Cropytics Smart Irrigation - It is a combination of IoT (Sensors), Satellite imagery, Evapotranspiration models, weather predictions and crop current life-cycle analysis through machine-learning techniques. Croplytics® uses many crop models in order to learn and understand the behavior of its supported crops from all the relevant aspects – soil moisture data, water uptake, growth stages, nutrient uptake, water and stresses and more. For each field, we pull high-resolution aerial images from several sources, using many ag-related indices including Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Moisture Stress Index (MSI), True Color (RGB) and other relevant indices. Images are collected from several satellites, which allow Croplytics® to retrieve a new image for every field every three to four days in average.

 We provide an integrated hardware and software solution based upon 4 steps: Sense - data collection, Analyze - AI based data analytics, Predict and Action/Automation – alerts/notifications.