Project description
Smart solutions for pest management
Farmers face a major challenge with pest management, which can devastate crop yields and threaten food security. Traditional methods are often reactive, leading to losses and increased pesticide use. This approach not only impacts the environment but also farmers’ profits. To tackle this issue, the EIC-funded xTrap project offers a smarter solution for pest management in the Agriculture 4.0 era. Specifically, it combines real-time monitoring with machine-learning predictions, achieving over 95 % accuracy in forecasting pest life cycles. Smart traps equipped with high-resolution cameras automatically detect and identify pests. Additionally, predictive algorithms analyse environmental data to help farmers act quickly against threats. Accessible through a digital platform, xTrap empowers farmers to protect their crops effectively.
Objective
xTrap is an innovative smart trap solution that will transform pest management operations in farms, fostering the transition towards the Agriculture 4,0 era. It combines real-time automatic monitoring of pest insects with prediction based on machine-learning models. xTrap is the first predictive solution for pest life-cycle events (over 95% accuracy) on the market. It accurately identifies crop pests and diseases in time, therefore allowing farmers to prevent them effectively. xTrap includes two main functions: 1) automatic insect detection through smart traps equipped with sensors and high-resolution cameras to count and identify insects by means of machine-learning algorithms, and 2) pest prediction through algorithms based on environmental data and phenology of insects combined with the use of artificial intelligence. The output from the algorithms and the predictive models will be available to farmers through our digital platform currently being commercialized by xFarm.
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. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- agricultural sciences agriculture, forestry, and fisheries agriculture
- natural sciences biological sciences zoology entomology
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended Finance
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIC-2022-ACCELERATOR-01
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
15040 Valmacca
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.