AI Fertilizer & Micronutrient Optimization


Objective


Recommend the optimal fertilizer and micronutrient mix per crop and soil to lift yield and cut input waste.

Methodology


Agile delivery: soil & agronomy discovery, feature engineering on soil-test, crop & weather data, model training, and field validation.

Architecture


Cloud data lake unifying soil-test, crop, weather & sales data, a feature store, ML recommendation models, and agronomist dashboards.

Solution


An automated platform delivering field-level nutrient recommendations, dosage optimization, deficiency alerts, and demand forecasts.

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