Plant Disease Detection is a web-based application leveraging React for the frontend and Python (FastAPI, PyTorch) for the backend. It uses an ResNet for deep learning model to identify plant diseases ...

The scope of the "Plant Disease Detection Using Deep Learning and Python" project encompasses several key aspects aimed at developing a robust and practical solution for agricultural applications. The ...

Abstract: Detection ... disease symptoms. To solve this problem, an effective Wavelet Kernel Extreme Learning Machine (WKELM) classifier is proposed for distinguishing diseased and healthy plants.

Python is commonly used for its integration with visualization ... This analysis aims to guide researchers in refining plant disease detection methods using hyperspectral imaging for improved accuracy ...

To train and test, we used Anaconda Framework with python 3.1, TensorFlow ... [1] Mohanty, S.P., Hughes, D.P. and Salathe, M. (2016) Using Deep Learning for Image-Based Plant Disease Detection.