Automated Weed-Related Disease Detection in Crops Using Image Processing and Machine Learning
DOI:
https://doi.org/10.48047/zx99a061Keywords:
CNN, Crop disease identification, Crop health monitoring, Image processing, Precision agriculture, Weed-based disease detection.Abstract
Effective management of crop diseases is thus necessary to assure food security and
raise agricultural productivity. Weeds provide a regular and harmful threat to crop growth and
complicate the diagnosis and management of diseases in a timely way, therefore promoting the
spread of diseases. This work investigates the possibilities of image processing techniques for the
identification of agricultural diseases connected to weed. Under various lighting conditions, we
sort aerial images of crops and weeds taken by many cameras or drones using a deep learning
model
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