Agriculture. Sensors on planting and harvesting equipment grab thousands of data points each second they’re running and upload to the cloud in near real-time.
ML comes in to play when correlating yield response to soil types, plant varieties, and product applications to do things like nitrogen availability modeling, etc.
Mean_Improvement t1_j31jip4 wrote
Reply to [D] ML in non-tech fields by fr4nl4u
Agriculture. Sensors on planting and harvesting equipment grab thousands of data points each second they’re running and upload to the cloud in near real-time.
ML comes in to play when correlating yield response to soil types, plant varieties, and product applications to do things like nitrogen availability modeling, etc.