Dipper throated optimization with deep convolutional neural network-based crop classification for remote sensing image analysis.

The proposed DTODCNN-CC technique provides a promising solution for efficient and accurate crop classification using remote sensing images. This approach has the potential to be a valuable tool for various applications in agriculture, food security, and environmental monitoring.