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Deep Learning for Crop Disease Detection by travellerbd02 is a document available to read on EtoBox.

This document discusses the application of deep learning algorithms, specifically Faster-RCNN and Openpose, in the identification and localization of crop diseases and pests using computer vision. It highlights the limitations of traditional methods and emphasizes the advantages of deep learning in improving accuracy and efficiency in agricultural practices. The study concludes that these technologies can significantly enhance crop health monitoring and pest control, contributing to more intelligent and aut

Author

travellerbd02

Language

EN