Data-intensive monitoring and tracking of outdoor pigs for better decision making and animal welfare In conventional indoor pig housing, IT solutions have already been developed to successfully evaluate animal behavior and/or production parameters without disturbing the animals. As...Read all Data-intensive monitoring and tracking of outdoor pigs for better decision making and animal welfare In conventional indoor pig housing, IT solutions have already been developed to successfully evaluate animal behavior and/or production parameters without disturbing the animals. As primary objective of our project, we intend to adapt these methods and procedures to free-range pigs for offering an easy to handle, cost-efficient and useful IT-devices for monitoring pigs. This will give a possibility for the farmers to gather behavioural information about their pig herds as well as other indirect data on the health status and production parameters of pigs without disturbing them. This will be achieved by using passive and active RFID chips and wireless stations to detect the pigs by locating individual members of pasture stock and observing their daily rhythm. Changing the daily rhythm of an animal will be immediately detected as deviation from the average behavior of this individual and also from the average behavior of other individuals, making the detection and treating of the sick, possibly infectious animals faster.
The time spent at the feeder gives the farmer information on food consumption and changes in drinking water consumption can be symptom of a disease. By evaluating the data collected by the sensors, the farmer can get a comprehensive picture of the pigs kept outdoors without disturbing the animals. The data can be inserted into the production process of pork products, so the premium quality associated with free-range pigs can be verified.
Intensive breeds and hybrids were studied in most of the literature. In the framework of the project, the aim is to monitor the free range technology of mangalica and Iberian pigs. We make personalized recommendations for the design of the IT system for different sizes of farms. With this adapted technology, it is possible to achieve precision pig keeping under free-range conditions. With individual identification and tracking of pigs, traceability and transparency of the production system would be realized and ‘labelled products’ would be controlled from farm to fork relations.
Marta Alexy Join group Screenplay knknNir Shaked Join group Data-driven workflows for analyzing and predicting grassland traits: Application of cloud computing, artificial intelligence, spectral sensors and mini drones Grassland ecosystems have extremely variable parameters since they are influenced by soil and weather conditions as well as...Read all Data-driven workflows for analyzing and predicting grassland traits: Application of cloud computing, artificial intelligence, spectral sensors and mini drones Grassland ecosystems have extremely variable parameters since they are influenced by soil and weather conditions as well as farming practices such as fertilization. regularly Providing and effectively communicating information about structural and biochemical parameters of grassland is a necessity for both farmers and decision-makers. For example, such information helps to optimise manuring practices across farms putting precise amounts of manure at various parts of the grassland. Farmers and decision-makers that assess the effect of the fertilisation on grasslands can use the information to take timely actions before it gets late.
The traditional approach to providing detailed information about the grassland traits is to cut, collect and analyze grass samples at various location of grassland. This approach is labour-intensive as destructive as the operator need to walk and/or drive in the grassland to collect grass samples. This approach is time-consuming because collection, transportation and analysis of the samples take time (For example 48 hours in the Netherlands). The traditional approach is also found expensive if several samples are required from various location in grasslands. Farmers often take few samples after mowing their grasslands to evaluate the quality of their grass.
We, a consortium of scientists, engineering, policymakers, soil and grass experts and farmers, will collaborate to develop and evaluate workflows that process data about grasslands trait that are collected from spectral sensors and mini drones. We will investigate and use artificial intelligence modelling algorithms to generate and communicate information that fits the management models of farmers and decision-makers of grasslands to make a win-win solution
.
Till now, our concretum includes:
University of Twente (Netherlands)
Mineral valley Twente (Netherlands)
Maynooth University (Ireland)
University of Copenhagen (Denmark)
DroneExpert NL (Netherlands)
Spectro-AG BV (Netherlands)
We are looking for more partners to share/generate knowledge before, during and after the project (proposal).
Hamed Mehdipoor Join group Development of Agricultural Soil FBG Sensors Of the overall arable lands, 23% of the world’s cultivated area is currently under salinity risk. Thus, preventing soil salinity with smart agricultural applications is listed as one of the most highlighted and urgent headlines of global...Read all Development of Agricultural Soil FBG Sensors Of the overall arable lands, 23% of the world’s cultivated area is currently under salinity risk. Thus, preventing soil salinity with smart agricultural applications is listed as one of the most highlighted and urgent headlines of global agriculture policies. Proposed project mainly addresses fast and precise determination of soil salinity that causes an important economic cost in agricultural sector and to help initiate of preventive measures. Majority of soil salinity sensors have been developed in this regard suffer from matrix interference and long detection and response times. Therefore, field applications of such sensors are troublesome. As an alternative to conventionally used conductivity methods, optical fiber technology offers several advantages as a sensor in various application areas due to the lack of electromagnetic interference and ease of miniaturization. As Fiber Bragg Grating (FBG) sensors use optical measurement methods, they are more successful in terms of matrix interference. FBG type sensors comprise polymeric probes that interacts with the analyte. However, current examples of these sensors usually contain commercial and structurally simpler polymeric materials. In this context, shortening the sensor’s response time by developing complex polymeric probes that responds to salinity in a fast and precise manner stands as a novel and rational approach in FBG sensor design. In this call, fast and high swelling/shrinking response superabsorbent polymers (SAPs) with long side chains and flexible crosslinked networks will be developed as SAP coated FBG sensors.
Senem Seven Join group digitization of citrus production systems from farm to table digitization of citrus production systems from farm to table
TrialMusab AKPINAR Join group Autonomous Pest Control Systems Abstract: In greenhouses, spraying (for pest control) and seedling cutting operations are generally performed manually. Seedlings (fruits, vegetables, flowers, etc.) are arranged in a specific layout. There is a main road line and seedling lines which...Read all Autonomous Pest Control Systems Abstract: In greenhouses, spraying (for pest control) and seedling cutting operations are generally performed manually. Seedlings (fruits, vegetables, flowers, etc.) are arranged in a specific layout. There is a main road line and seedling lines which vertically cut this main road line. There are pipe fitted systems in the seedling lines for heating according to the weather conditions. These systems are located between two seedling lines. The subject of the project about is the development of a tank vehicle located in the main line and a semi-autonomous system that can control the seedling cutting and spraying operations on two seedling pipelines attached to it. This structure will be modular and it will consist of 3 units.
1- Tank vehicle operating on main line (tank and two vehicles which are working on seedling pipeline carrying system).
2- Modular 2 vehicles working on seedling pipelines. These vehicles have fixed motion system and other structures are modular (spraying or seedling cutting).
a. The spraying process will spray a seedling line with the modular structure attached to each vehicle.
b. For seedling cutting, the modular structure that works on seedling pipelines will perform seedling cutting operations on each line.
The Aim of Project:
Generally, spraying (for pest control) and seedling cutting operations are made manually with human power in greenhouses. Although there are vehicles which imported for spraying for in the greenhouses, there is not any information about a fully automatic vehicle for seedling cutting in the literatures.
During the interviews with supervisors of two different greenhouses, it was stated that the spraying operations were carried out on average once a week and a team of at least 5 people was needed.
Seedling cutting operation is done once a year and an average of 25 people to work for this operation were reported.
The aim of the project is to develop a modular structure that can be controlled by application which has via semi-autonomous features, which can make seedling cutting or spraying according to need.
In this way, it is possible to perform the process carried out with 1 people- (t ) minutes instead of with 5 person- (t) minutes for the spraying operation.
Keywords: spraying, pest control, seedling cutting, nozzle, blade, automation, car, carrier, tank, seedling, pulverization.
Innovative Aspects:
1. With its modular structure, it can be used in both spraying and seedling processes.
2. The main tank vehicle for spraying and the system with two auxiliary vehicles on it.
3. In the seedling cutting process, a single cutting system will be connected to two vehicles.
4. A system in which the quantity is determined will be developed by real-time humidity and temperature measurement of the spraying line.
5. The seedling cutting unit has the potential to generate output subject to patent application according to the findings and preliminary research in the conceptual design stage.
Yilmaz Seckiner Join group Relationship between bee colon status and environmental load investigation using drone-mounted spectral cameras in arable crops Our project involves two agricultural sectors, arable crop production and beekeeping and IT. Practical looking for the answer to a problem. Significant damage...Read all Relationship between bee colon status and environmental load investigation using drone-mounted spectral cameras in arable crops Our project involves two agricultural sectors, arable crop production and beekeeping and IT. Practical looking for the answer to a problem. Significant damage to beekeepers residues of plant protection products in flowering sunflower crops. This can cause bees mortality and deterioration of the bee colony. We look for a solution from three directions: image analysis of standing culture, observation of the internal microclimate of beehives, and laboratory testing of plant parts.
Marta Alexy Join group Bee colon health monitoring and data analysis with artificial intelligence methods The main goal of the project is to develop the detection of the position of the bee queen in the hive and to develop passive tools for collecting other data and integrate them into smart beehive concept....Read all Bee colon health monitoring and data analysis with artificial intelligence methods The main goal of the project is to develop the detection of the position of the bee queen in the hive and to develop passive tools for collecting other data and integrate them into smart beehive concept. From data captured by sensors and beekeepers, we build a cloud-based, comprehensive data warehouse that explores complex relationships, using up-to-date artificial intelligence techniques that provide new information for practical beekeepers and researchers as well.
Marta Alexy Join group TAT GIDA We are looking partners that could support us with their technical and R&D skills.
...Read all TAT GIDA We are looking partners that could support us with their technical and R&D skills.
Founded in 1967, Tat Gıda offers a wide range of products for consumers with its Tat brands in the tomato products sector and SEK brands in the milk and dairy products sector. Tat Gıda is the largest company that process the industrial tomato in Turkey about 500,000 tons annually. It is among our priorities that innovative technologies can be applied in our fields in the field of agricultural activity in order to obtain high yields of the desired standard in the final product. Therefore, we are looking for a partner who can support our ideas that;
- Determination of soil characteristics and properties and improvement of agricultural practices according to these characteristics with the aim of improving soil quality criteria, fertilization and irrigation control,
- Development of an ecological technology / method for the protection of the plant against pests, especially for industrial tomatoes grown in open fields (insect repellent etc.),
- Detection of one or more specific diseases such as Tuta absoluta pest, Mildiyö - Phytophthora infestans and development of damaged spot point-disinfection system in the field by drone or others methods.
Damla Ezgi Uzun Join group Environmental and Automated Plant Protection Device We are looking for partners with agricultural expertise (preferably academic institutions) to cooperate with and to lead our project for the validation of our innovative device, Hi-Maye. We have developed a plant protection device...Read all Environmental and Automated Plant Protection Device We are looking for partners with agricultural expertise (preferably academic institutions) to cooperate with and to lead our project for the validation of our innovative device, Hi-Maye. We have developed a plant protection device that generates in-situ ozone, manages the required dose according to environmental sensors and mixes with the water to be irrigated in greenhouses. The same molecule that protects the earth from extrusive effects is now being used to protect the plant, therefore reduce chemical pesticide usage. There is a huge market for sustainable technologies to replace chemical pesticides, as they keep on causing huge problems for the eco-system. Our device is residue-free as ozone becomes oxygen in a short-while and economically viable while decreasing the operational costs: labor-force.
The device prototype was manufactured and successful results are being observed. We are keen on finding partners abroad to enable international validation and set routes and plans for future sales planning. As you can see from our background information, we are electrical engineers with master's level knowledge in sensor design and software, but we lack the agricultural part in our team. To be exact, we are looking for 1) experts in disease and pest outbreak prediction models in the greenhouse/ arable land; 2) owners of greenhouses/farms for the scalable trial of the device; 3) experts in technology validation: people that can help us carry the agricultural tests in trustworthy and safe fashion.
Please don't hesitate to show your interest and you can write to me anytime at t.asgarli@gmail.com
Thank you. Look forward to meeting impactful people.
Tunjar Asgarli Join group AGRIFOOD Assistent The consortium is created to elaborate a proposal in the call ICT-AGRI-FOOD that will develop an inteligent system for supporting researchers, agrifoodstuff operators and their staff in order to increase the performance and competitivity in this field.Mircea Curila Join group Farm to Table Turkey is one of the leading producers of raisins in the world. Raisins Differences between organic and conventional production are listed extensively in the literature. Organic farming is known to use no chemical fertilizers, is less energy intensive and supports...Read all Farm to Table Turkey is one of the leading producers of raisins in the world. Raisins Differences between organic and conventional production are listed extensively in the literature. Organic farming is known to use no chemical fertilizers, is less energy intensive and supports biodiversity while reducing the risk of chemical residues resulting from application of herbicides, insecticides, and fungicides. Another aspect of organic production is record keeping on paper based systems. Conventional farming methods have more fossil fuel input and chemical applications as well as increased water usage. This is followed by loss of topsoil and loss of carbon storage in addition to CO2 emitted during intensive production. Historically improper storage of conventional dried raisins is a cause of concern due to mycotoxins such as Ochratoxin. Since raisins are a major export product, product with chemical residue and mycotoxins is a human health concern.
This project proposes 24 month duration to see the impact of training farmers and applying organic methods in fields. First, a training for farmers conducted scientists in organic raisin growing and proper drying and storage conditions will be conducted. Training will also include an environmental impact calculation module where farmers can see the amount of CO2 produced, water and energy consumption during production. This module will serve two purposes. It will inform the farmer and keep record so data will be available for to use now and in the future. Second purpose of the data is to help consumer make informed decisions. Data will be communicated to the consumer at the time of purchase so they can make informed decisions. Concurrently, a new trial will be of planting sister crops such as hyssop and clover to provide farmer with an additional income and deliver cover for topsoil. A list of preselected indicators will be monitored in both conventional and organic fields for climate change.
Tufan Turp Join group AgAPP-e: Agriculture’s digital Analyser of Production, and its Phosphorus efficiency Phosphorus (P), a critical resource of Agriculture (Ag) is imported and the EU aims its circular use. Its use in Ag is inefficient causing environmental burden in our countries. For an effective use,...Read all AgAPP-e: Agriculture’s digital Analyser of Production, and its Phosphorus efficiency Phosphorus (P), a critical resource of Agriculture (Ag) is imported and the EU aims its circular use. Its use in Ag is inefficient causing environmental burden in our countries. For an effective use, Substance Flow Analyses helped assessing its flows and stocks. These were labor-intensive studies, each with a different approach. There is need for a unifying model and automation to monitor resource flows. Progress takes too long in Ag & long-termism is a must. To monitor resource use, spur progress, inspire innovation and to have foresight we develop an application. It tracks P flows of Ag, collecting mass flow values of inputs and outputs defined in our model, converting them into P-flows. We have direct and indirect estimation of those flows, a balancing observing uncertainties, prediction, scenario analysis and the automation of all that, showing P flow schemes of countries. We integrate machine learning into system dynamics for estimations, uncertainties and for prediction purposes.
Demet Seyhan Join group HALYs IDentification: Innovative ICT tools for targeted monitoring and sustainable management of the brown marmorated stink bug and other pests. The brown marmorated stink bug (Halyomorpha halys, briefly “H. halys”) is an emerging pest of global importance for many agricultural crops....Read all HALYs IDentification: Innovative ICT tools for targeted monitoring and sustainable management of the brown marmorated stink bug and other pests. The brown marmorated stink bug (Halyomorpha halys, briefly “H. halys”) is an emerging pest of global importance for many agricultural crops. Field monitoring is crucial to obtain information on the actual presence and abundance of Halys pest in order to organize timely and proper management actions, also because chemical control is proved to be unsatisfactory. Leaded by improving sustainability, we propose to replace common human-based monitoring of halys' pest both on the fields and on the fruit chain production with an autonomous monitoring system based on data collected with new emerging technologies (Unmanned Vehicles, Vision/Audio sensors, spectroscopy, Edge Computing, LoRa Communications) enhanced by Algorithmic and Machine Learning methods. The innovations achieved by this project will be extended and adapted as much as possible to other insect pests, such as hazelnut pest or carroty fly. Open data will be made available via cloud repository to the scientific community.
Cristina M. Pinotti Join group Real-Time Monitoring/Digital Sharing on ICT Platforms for Bacterial Contaminations in Air in Poultry Farms and Slaughter Houses The technological objective of this project is to develop “specialized air collectors/analysers” for realtime detection/monitoring of bacterial contaminations...Read all Real-Time Monitoring/Digital Sharing on ICT Platforms for Bacterial Contaminations in Air in Poultry Farms and Slaughter Houses The technological objective of this project is to develop “specialized air collectors/analysers” for realtime detection/monitoring of bacterial contaminations in the air of the target in-door areas-which is limited here in “poultry farms and slaughter houses”, however their uses in a variety of media in different areas should be noted (means huge impact). Here, prototypes will be designed/constructed/validated and introduced for commercialisation. The ICT platforms to be developed will receive the data-collected/digitalised/pre-analysed locally in the air collectors and transmitted to the platform and make these data/information available all the partners-including the institutions/offices which are having responsibilities for food safety/pathogen contaminations. It is expected that possible negative events detected locally/transferred to ICT platforms will allow quick decision-making by the responsible bodies to arrange more detailed analysis to take all necessary precautions rapidly
Erhan Piskin Join group Developing the Sustainable Supply Chain System The agricultural sector has an important share in both job creation and foreign trade transactions and therefore very important for the country's economy.
...Read all Developing the Sustainable Supply Chain System The agricultural sector has an important share in both job creation and foreign trade transactions and therefore very important for the country's economy.
A properly planned supply chain is required to minimize losses in agricultural products. Mersin, is the 5th rank in Turkey in agricultural production value and produces 2.6 million tons of fruit and 2.3 millon vegetables per year.
There are deficiencies in supply chain management in our city with high production potential. For this reason, Mersin Provincial Directorate of Agriculture and Forestry has developted a supply chain software. Mersin, which has a wide agriculture production range, has 13 districts. This software is still used in 6 districts and only for 2 products.
In the project implementation, we plan to visit our overseas partners related to the supply chain syteam, to develop existing software, to train the staff on software and to organize the “Sustainable Supply Chain Workshop”.
BARIŞ KILINÇ Join group SHEET - Sunburn and heat prediction in canopies for evolving a warning tech solution Global radiation and temperature rise cause huge risks for the fruit production already affecting the fruit quality, storability, and frequently results in food waste. The varying training systems of...Read all SHEET - Sunburn and heat prediction in canopies for evolving a warning tech solution Global radiation and temperature rise cause huge risks for the fruit production already affecting the fruit quality, storability, and frequently results in food waste. The varying training systems of woody plants and efficacy of physical protection measures based on shielding effects have an effect on the heat distribution in the canopies and crop response in varying climate conditions. Time series analysis of fruit temperature in heat periods due to global warming are needed. Terrestrial remote sensing can provide the necessary high spatio-temporal resolution of data. Consequently, the objectives of SHEET capture (i) the analysis of apparent temperature distribution at the fruit surface employing terrestrial remote sensing with automated conveyor in apple, sweet cherry, and grapes; (ii) validation of the findings on fruit damage considering the peak and duration of radiation and temperature degrees, (iii) prototype of a warning IoT solution to inform growers on the risk of damage.
Manuela Zude-Sasse Join group Foodblock It gets increasingly important to have trusted and secure information about lifecycle events of products. Blockchains could provide invariable information about the full production and transportation line for groceries including ingredients and their origins. The Problem with...Read all Foodblock It gets increasingly important to have trusted and secure information about lifecycle events of products. Blockchains could provide invariable information about the full production and transportation line for groceries including ingredients and their origins. The Problem with blockchains is that current experience shows that the conceptualization, implementation, and validation of blockchain-enabled projects comes with a significant overhead in consulting and engineering. FoodBlock’s objective is creating a new toolbox for producing or processing agricultural and food products that will lower the friction of implementation of the blockchain into the existing platforms and systems. With this novel approach for implementing blockchains, we hope to increase the number of companies using the advantages of blockchains.
Jari Isohanni Join group Technologies 4.0 for Sustainable dRied Fig production in the Mediterranean Dried figs are among the emblematic commodities in the Mediterranean. Very nutritional and healthy, they represent a basic food for local populations of this area. They are a source of important nutraceutical...Read all Technologies 4.0 for Sustainable dRied Fig production in the Mediterranean Dried figs are among the emblematic commodities in the Mediterranean. Very nutritional and healthy, they represent a basic food for local populations of this area. They are a source of important nutraceutical and bioactive compounds and have, therefore, a beneficial role against several diseases. Nevertheless, this strategic cultivation remains often marginalized in many rural areas where it could contribute significantly to their sustainable development. Furthermore, its products are often subject to mycotoxigenic molds impeding their commercialization and valorization in a constantly evolving global market. Hence, fig producers should introduce and implement new technologies, such as those based on remote and local sensing, artificial intelligence and Internet of Things, which provide rapid and reliable results. This will lead to enhance resource implementation, processes productivity, and allow at the same time production requalification and sustainability in a broad sense.
Giuseppe Zimbalatti Join group Smart soil moisture management ICT platform development for supporting data-based, static and dinamic soil information driven agriculture to manage, optimize agricultural production and monitor the impacts on the soil system.Endre Dobos Join group Smart Integration of Analytical Data for the Excellence of AGRI-FOOD System This proposal aims to offer a new digital tool for use in agri-food system that includes a developed technology for data storage and sharing, distributed ledger technology and database. This unique tool will...Read all Smart Integration of Analytical Data for the Excellence of AGRI-FOOD System This proposal aims to offer a new digital tool for use in agri-food system that includes a developed technology for data storage and sharing, distributed ledger technology and database. This unique tool will simplify the access to data for traceability, quality and safety and it will rely on a metrological approach, to assure the quality of analytical data. This project will demonstrate the applicability of the proposed technology with a bottom up approach starting from a proof of concept based on reference samples followed by field tests with relevant stakeholders on a national basis. The proposed digital technology derives value for multiple actors such as farmers, customers, food industries, public authorities, in order to reduce the barriers toward digitalization and facilitate the use of more integrated tools for food chain.
Laura Borgese Join group PROVA1 testoAlessandra Maisani Join group Food Protection Ring Contamination in food plants is inevitable unless the necessary importance is taken. Especially in the slaughterhouses and animal shelters, if adequate ventilation and hygiene-sanitation rules are not followed, both economic and health problems will arise. The air...Read all Food Protection Ring Contamination in food plants is inevitable unless the necessary importance is taken. Especially in the slaughterhouses and animal shelters, if adequate ventilation and hygiene-sanitation rules are not followed, both economic and health problems will arise. The air in these areas gets polluted in a short time, and causes various diseases in living things. Ventilation eliminates such problems. Opening the door and window especially in the winter season, in cold weather poses a risk. Microbial contamination in slaughterhouses is inevitable especially in summer, and the quality of the carcass obtained decreases. This project is about sterilization and climatization of the air in shelter and slaughterhouses with a specially designed equipment, software and database.
Neil Cikurel Join group I GROW MY FUTURE WITH SMART AGRICULTURE We're Vocational and Technical Anatolian High School in Turkey. We are working on IT, software, cloud computing and IoT. Our food and beverage services area will grow micro green, micro vegetable and edible flowers in the greenhouse. Our...Read all I GROW MY FUTURE WITH SMART AGRICULTURE We're Vocational and Technical Anatolian High School in Turkey. We are working on IT, software, cloud computing and IoT. Our food and beverage services area will grow micro green, micro vegetable and edible flowers in the greenhouse. Our Hungarian (Magyar) partner will export our products. The experts of our Austrian partner will share information with us in growing the products in the greenhouse. Briefly, we will realize our project in partnership with Turkish, Spain and Hungarian (Magyar) .
Huseyin TASATAN Join group LARISSA - LEAN based Artificial Resource Intelligence decision Support System Applied to food chain The main objective of LARISSA is to develop a novel Decision Support System which detects, designs and proposes agri-food strategies at the regional and continental level, optimizes the...Read all LARISSA - LEAN based Artificial Resource Intelligence decision Support System Applied to food chain The main objective of LARISSA is to develop a novel Decision Support System which detects, designs and proposes agri-food strategies at the regional and continental level, optimizes the process by its vertical and horizontal dimensions of the whole agri-food chain, provides recommendations through what-if scenarios to the stakeholders regarding pre-production, production, distribution and transactions. LARISSA presents an innovative business model which aims to fix the game theoretics in the current agri-food-chain conjuncture. Consortium involves 5 partners from 4 different countries with complementary expertise and infrastructure in the envisaged area. The knowledge acquired inside the project will be gathered through collected data from the HOT points in the pilot regions from Turkey, Romania, Italy and Austria, with well-defined land characteristics. The platform will be tested in regions from different geographical locations and specific cultural-spacial-temporal constraints.
Emin Batur Dizdar Join group DEMETRA A data-driven decision support system for digital agriculture applications using the recent ICT approachesAdrian-Viorel Coman Join group Harnessing Machine Learning in ICT Sensor Systems for Decision Support in Wheat Production for Producers and Policy Makers The environmental impact of food production has become a key feature in European climate action planning. Environmental sustainability is preserved with best...Read all Harnessing Machine Learning in ICT Sensor Systems for Decision Support in Wheat Production for Producers and Policy Makers The environmental impact of food production has become a key feature in European climate action planning. Environmental sustainability is preserved with best practice and effective policy measures. Farmer practices are under scrutiny particularly operations which may negatively impact the environment. Practices including the land-spreading of organic fertilisers in sub optimal conditions resulting in nutrient losses which represents both an input loss and a negative environmental impact.
This project introduces an ICT platform to gather, analyse and present real time data to crop producers and policy makers to support decisions for appropriate timing using a case study for the application of Nitrogen (N) on wheat fields. The system is enabled by fundamental research in soil and plant science and harnesses domain specific Machine Learning (ML) tools with real-time IoT and remote imagery data collection techniques to apply this research to support best decisions.
Declan Delaney Join group Digitalization of Citrus Value Chain (DIGIT4CITRUS) In this project with using Data Integration, we will improve traceability of supply chain of citrus for the improvement of supply chain linkages to enhance efficiency and effectiveness of production and distribution; and improvement...Read all Digitalization of Citrus Value Chain (DIGIT4CITRUS) In this project with using Data Integration, we will improve traceability of supply chain of citrus for the improvement of supply chain linkages to enhance efficiency and effectiveness of production and distribution; and improvement of on-farm production practices. During the project we will set-up and pilot external traceability system for citrus with using ICT. This system to be tested in Turkey and Greece and Spain and will integrate key applications and services that will address the challenges presented above. System will record and follow the citrus come from farmers and are processed and/or distributed as end products for consumers. Therefore, the basis of all traceability systems will be the ability to identify citrus that move along the supply chain. In practice, traceability systems will record keeping systems that show the path of citrus from suppliers through intermediate steps to consumers.
Nilay Alüftekin Sakarya Join group Integrated System for the Valorization of Food Surpluses (INFUSE) According to FAO one third of the total food produced is lost or wasted worlwide, while 815 million people are undernourished. To solve this paradox some supply chain actors have engaged in the practice of surplus food...Read all Integrated System for the Valorization of Food Surpluses (INFUSE) According to FAO one third of the total food produced is lost or wasted worlwide, while 815 million people are undernourished. To solve this paradox some supply chain actors have engaged in the practice of surplus food redistribution for social need in collaboration with Non Profit Organizations (NPO). However, in many cases the donation process is still inefficient and companies perceive little or no economic incentive in adopting this practice, due to the added cost required for surplus food redistribution and the lack of clear economic returns (including fiscal ones). INFUSE project aims to develop an integrated ICT platform which allows to easily collect and share information on the generated surplus food among food donors and NPOs and handle it more efficiently, generating economic and social value for the whole system. To do so, it combines technological innovation with process reconfiguration, digitalizing the donation activity and using data to optimize logistics.
Maurizio Magarini Join group Holistic digital communication channel between food producers and consumers The aim of this project is to stimulating regional growth and innovations in the areas of agriculture and business by developing a two-way digital communication channel between food producers and consumers. The...Read all Holistic digital communication channel between food producers and consumers The aim of this project is to stimulating regional growth and innovations in the areas of agriculture and business by developing a two-way digital communication channel between food producers and consumers. The porous of the digital channel is to provide insight into choices and decisions of consumers and producers. Focus is on information transfer and visualization, and includes competence in areas of design, and environmental assessment with focus on life cycle perspective. The information gathered about the various food products will cover the entire production chain. Such knowledge can help food producers identify 'hot spots' in their production and improve their process to meet consumer needs and principles. Thus, it could increase the attractiveness and growth of the agricultural, and help to develop knowledge and practices within the food industry. The knowledge gathered in this project will used for further research activities in collaboration with industry and education.
Itai Danielski Join group AgriAlytics AgrialyticsGaetano Volpe Join group Development of an integrated Information and Communication Technology (ICT) platform that includes from hive to table residue and odor (aroma) tracking system in hives for more reliable honey production The Food Safety is getting more interest day by day all over the world. On the...Read all Development of an integrated Information and Communication Technology (ICT) platform that includes from hive to table residue and odor (aroma) tracking system in hives for more reliable honey production The Food Safety is getting more interest day by day all over the world. On the other hand improvement of technology is giving more advantages to ensure the Food Safety. The honey is one of the most consuming and adultered products around the globe. The beehives must be healthy for the quality of bee products. A healthy hive is a hive that is away from chemical residues such as pesticides and antibiotics.
In this project, the gas composition in the environment will be measured with electrochemical (electronic nose) devices and the health and aroma status in the hive will be monitored. Through the data collected a system will be trained with machine learning algorithms and an artificial intelligence module that gives early warning will be developed. This artificial intelligence machine learning module will be supported with geographical information systems and data around apiary, as well as data from electrochemical sensors.
H.Özgül Uçurum Join group
