologies, i.e. the minimization the impact of point and diffused sources of pollution and the maximization of the user and consumer safety, depending on the requested conditions and processes. Apart from the technological and the environmental dimension of the application of the aforementioned methods, their economic dimension will also be evaluated, so that the results produced will trigger the adoption of these methods on a larger scale in our country.

More specifically, a series of best practice actions for the management of plant protection products, which are expected to offer a sustainable competitive advantage, will take place. These best practices will be adjusted on the individual conditions for the critical process of plant protection product application, that in turn is determinative for the product quality and safety level, as well as for the environmental footprint. Data and critical parameter collection and analysis will be conducted with the use of various technologies, that will be connected to the support of decision-making in the critical stages of the use and application of plant protection products process.

The implementation stages of the proposal will include a) The creation of a portable station for the cleaning of compact tractor sprayer in particularly sensitive areas, such as rural areas located near lakes and rivers, in order to further reduce surface water pollution. b) The organization of training for point and diffuse sources of pollution, as well as for the safety of users, in areas with intense agricultural activity and profile, in order to indicate the “critical” points required by producers to comply with the rules of proper use, taking into account the specifics of each area all stages and various implementation scenarios and c) The evaluation of the economic viability, the efficiency and the acceptance of the proposed techniques at technical, environmental, social and economic level.

Abstract

HepaHealthy_Egg project seeks to develop a food supplement that will improve the welfare of chickens and the quality of the eggs produced. Within the region of central Macedonia are located the 31,5 % of the egg-producing facilities of Greece. One of the most significant challenges of egg-producing facilities operators is to safeguard the health of their livestock and secure the quality of their products. A common cause of death among egg-producing chickens is the Fatty Liver Hemorrhagic Syndrome (FLHS), as a result of large amounts of fat deposition within the liver. Moreover, various egg ingredients are found to come from the liver.

The aim of the project is to deliver a food supplement based on the botanical extract of flora flourishing in Greece that will encounter FLHS and improve the overall health and productivity of egg-producing chickens. More specifically, thistle is a native plant of the Mediterranean and is known for its medicinal purposes since ancestry. Remarkably, thistle’s active ingredient, silymarin, has hepatoprotective properties and are administered to humans for treatment of insulin resistance syndrome. In extent, pilot-research will be conducted, by supplying food supplement based on the extract of thistle to chicken livestock and the outcome will be evaluated via internal organ examination.

Furthermore, HepaHealthy_Egg aims in the production of branded high-added value products that will eventually contribute to the sustainable development of egg production in the region of Central Macedonia. More specifically, the use of natural substances at expense of the use of drugs will result in greater acceptability of the products and is expected to increase the sustainability of the sector.

For this purpose, a certain methodology will be followed for the deployment of a commercial production of botanical extract for the use as a food supplement for chickens.

• Extended research on the botanical species of Central Macedonia as well as the extraction methods.
• Development of experimental evaluation methods for the assessment of the beneficial impact of thistle milk.
• Pilot testing of milk thistle providence to chickens
• Commercial utilization of HepaHealthy_Egg project results.

Abstract

AuthenBeef project focuses on the development of an e-platform for the recording of the authenticity and the documentation of origin for beef bred in Greece, specifically in Imathia, Central Macedonia. The traceability and authenticity systems throughout the supply chain of beef are based on blockchain technology. Stakeholders will input and export data in the e-platform for all the stages of the supply chain of beef. The data will provide information such as animal information, breeding procedures, meat authenticity and producer information, which will leverage the potential for successful management, promotion, and marketing of the products. Through this process:

• Meat products will gain added value and the sustainability of livestock farming will be improved,
• Consumers will be able to trust meat products that are “secured” by this system,
• Regulatory bodies can better monitor the market and prohibit false claims.

Therefore, the aim of the AuthenBeef project is to develop a platform based on blockchain technology upon which information about all the stages of the supply chain of beef can be exchanged. The products will be monitored throughout the supply chain and their authenticity and origin documented. This authenticity and traceability system will be disseminated to interested stakeholders. Through this system, beef will be more sought after and will provide added value for the livestock farmers and stakeholders across the supply chain, the project will promote the superiority of locally produced meat and the sustainable growth of livestock farming in the Macedonia land.

AuthenBeef will develop a pilot project to test the viability of the suggested platform. The pilot will engage interested parties that operate in the supply chain of beef, gather feedback, and implement improvements. The pilot will serve as proof of concept for the project.

Abstract

Biomass RCM project will help prepare an inventory and analysis of the available flows of biomass and organic waste in the region of Central Macedonia. The findings will enable the creation of a knowledge base to categorize information per type of biomass, profile, regional unit potential and added value. This information will be used to develop an information system to visualize estimated quantities of biomass (maps, charts) and potential recipients of biomass like energy producers. These visualizations include interactive maps to provide graded information regarding the categorization of biomass types, profile, regional unit potential, added value and potential for energy production and alternative green products.

This system will also monitor supply and demand for biomass and organic waste and will act as an e-marketplace increasing the potential for secondary markets in the region of Central Macedonia.

Moreover, to promote the principles of circular economy and maximize the exploitation of biomass in Greece a decision-making tool will be designed to determine potential alternative methods of exploitation for available biomass and organic waste stocks. Under the project, a methodology will be developed to

• optimize the biogas production from biomass,
• use the residual biomass as soil improver,
• evaluate the use of digestate in soil improver preparations.

Finally, the project will do an inventory and depiction of the potential for biogas production in the region of Central Macedonia. This entails biogas production plants, estimation of energy background, available end users.

Abstract

The aim of the Cave3 project is the exploitation of state-of-the-art digital technologies, virtual reality and 3D printing for developing innovative mechanisms to tour the Petralona Cave and Museum and provide an interactive experience to the visitors (including those with special needs). Current 3D technologies (3D scanning and printing, virtual reality, open labs) can transform a visit to the cave and museum into a truly entertaining experience and a means of education. The pilot operation of the demonstrative installation is considered valuable not only for the wider public (students, adults) but also for scientists, given that the information available will be “graded” in such a way that it can be accessed depending on the degree of detail one wants and can examine. The summarise, the following activities are planned to take place within Cave3:

• 3D scanning and filming of the Cave’s route, but also areas off-route with the use of terrestrial scanners and drone-type devices,
• Construction of a 3D printed model of the cave,
• Organization of a digital museum,
• Documentation and display of the oldest human skull ever found in Greek territory, Development of a virtual conservation lab,
• Development of graded serious games applications aiming to maximize the interactive experience of the visitors.

Abstract

CPigFeed aims to develop all the necessary tools and methodologies to overcome barriers (technical, economic and social) that prevent the use of food by-products in the pig feed mixture, and thus to promote the principles of the Circular Economy in the production of animal feed.

The project brings together scientists and researchers with broad scientific expertise in order to make the incorporation of food by-products into the pig feed safe, economically feasible and environmentally sustainable. For this purpose, the CPigFeed project develops intelligent information tools and traceability applications, and demonstrate them on a decentralized supply chain of food by-products that is set up in a typical Greek pig farm. Thus, food by-products are incorporated in the pig feed mixture, after setting-up a protocol for their safe incorporation, and after assessing the impact of the new feed mixture on the health and welfare of pigs, as well as the yield and quality of the final product (pork).

Abstract

It is estimated that on an average 7% of the world population are diabetics now and this number is estimated to increase to 8.3% by 2030 .On an average every 30 s an extremity is amputated due to complications of diabetes mellitus and the majority of these amputations are secondary to foot ulcers. Diabetic foot ulcer is not only a patient problem but also a major health care concern throughout the world. Diabetic foot ulcer is one of the common and serious complications in diabetic patients. Treatment of infection in diabetic ulcer is difficult and expensive. Patients usually need to take long-term medications or become hospitalized for an extended period of time. It is estimated that usually 15-25% of diabetic patients develop Diabetic foot ulcer during their life-time. On the other hand, more than 70% of patients who have developed Diabetic foot ulcer , experience an exacerbation of the disease in the next 5 years. If an ulcer develops unfortunately, the treatment is challenging and need long duration. Teamwork consists of orthopedic surgeon, endocrinologist, infectious disease physician and a trained nurse in dressing is necessary to care for the wound. Moreover, diabetic foot ulcer treatment is expensive. On an average, the year treatment cost for wounds in Greece is 6.143 Euros. However, if the wound becomes complicated and amputated, the cost will rise to almost 60000 Euros. Therefore, based on the noble quote in health care profession “prevention is better than the treatment of the disease,”. Hence the purpose of the present proposal is to develop a smart insole for foot ulcer prevention in diabetic patients. Pressure sensors and actuators will be embedded into customized insoles to redistribute high-risk plantar pressures in localized plantar regions, such as metatarsal head and heel regions. The automatic adaptations of the shoe insole’s rigidity will redistribute the plantar pressure when the plantar pressure, as detected by the insole sensors, exceeds the preset threshold level.

Abstract

In modern reality, a change in policy making is required in order to safeguard the quality of life in the urban environment, the increase of urban green, but also for the enhancement of the connection between the urban population and the urban green. This connection can be reinforced with the integration of farming activities from citizens within the urban ecosystem. Even though such activities are acknowledged as basic drivers in participatory Eco-innovation, in our country an “integration gap” exists in the introduction of relative actions that promote sustainable development policies. There are multiple benefits from the integration of urban farming in urban spatial planning. More specifically, in the social level, such actions can reinforce social cohesion, networking and solidarity among citizens, will in parallel they constitute a strong stimulant in the promotion of participatory perception. In addition, urban farming connects modern citizens with the nature and the environment in the core of urban areas, while the cultivation of land offers a great exercising opportunity with beneficial physical and mental effects, thus improving the quality of physical and mental health of society as a whole. Moreover, the citizen engagement with primary organic farming is a source of supply of high-quality products for own consumption or to support initiatives such as social groceries. Similarly, at the financial level, the contribution can be significant, and in many cases, even critical (especially to low-income citizens), as through their involvement there is a financial benefit by limiting the expenses required for daily subsistence. At the environmental level, beyond the fact that the ecological awareness of the citizens is increased (especially in small ages with examples of urban gardens in schools), similar activities in urban centers contribute to the decrease of the carbon footprint though the promotion of green supply chains. In the context of the project, the development of an information system, towards enhancing urban farming in Greece, is proposed.

The focus of this information system is on the following:

• Good practices of urban farming activity at international level
• Urban space specifications for the development of farming activities by citizens.
• Development of an information system for monitoring urban farming activity.
• Pilot application for monitoring areas suitable for urban cultural activity (e.g. municipal urban vegetable gardens, green areas in schools).
• Data collection for utilities and availability of local products.
• Practical advice to citizens/farmers and generation of educational material in the form of manuals and audio-visual material.
• Guidelines for environmental policy-making to promote urban farming

Abstract

The AGROTRACE project aims to achieve end-to-end traceability of a fresh product supply chain through the deployment system, which will combine internal and external tracking processes, so that each operator is able to identify the immediate source and immediate recipient of the products. The system will apply the “one step up, one step down” principle to provide effective tracking in the supply chain. In particular, each distinct product will be recognized globally and in a unique way so that it can be located upstream and downstream of the supply chain. All participants in the distribution network will be able to use the system to implement internal and external traceability practices, and in addition, internal traceability will be implemented in such a way as to ensure the necessary connections between inputs and outputs. The main objective of the system to be developed is to effectively support this implementation through a 4-step process:

1. Recognition: Following the GS1 standards, the system will (at unit level) discriminate all fresh products (commercial items), infrastructures , sites and so on, from the cultivator to the consumer. These numbers will provide links between the fresh product and the product-specific information.

2. Recording: GS1 system data carriers will be used for data management to meet different supply chain process needs for different products. The EAN / UPC barcodes are to be used for scanning at retail outlets. The GS1-128 barcodes will be used to identify product units in packaging and pallets to help inform product information and monitor their movement. GS1 DataBar barcodes that carry the same – and in some cases larger volumes – information in less space than the UPC barcodes will also be used. The data encoded in GS1 system carriers will not only identify the products (and product units) but will allow the trading partners to share large volumes of data (batch number, date of production, packaging information, etc.) .

3. Evaluation: The information gathered will be evaluated against the objectives expressed in the form of Performance Indicators (KPIs) set by the supply chain partners. In addition, the system will enable KPIs from the SCOR (Supply Chain Operations Reference) model to enable “anonymous” benchmarking of chain partners’ performance.

4. Sharing: The interoperability of our system will facilitate the smooth exchange of information in trade transactions. The following GS1 interface templates are to be used: GDSN (Global Data Synchronization Network): GDSN connects trading partners to the GS1 Global Registry® via GS1 Certified Data, allowing the immediate electronic exchange of standardized, up-to-date and verified information.

Abstract

CareWaste aims to reduce the amount of municipal solid waste being disposed on landfills. In line with the Waste Framework Directive 2008/98/EC and the principles of a circular based economy, CareWaste focusing toward maximizing material and energy recovery from waste and thus, minimize the need for disposal of residues to landfills. The project argues that a market-oriented waste prevention and management plan in a Greek municipality will dissociate economic growth from the environmental impact, will maximize societal consensus and will move towards a zero- waste economy.

To that end, CareWaste project develops a web-based information system for monitoring and promoting circular economy strategies in order to reduce landfill to less than 30% according to the revised National Waste Management Plan. More specifically, leveraging the wealth of existing data, and multi-criteria-decision-analysis methodologies, CareWaste aims to:

• investigate available waste management practices;
• select and present best alternative scenarios in relation to the existing and proposed waste management facilities;
• develop an information system that enables monitoring waste management indicators, as well as compliance with European directives and National regulatory frameworks.

Ultimately, CareWaste’s vision is to minimize the future residues disposal to landfills within the principles of a circular based economy and establish adequate tools for the enhancing of controls/inspections and enforcement mechanisms in order to ensure compliance with the legislative framework.

Abstract

In various domains (workplace, home, public spaces) where humans and robots have to work together, wearable devices provide information that can support context recognition and context awareness regarding human subjects (Cifuentes et al., 2014). This awareness can be used for action planning of robots and coordination between robots and humans (Cheein et al., 2015). One of the potential domains for such application is agricultural intensive production systems where operational links in the production and supply chain are seen as emerging areas of human-robots synergetic approaches. The project objective is to develop a knowledge-based human-robot synergistic system for high-value crops (HVCs) handling operations including out-door harvesting and in-door storage in order to achieve an overall improved efficiency in HVCs logistics. Research will be performed along two axes with the aim: i. To improve human-machine synergy by introducing augmentation technologies to support machine’s situation awareness including workers’ activities, and ii. To increase system efficiency by optimising information-based operations planning.

Abstract

The increasing rate of obesity and health problems associated with metabolic syndrome (diabetes, cardiovascular disease, blood pressure) turn consumers to healthier dietary choices with reduced sugars and fats. In the current food market, synthetic sweeteners are available, such as aspartame, sucralose, cyclamates, etc. Although these sweeteners provide a sweet taste, with no calories, they are often accused of toxicity. This, promotes the growing need of consumption of natural sweeteners, such as sweeteners from Stevia rebaudiana Bertoni plant (200-300 times sweeter than sugar, no calories).

However, although its use as a natural sweetener has been approved by European legislation (EC 1131/2011), consumer response is still moderate due to its undesirable metallic and bitter aftertaste. The objective of the proposed project is to optimize and consequently to promote the sensory characteristics of Greek stevia by removing or covering the bitter and metallic aftertaste. This aim will be achieved by intervening throughout the cultivation cycle, the post-harvest treatment, the processing of stevia for the production of raw materials (sweeteners) with excellent taste, to the development of new or improved food products, with innovative methods aiming at improving quality of life through reduction of sugar intake. The holistic approach at all the stages of agri-food chain of sweeteners production from stevia plant (steviol glycosides) is crucial for the in-depth investigation and afterwards the improvement of bitter-metal aftertaste.

Specific objectives are:
• Optimization of cultivation using innovative precision agriculture applications, to optimize the concentration and quality of glycosides
• Recovery of glycosides through green extraction methods (microwaves, ultrasound, extraction in the presence of enzymes) and their isolation at high purity
• Promotion of stevia sweeteners by covering or removing their bitter and metallic aftertaste through innovative encapsulation methods (electrospraying method), enzymatic transglycosylation and use of membranes
• Use of improved steviol glycosides for the development of new or improved food products (refrigerated chocolate cream, refrigerated rice paddy) without addition of sugar, and sweeteners
• Evaluation of the biological activity of steviol glycosides isolated from plant extract through in vitro studies (anti-cancer, intestinal barrier effect, drug interaction)
• Techno-economic analysis and evaluation of the environmental footprint of processes and products through Life Cycle Analysis Methodology

The development and application of innovative technologies in the agri-food sector, as well as the improvement of isolation and processing of stevia leaf extracts techniques, which will lead to the production of sweet powder or liquid to be used as a ready-to-use sweetener, will contribute to the dynamic introduction of Greece into the International stevia sweetener market, combining domestic stevia leaf cultivation with the ability to place the final product on the market as an E960 sweetener, with outstanding sensory properties. The development of innovative products based on steviol glycosides will benefit human health, contributing to the reduction of obesity and diabetes. Finally, it will benefit socially, environmentally and economically not only the participating institutions and the company, but also the Greek society.

Abstract

An anterior cruciate ligament (ACL) tear is a devastating injury to an athlete and unfortunately is one of the more common knee injuries in athletes involved in rapid deceleration moves. An ACL deficient knee has a very high risk of instability, subsequent injury, and long-term osteoarthritis. It is estimated that between 100,000 and 250,000 of these injuries occur each year in the United States (no data for Europe). Reconstruction of the ACL is commonly performed to restore stability to the knee and allow the patient to return to a healthy and active lifestyle. The past 2 decades have seen significant advancements in the ability to restore stability and function to an ACL deficient knee with a primary ACL reconstruction. Although the procedure and rehabilitation has become more predictable, it still requires many months of rehabilitation and time away from the sports. After committing the time, effort and expense of a primary ACL reconstruction, to have it then re-tear is not only a frustrating and discouraging event for all involved, but there is also growing evidence that the long-term health of the knee is then at even greater risk Recent prospective analysis of a multicenter cohort has shown failure rate after ACL reconstruction to be 3.0 % at 2 years and a systematic review of randomized- controlled trials showed this rate to be 3.6 % at short-term follow-up.

Revision ACL reconstruction is clinically challenging and associated with worse clinical outcomes than primary reconstructions, and a recent systematic review revealed a 13.7 % overall failure rate. Avoidable technical errors, including tunnel malposition, inadequate fixation, and failure to address concomitant malalignment and/or ligamentous injuries, have been implicated in 53–79 % of primary ACL graft failures. Due to the aforementioned reasons the development of an effective treatment to restore ACL function to avoid any postoperative complications is an important health and societal challenge. In current clinical practice, the ACL reconstruction plan is selected from a standard menu of options rather than customized to the unique characteristics of the patient. Furthermore, the treatment selection process is normally based on subjective clinical experience rather than objective prediction of post-treatment function. The net result is treatment methods that are less effective than desired at restoring lost knee joint’ s function. The aim of the present proposal is to develop a decision support system based on the integration of neuromusculoskeletal computer models with imaging (MRI, X-ray, ultrasound) and motion analysis data (kinematics, kinetics) to simulate the surgery and to improve customization, objectivity, and ultimately effectiveness of treatments for ACL reconstruction.

Abstract

Chicken meat production on an industrial scale must remain competitive in the world market and reduce its adverse environmental impact. This research proposal aims at enhancing the competitiveness and outreach of the participating companies, as well as in promoting innovative entrepreneurship through the production of chicken meat without the use of antibiotic substances, not even for therapeutic purposes, which will be achieved through an innovative production system of reduced environmental footprint. In particular, managerial and nutritional methods will be studied and applied which will replace the use of antibiotics in poultry farming, such as novel means of shaping the environmental conditions of the poultry house, building innovation and biosafety, with the creation of a prototype chicken house for 1000 broilers, that will lead to the production of an innovative product with scientific documentation as “green chicken free of antibiotics”.

At the same time, the research project will scientifically identify and propose a system of traceability of the chicken farm and the produced chicken, using a combination of omic technologies, examination of the microbiome and identification of genes of antibiotic resistance of bacteria (in digestive system and the carcass), with well-defined methodology. It will also help minimize the risks of transferring resistance genes to bacteria that can cause harm to human health. In addition, the identification of the proteome and the microbiome of the produced chicken meat will support the discrete production, without the use of antibiotics and with a reduced environmental footprint, measured through the carbon-life cycle (LCA). Within the framework of this program, industrial development of production will be carried out with the involvement of business partners, as the cooperation between researchers, livestock farmers, feed andmeat industries will be promoted.

A novel rearing system will be developed, to produce for the first time internationally a “green” and antibiotic-free chicken, by a unique innovative method of Greek production, leading to an increase of the domestic added value, with very competitive export importance, products of high added value, as well as benefits for consumers’ health in international level, since the absence of use of antibiotics will minimize the expression of microbial resistance genes in chickens and the possibility of transference to humans. This program covers two basic requirements of the European Union, that one on hand has prioritized the reduction of the consumption of energy in the agriculture sector due to rising energy prices and the requirements of sustainable development, and on the other hand the challenge of antibiotic resistance, since FAO considers antibiotic resistance as the most important global risk against human health. At the same time this program sets the small Greek poultry production as a unique and distinct production system, with worldwide importance, which could not be acquired through conventional methods of industrial production.

Abstract

NANOFUM aims to develop highly-evolved, smart gas sensors and cloud-based tools, to address specific safety challenges in sanitation and protection of stored commodities such as grains. Using innovations ripe for exploitation, combined with cutting-edge hardware and software implements, the partners will develop and roll out complete solutions for real-time monitoring and optimisation of fumigation (pest management) for stored cereals, related amylaceous products and other high value durable commodities.

NANOFUM objectives comprise:

• Refinement of Single-Wall Carbon Nanotube (SWCNT) highly efficient gas sensors and custom design for phosphine (PH3), a versatile gas for stored product protection,
• Adoption of data analytics for achieving sensor precision and mitigating the accuracy limitations of sensing elements (cross-sensitivity, non-linearity),
• Providing access to sensor data through mobile-friendly cloud apps, which shall be designed specifically for professionals in the Food & Beverage, Food Safety and Pest Management sectors,
• Developing an end-to-end, holistic solution using best in class Internet of Things building blocks and service deployment paradigms.

Abstract

The BIOCIRCULAR project aims to integrate smart farming tools and smart processing tools into a single management system for the production chain of a vertically integrated dairy unit. The primary objective of the project is to control and reduce the environmental footprint of the production process and the products produced. More specifically, the BIOCIRCULAR project addresses important issues in inefficient and unsustainable farming practices that lead to inappropriate application of resources such as chemical fertilizers, un-optimized value chains and inadequate data handling and processing. In addition, the project includes actions for the design and optimization of water management. The direct objective of the project is to control and reduce the environmental footprint of the plant’s activities through the use of modern technologies for the optimization of waste management in plant and livestock phases, as well as, processing and standardization of dairy products. All of the above will be integrated into an integrated milk production management system and will provide the foundation for the development of an intelligent circular farming decision support system.

Abstract

The proposed project NEXUS aims to the development of innovative systems that connect the Nexus of Energy, Environment and Agricultural Production (Water, Food, Minerals), creating the technological foundations for economic and social development. At the proposed research scheme, two institutes of CERTH (CPERI and IBO) will join their forces to a holistic approach of the Nexus Energy-Environment-Agricultural Production utilizing and expanding their specialized expertise in the fields of agrotechnology and physicochemical processes. The aim of NEXUS is to utilize Greek raw materials and available residues and by-products of the primary sector, emphasizing in the use of technologies that have been developed to a great extent by CERTH itself.  This way the principles of circular economy, already applied in the EU, are promoted, having a great application potential in our country.
NEXUS is expected to set the foundations for the development of smart farming systems, smart material production systems, as well innovative systems of sustainable energy production and energy carriers. More specifically NEXUS will contribute to the development of a model integrated and adaptive farm management low input system, aiming to the production of food raw materials and the management of the relevant resources (energy, water, etc.) in an environmentally and economically sustainable manner. At the same time, NEXUS will support the optimization of physicochemical, electrochemical, enzymatic and solar thermal processes for the integrated recovery of agricultural and industrial waste, and for the production of energy and energy carriers (e.g. hydrogen, cracker bio-oil). Equally important is considered to be the contribution of the project to the development and synthesis of innovative materials (biochemical, biopolymer, ceramic, magnetically etc.) with multiple applications such as communication systems, biomedical, cosmetics, packaging industry etc.