A lightweight Python deep learning framework for precision agriculture. It leverages a CNN autoencoder to detect mixed pixels in thermal images, enabling early crop disease detection with robust metrics (MPP, SSIM, MSE) and scalable design.
python machine-learning ai computer-vision deep-learning agriculture tensorflow image-processing cnn autoencoder thermal-imaging unsupervised-learning data-augmentation precision-agriculture crop-disease disease-detection crop-disease-detection plant-health mixed-pixels scalable-design
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Updated
Mar 4, 2025 - Jupyter Notebook