The proposed research aims to develop machine vision-based decision support system for variable crop management. This research will deploy the deep learning models for plant/weed detection, plant growth indicators and soil organic matter assessment. The information retrieved from these models will be used to devise variable rate management map to optimize the consumption of agrochemical […]
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