yieldsApp is an innovative machine-learning platform that identify pests and diseases in plants, predicts their occurrences and provides recommendations for optimal use of pesticides.
Our solution integrates real-time data with extensive agronomy know-how to provide farmers with consice, simple and highly accurate recommendations.Learn More
yieldsApp's algorithm helps farmers to easily and accurately identify pests and diseases in major crops. The powerful algorithm, which analyzes weather data, extensive know-how and user feedback provides the most accurate identification.
The recommendations module provides the farmer with precise recommendations about which pesticides to use, when and how. Our AI and machine learning algorithm allows for ever-improving recommendations.
In our approach, prevention, detection, prediction and management of pests and diseases is achieved by using AI and machine learning algorithms
We utilize a huge amount of real time data form satellite imagery, weather conditions, crowd-sourced information and data from sensors
We integrate the data with extensive agronomy know-how, updated research results and best practices, to create proprietary know-how.
Field data, grower's inupt and the agronomical know-how are being modeled and analyzed by sophisticated self-learning algorithms.
The grower gets easy-to-use pests and diseases identification tools and precise recommendations for pesticide application, using a holistic approach.