PlantGuard: intelligent plant disease detection
Abstract
Every year, there is significant crop loss in developing countries due to delays in
identifying plant diseases. Prompt and accurate identification of these diseases,
with less reliance on field experts, could greatly mitigate this issue. Recognizing
plant diseases correctly, particularly when they present similar leaf textures, poses
a significant challenge. It’s crucial to consider factors such as leaf color and various
texture features to accurately predict plant defects. The objective of this project is
to employ Deep Learning methodologies for the detection of plant diseases based on
leaf images. Deep learning, specifically Convolutional Neural Networks, is chosen
due to its effectiveness in extracting features from plant leaves, making it well-suited
for image data analysis in this context.