Imagine a smart camera trap that doesn't just catch bugs, but knows exactly which ones are there and when they will multiply. It's like having a 24/7 security guard for your crops who can predict a pest attack before it happens. This helps farmers stop using chemicals blindly and only spray when and where it is actually needed.
Pest monitoring is currently slow, expensive, and inaccurate, leading to excessive pesticide use and biodiversity loss. This inefficiency contributes to a global loss of 40% of food and 200B€ in yearly damages.
A suite of smart traps (Delta, Color, Stink) with high-resolution cameras and sensors, supported by ML algorithms for insect counting and a cloud-based predictive platform.
If you are a commercial crop farm dealing with unpredictable pest outbreaks and high pesticide costs — this project developed a smart trap system that identifies pests with over 95% accuracy. This allows you to prevent crop loss and reduce chemical use.
If you are a software provider dealing with a lack of real-time biological data for farmers — this project developed a digital platform integration that provides predictive pest life-cycle events. This adds a high-value predictive layer to existing farm management tools.
If you are a consultancy firm dealing with the need to reduce biodiversity loss caused by over-spraying — this project developed AI-based monitoring that targets specific insects. This enables precise, data-driven advice to reduce the 200B€ yearly economic damage caused by pests.
Based on available project data, the specific price per unit or subscription cost is not mentioned; however, the project received an EU contribution of EUR 870,625 for development.
Yes, the solution is designed for the Agriculture 4.0 era and integrates with a digital platform already being commercialized by xFarm Technologies.
Based on available project data, the technology is developed by xFarm Technologies Italia SRL, but specific patent or licensing terms are not detailed in the report.
The output from the AI algorithms and predictive models is delivered directly to farmers through the xFarm digital platform.
The project period ran from 2023-02-01 to 2025-01-31, indicating the development and optimization phase is now concluding.
The project is led by a single Italian SME, xFarm Technologies Italia SRL, with a 100% industry ratio. This indicates a highly commercial-driven approach where the development is tightly coupled with a company that already has a commercial digital platform, reducing the gap between research and market entry.
Contact xFarm Technologies Italia SRL regarding the xTrap integration
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