Objective Trapview is our automated pest monitoring solution which allows growers to remotely monitor pest insects caught in their pheromone traps. Growers are no longer required to visit their traps in the fields (reduce personnel and travel expenses). They are also alerted in real-time when the high number of pest insects calls for insecticide spraying. This allows growers to optimize the use of insecticides and consequently grow healthier crops with less insecticide residues. The society benefits by eating healthier food and reducing the chance of pest insects being resistant to insecticides. We have existing revenues from having sold 1000+ of such traps.During this project we will (1) finish developing additional features that will even further reduce the need for field visits and make the computer vision automatic insect detection more accurate, (2) allocate a dense network (1000+) of these improved traps to growers of tomatoes in South Europe to monitor the pest insect Helicoverpa armigera, (3) use machine learning to develop statistical models that will aggregate data from this network of traps and allow for monitoring and predicting the occurrences of pest insects on a larger geographical scale, (4) commercialize the developed solution with new business models to existing and new customers. After the project, we will be able to move from a product-selling to an information-selling and extend our business models to cover also agriculture advising and multinational agrochemical companies.By 2022, this would allow us to grow our revenues from €600k/y to €8M/y and number of employees from 15 to 46. With the funding and successful execution of the proposed plan, EFOS Ltd. would become the most important high-tech eco-innovative provider of automated pest monitoring solutions worldwide. Fields of science natural sciencescomputer and information sciencesartificial intelligencecomputer visionagricultural sciencesagriculture, forestry, and fisheriesagriculturenatural sciencesbiological scienceszoologyentomologynatural sciencesmathematicsapplied mathematicsstatistics and probabilityengineering and technologyenvironmental engineeringenergy and fuels Keywords Sustainable agriculture resource-efficient eco-innovations in agriculture automated pest insect monitoring insecticide spraying optimization computer vision statistical forecasting models Programme(s) H2020-EU.3.2. - SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy Main Programme H2020-EU.3.2.4. - Sustainable and competitive bio-based industries and supporting the development of a European bioeconomy H2020-EU.3.2.1. - Sustainable agriculture and forestry H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument H2020-EU.3.2.2. - Sustainable and competitive agri-food sector for a safe and healthy diet Topic(s) SMEInst-07-2016-2017 - Stimulating the innovation potential of SMEs for sustainable and competitive agriculture, forestry, agri-food and bio-based sectors Call for proposal H2020-SMEInst-2016-2017 See other projects for this call Sub call H2020-SMEINST-2-2016-2017 Funding Scheme SME-2 - SME instrument phase 2 Coordinator EFOS INFORMACIJSKE RESITVE DOO Net EU contribution € 1 141 350,00 Address RAZDRTO 47B 6225 Hrusevje Slovenia See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Slovenija Vzhodna Slovenija Primorsko-notranjska Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 1 630 500,00
