There have been various studies and research done on detecting plant disease. This work is intended to identify the plant disease using Deep Learning which can be used as a defense mechanism against ...

Hence, recognizing this disease is vital to farmers. We developed a deep convolutional neural network (DCNN)-based method to assess cherry tree health using leaf images. We constructed the DCNN model ...

Leaf Decease Detection using CRNN is a machine learning project using Convolutional Recurrent Neural Networks (CRNN) and Flask to detect leaf diseases and suggest removals. Running on a local Flask ...

A smart plant disease detection web application built with Streamlit and TensorFlow, designed to help farmers, researchers, and plant enthusiasts diagnose diseases from leaf images with high accuracy.

Increasing threat to global food security, efficient and timely detection of plant diseases is crucial for ensuring agricultural productivity. The paper deals with a comparative analysis of the ...

4 Department of International Business Management, Tashkent State University of Economics, Tashkent, Uzbekistan This study proposes an advanced method for plant disease detection utilizing a modified ...

However, despite the rapid development of research on plant leaf disease identification, it still faces challenges such as insufficient agricultural datasets and the problem of deep learning-based ...