Enhanced Deep Learning Based Precision Agriculture with CNNs

Published in Journal of Mechanics of Continua and Mathematical Sciences, 2024

This research delivers a CNN powered decision support engine for crop recommendation that interprets soil chemistry, temperature, humidity, pH, and rainfall indicators. By embracing explainable AI principles, the method elevates precision in agricultural planning and supports sustainable yield outcomes.

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