AI and ML are revolutionizing agriculture by enabling precision farming techniques such as predicting crop yields, detecting diseases, and optimizing resource usage. Machine learning models, such as Artificial Neural Networks and Convolutional Neural Networks, have shown promising results in estimating crop yield using remote sensing data. Vegetation indices have also been identified as key variables in predicting crop yield.
