Using machine learning on Spresense for agriculture robotics

Check out this guide by the engineer Adam Taylor on using Spresense and machine learning to control an agriculture robot. With the computing power of Spresense, combined with AI, the robot takes real-time decisions about using irrigation and spraying. The solution uses the Spresense 5 megapixels camera board and the internal GPS with a machine learning model trained on data sets of crops imagery.

Adam presents the solution in a step-by-step manner, both in a video as well as in a comprehensive pdf which you find here.

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