Various Kaggle image classification challenges solutions
Brazilian Agricultural Research Corporation (EMBRAPA) fully annotated dataset for plant diseases. Plug and play installation over PiP.
Analysis for "Population structure and phenotypic variation of *Sclerotinia sclerotiorum* from dry bean (*Phaseolus vulgaris*) in the United States"
A systematic/quantitative review of articles, which provides a basis for identifying what has been done so far in the field of plant pathology research reproducibility and suggestions for ways to improving it.
Population genetic analysis of _Phytophthora ramorum_ data from Oregon forests in Curry County
Analysis of Plant Pathogen Pathotype Complexities, Distributions and Diversity
Zhian Kamvar's Ph. D. dissertation from Oregon State University
Microbiome analysis for phosphate-defense interaction
Analysis of various Deep Learning architectures for the detection of Corn🌽 Leaf Diseases
This project is an AI-powered plant disease prediction tool utilizing Convolutional Neural Networks (CNN). It is specialized for identifying diseases in maize, potato, tomato, and rice crops, helping farmers and agricultural professionals detect and manage crop diseases early.
Contains my kaggle kernels
Raspberry Pi Grow Box Control Software
Use of computational vision techniques to detect plant diseases
The Cotton Disease Detection System is an AI-powered web application that helps farmers and agricultural experts identify diseases in cotton plants through image analysis.
Medico is an AI model which assess the health of an apple leaf and classifies to one of the four categories
Identificação de doenças em folhas de maçã, utilizando rede neural convolucional. Identificando as folhas que estão saudáveis, as que estão infectadas com a ferrugem da macieira, as que têm sarna da macieira e as que têm mais de uma doença.
Seminar delivered at the University of Aberystwyth, 19th June 2017
Classifier build to recognize disease on apple leaves images
An Open Source Disease Detection Platform for Microimaged Plant Phenotypic Characteristics (Currently for Tomato, Cucurbit, and Grape)
Presentation delivered at the 2017 EUPHRESCO workshop in Edinburgh, 1st November 2017
Add a description, image, and links to the plant-pathology topic page so that developers can more easily learn about it.
To associate your repository with the plant-pathology topic, visit your repo's landing page and select "manage topics."