Plant Disease Detection using Convolutional Neural Networks
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Updated
Oct 10, 2019 - Jupyter Notebook
Plant Disease Detection using Convolutional Neural Networks
A deep learning CNN model to predict diseases in plants using the famous AlexNet architecture
Apple Diseases Classificaiton with Google Teachable Machine
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 .
Plant Disease Detector Web Application
The Project aims to detect Potato Plant Disease🌱 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.
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.
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.
Android App to Detect Plant as well as Pest Detection
Winner of 2021 Congressional App Challenge and OC Science Fair - https://youtu.be/cT2PHyR4q08
This project is build using the Convolutional Neural Network which will be able to predict whether a plant is suffering from a disease.
CPSC 5305 01 22FQ Introduction to Data Science Project
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.
Plant Disease Detection Application using CNN Algorithms
functional gene assembly of plant resistance genes.
logistic regressor for the plant disease resistance genes using sequence features and expression.
Using YOLOv8 and Detectron2 models, this project automates the detection of plant diseases from image data to facilitate early diagnosis and treatment.
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