There are 0 repository under plantdiseasedetection topic.
Plant Disease Detector Web Application
A deep learning CNN model to predict diseases in plants using the famous AlexNet architecture
Android App to Detect Plant as well as Pest Detection
CPSC 5305 01 22FQ Introduction to Data Science Project
Plant Disease Detection using convolutional neural network. Our model can easily predict the disease of plants like Potato , Tomato , Pepper Bel and many more in the upcoming version.
Plant Disease Detection using Convolutional Neural Networks
Winner of 2021 Congressional App Challenge and OC Science Fair - https://youtu.be/cT2PHyR4q08
Apple Diseases Classificaiton with Google Teachable Machine
The project aims to develop a system that can accurately identify various diseases in plants using machine learning algorithms. The project aims to provide a tool that can help farmers and plant pathologists quickly identify and treat plant diseases, leading to higher crop yields and better food security.
This is a project i made for my MINOR in college , which is based on Machine Learning and focuses on Image Processing .Feel free to make changes .
PlantDoc is a powerful web-based platform that allows farmers to detect plant diseases by simply uploading an image.
an application of the logistic regressor for the plant disease resistance genes. Given a fasta file and the corresponding expression file and a motif types which you think are associated with the plant disease resistance, if prepares the classification datasets and then fits a logistic regressor for the model building.
I coded this function to make a comprehensive gene isolation for the plant resistance genes from the long reads sequencing. Given PacBio or Oxford Nanopore Reads, it will assemble, predict the plant disease resistance genes and will allow you to analyze the mutations in the plant disease resistance genes
Plant Disease Detection Application using CNN Algorithms
The Project aims to detect Potato Plant Diseaseš± from the uploaded images of the leaves of the before the plant gets the disease. The main aim of the repo was to learn CNN's with tensorflow.
This project is build using the Convolutional Neural Network which will be able to predict whether a plant is suffering from a disease.
This repository contains code and resources for classifying eggplant diseases using Convolutional Neural Networks (CNN). The project aims to provide a solution for identifying diseases in eggplants through image classification techniques, facilitating early detection and intervention to prevent crop losses.