Harvesting Intelligence. Optimizing yields and battling disease with Computer Vision and ML.
Drone and satellite image analysis using computer vision to detect disease, pest infestations, and nutrient deficiencies.
Forecasting harvest volume using historical data, weather patterns, and soil conditions with time-series ML models.
Water and fertilizer recommendations based on precise need calculations, reducing waste by 40% and costs by 30%.