Crop monitoring, soil analysis, and predictive farming—powered by machine learning and IoT.
AI-powered real-time crop disease detection using drone imagery and satellite data.
Soil quality analysis, nitrogen/phosphorus/potassium levels, and irrigation recommendations.
Machine learning models predict weather patterns and optimize harvest windows.
Computer vision algorithms identify and classify pest infestations in real-time from field cameras.
AI analyzes soil moisture, weather forecasts, and irrigation systems to reduce water waste by 40%.
Predict crop yields 3-6 months in advance with 98% accuracy using satellite data.
Recommends crop varieties based on climate, soil conditions, and historical performance data.
Join our beta program and get early access to the future of farming.
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