Project description
Automated pest control solution
The use of insecticides in agriculture poses environmental risks, disrupting natural pest control mechanisms and harming ecosystems. To address this issue, the EIC-funded PATS project introduces a groundbreaking insect control solution that leverages advanced technologies. This fully automated system combines AI algorithms with sophisticated control mechanisms, including bat-like hunt drones and other predator-prey inspired techniques. By integrating biology with technology, the PATS project aims to revolutionise agriculture, offering an ecosystem of innovative solutions. This includes precise data on flying pests, natural predators, and pollinators, facilitating organic farming practices and reducing reliance on insecticides. The project targets a significant reduction of insecticide usage, aiming for a 75 % decrease by 2030, with an initial 10 % reduction expected.
Objective
PATS provides a fully automatic insect control solution, which combines automated monitoring and AI solutions with high control methods such as bat-like hunt drones and ultrasonic predator-prey confusion.
Our vision is to revolutionize agriculture by combining biology with technology. We offer an ecosystem of innovative solutions designed to enable organic farming and significantly reduce insecticide usage. By integrating biological control with our technological methods, we aim to cut insecticides by 75% and achieve a 10% reduction by 2030.
Our control methods effectively tackle hard-to-manage pests that previously necessitated insecticides. The collateral damage from these chemicals disrupts biological control, not just for these pests but also for others. Our automated monitoring provides precise data on flying pests, natural predators, and pollinators. This granular data empowers farmers to optimize biological control, improving its efficiency and making it a sustainable choice.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- natural sciencesbiological sciencesecologyecosystems
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
- natural sciencesbiological scienceszoologyentomology
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Programme(s)
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Funding Scheme
HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended FinanceCoordinator
2628 XH DELFT
Netherlands
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.