Plant Disease and Dryness Detection

Introduction:

Plant diseases are a major threat to food security since it significantly reduces crop yield and affects its quality. Traditionally, identification of plant disease is done using visual inspection but this can be efficiently automated using Computer Vision and Deep Learning Techniques. So, we have developed a model which can detect and classify plant's health through a video stream. We have implemented this model using Tiny YOLOv3 architecture and you can find more details about the development pipeline and results below.

Model Architecture:

Result:

Check Out the Project here:

1. GitHub

References:

1. https://www.researchgate.net/figure/The-network-structure-of-Tiny-YOLO-V3_fig1_338162578
2. https://github.com/qqwweee/keras-yolo3
3. https://github.com/pratikkayal/PlantDoc-Dataset

Contributors:

1. Viral Prajapati