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
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.
Seminar delivered at the University of Aberystwyth, 19th June 2017
Android app for estimating apple tree condition
Contains my kaggle kernels
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
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.
Kaggle's plant disease image classification competition. Finetuning pre-trained CNN models, loss functions, and optimizers in order to achieve better results.
Analysis of Plant Pathogen Pathotype Complexities, Distributions and Diversity
I am a Senior Research Scientist at CSIRO who specialises in Agroecological modelling.
Classifier build to recognize disease on apple leaves images
Population genetic analysis of _Phytophthora ramorum_ data from Oregon forests in Curry County
Zhian Kamvar's Ph. D. dissertation from Oregon State University
Leaf disc scoring pipeline for estimating the area of infection on leaf discs from inoculation experiments.
Medico is an AI model which assess the health of an apple leaf and classifies to one of the four categories
Analysis of various Deep Learning architectures for the detection of Corn🌽 Leaf Diseases
Microbiome analysis for phosphate-defense interaction
Raspberry Pi Grow Box Control Software
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