Agricolus
Agricolus - Optimizing agronomic practices by making agtech tools easier for farmers
Agricolus helps farmers to take the best decision to improve their productivity.
Agricolus covers up to 70% of functionalities common to all the crops and dedicated professional algorithms for diseases forecasting and agricultural optimizations. By using modern data collection technologies Agricolus has: Informatization of agricultural management for easier storage of plot’s data and analysis ; support in order to administer differential treatments and other operations for the crops (fertilizers, plant protection products and irrigation) ; alert about diseases and other adversities that can affect crops using proprietary algorithms. The innovative element of the solution is the use of machine learning applied to pests and diseases forecast models. Agricolus helps to monitor crops and weather condition, prevents pest and disease, and saves inputs (treatments, fertilizers, water) while also providing traceability, an end to end tracking service that can bring information on good agronomical practices directly to the end users to raise their awareness on the real value of the goods they are buying.
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Key features
- •Make possible to reduce by 20% the use of treatments and fertilizers, in order to save input and reduce the environmental impact
Profitability
- •An average savings of about 15% on several crop inputs such as seed, fertilizer and chemicals
- •Can generate saving amounting to 210$/ha for corn and up to 200$/ha for rice
Categories of Application
SDG’s of application
Maturity Stage
- Medium and large scale commercialization
- Small scale commercialization
- Initial market commercialization
- Prototype testing in the real world
- Prototype testing 1:1 in the lab
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Related Topics
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