About this document
Wheat Rust Detection with Deep Learning by kartikambupe is a document available to read on EtoBox.
This document discusses a deep learning approach for detecting wheat rust diseases using the MosNet classification technique, highlighting the importance of addressing crop diseases for food security in Ethiopia. The study emphasizes the limitations of previous research and proposes a novel convolutional neural network model that utilizes RGB value segmentation to improve detection accuracy. The authors aim to enhance the efficiency of disease identification in real-world conditions through their proposed m
- Author
- kartikambupe
- Language
- EN