plant-disease

Disease classification on different plants with using Machine Learning and Convolutional Neural Networks.

Brazilian Agricultural Research Corporation (EMBRAPA) fully annotated dataset for plant diseases. Plug and play installation over PiP.

API for the plant disease recognition artificial inteligence project which I collaborated on as a member of Team fort in the NaijaHacks hackaton.

Plant Disease Identification Using Convulutional Neural Network

Plant Disease Detection

AI powered plant disease detection and assistance platform currently available as an App and API.

Image processing code for blob detection and feature extraction in MATLAB. Paper Reference: Detecting jute plant disease using image processing and machine learning. Find the full text here: http://ieeexplore.ieee.org/document/7873147/

☘️ A beautiful Plant App UI written in Java for android with examples.

Code for the paper On Using Transfer Learning For Plant Disease Detection

A project to train and evaluate different dnn models for plant disease detection problem, tackle the problem of scarce real-life representative data, experiment with different generative networks and generate more plant leaf image data and implement segmentation pipeline to avoid miss-classification due to unwanted input

R Scripts and supporting data for creating metamodels, as published in Ecosphere, and using them to generate global estimates of potato late blight risk based on climate data as published in Global Change Biology.

Plant disease classification using Neural Networks

A study of the effects of different water and nitrogen managements on sheath blight of rice.

Website for online plant diseases analysis from images with advanced search engine.

plant leaf diseases prediction using four different trained models named pytorch, TensorFlow, Keras and fastai

Raspberry Pi Grow Box Control Software

[IEEE LUMS CodinGuru 2020 - Hackathon Winner] Detect and track locations of TYLCV disease by sending a picture of a leaf to a web chat.

r.pops.spread - PoPS model implemented as a GRASS GIS module

Files for biotic stress mapping in STRASA Phase III

React front end of Image classification app AgRGB for detecting leaf disease in plant Leafs.

An AfricaRice and IRRI project for modelling effects of climate change on rice disease in Tanzania.

Epidemiologia de Doenças de Plantas Aplicada com R

Using a pre-trained efficientnet (for experimental purposes) to classifier plant diseases given an image. Plant village challenge dataset.

A deep learning based system for disorder detection in tomato plants. Also used IoT to get sensor data from the plants. Two seperate models were trained for this project. One dealt with Images and other with Sensor Data. You can use both to predict the Disorder of Tomato Plants.

A project to detect plant disease using leaf images and to calculate the percentage of leaf affected by the disease using OpenCV.

Dataset Analysis and CNN Models Optimization for Plant Disease Classification.

Classifier build to recognize disease on apple leaves images

Plant disease detection using images of leaves

Bangkit Capstone Project