Leaf Disease Detection using yolov5 | Object Detection 

In this video, I will show you leaf disease detection using yolov5.
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Disease detection in plants plays an important role in agriculture field because plant diseases affects the growth of plant and it is one of the major problem affecting the agricultural production pattern.
Today I will show you how we can build a leave disease detection model from scratch because if we treat those diseases at early stages then we can reduce the economy losses because Agricultural productivity is something on which economy highly depends on.
Dataset Used :
PlantDoc is a dataset of 2,569 images covering 13 plant species and 30 classes (diseased and healthy) for image classification and object detection.
The PlantDoc dataset was originally published by researchers at the Indian Institute of Technology
The researchers trained both object detection models like MobileNet and Faster-RCNN and image classification models like VGG16, InceptionV3, and InceptionResnet V2.
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