Agricolus DSS: Crop Disease Forecasting & Pest Management
Supports precision farming for olive, tobacco, vineyard, and corn crops with AI-driven disease forecasting and treatment optimization
Detail description
Agricolus DSS is a cloud-based decision support system funded by the EU Horizon 2020 programme (grant No. 818194) that helps farmers manage crop diseases and optimize pest treatments. It integrates data from weather forecasts, remote sensing, crop scouting, and IoT sensors to deliver localized, actionable insights for crops including olives, tobacco, vineyards, and corn. The platform supports farmers with real-time risk assessments and treatment recommendations while enabling phytosanitary product companies to evaluate product efficacy. Designed with data ownership and open data principles, Agricolus reduces chemical use, lowers costs, boosts productivity, and enhances environmental monitoring. Accessible via web and mobile, it supports individual and collective decision-making in sustainable agriculture.
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Contribution detail info
- Project
- Location
- Europe
- Authors
- Marco Venturini, Livia Ortolani, Giulia Petitta
- Purpose
- Support decision-making and strategic planning, Predict trends and forecast outcomes
- File type
- dataset
- Created on
- May 01, 2026
- Origin language
- English
- Official project website
- DESIRA
- License
- CC BY
- Keywords