Map My Crop
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Field-level satellite crop-monitoring and agronomic-decision records for Indian sugarcane, anchored on a Maharashtra cooperative catchment: recurring multispectral imagery passes per plot, derived health and vigour and biomass time series, soil-condition layers, yield statistics and predictive-analytics outputs, and variable-rate fertiliser prescription maps. The standout asset is the paired experimental design created deliberately: an AI-managed plot run alongside a traditional plot, with measured morphological outcomes per variety (tillers per seeding, internode count and length, leaf width, cane height) and input-cost records — a matched treated and control dataset at field scale, which remote-sensing buyers almost never get.
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