Use of computational vision techniques to detect plant diseases
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Updated
Feb 9, 2019 - Jupyter Notebook
Use of computational vision techniques to detect plant diseases
Contains my kaggle kernels
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.
Raspberry Pi Grow Box Control Software
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.
Presentation delivered at the 2017 EUPHRESCO workshop in Edinburgh, 1st November 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)
Seminar delivered at the University of Aberystwyth, 19th June 2017
Este es un espacio de un no-programador para no-programadores que quieren aprender un poco más de sobre ciencia de datos, genética y bioinformática. Y porque no, un lugar en donde los programadores pueden colaborarnos en este proyecto.
Android app for estimating apple tree condition
Leaf disc scoring pipeline for estimating the area of infection on leaf discs from inoculation experiments.
Kaggle's plant disease image classification competition. Finetuning pre-trained CNN models, loss functions, and optimizers in order to achieve better results.
I am a Senior Research Scientist at CSIRO who specialises in Agroecological modelling.
AI-powered plant disease detection system using deep learning. Upload plant images to instantly identify 30+ diseases across Apple, Corn, Grape, Potato, Tomato & more crops. Built with FastAPI + React TypeScript. Ready for cloud deployment.
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.
Analysis of Plant Pathogen Pathotype Complexities, Distributions and Diversity
Zhian Kamvar's Ph. D. dissertation from Oregon State University
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