This project aims developing system that can identify and categorize diseases in plant leaves from images. This process integrates various stages from data collection to deployment, utilizing advanced machine learning techniques to improve agricultural productivity and plant health.

Embrace limited and imperfect training datasets in plant disease recognition using deep learning.

Built with Expo, Expo Router, Reanimated 3 etc. PlantApp

This project uses a Convolutional Neural Network (CNN) to classify potato plant images as Healthy, Early Blight, or Late Blight. Built with TensorFlow and Keras, it helps in quickly identifying plant diseases for better crop management.

web application that help people grow healthy plants

GreenGuardian is an innovative Flutter app designed to empower users with the ability to swiftly identify and address plant diseases. Leveraging the robust Haar Cascade algorithm for image processing and disease detection, this app simplifies the process by allowing users to capture or select images of plant leaves directly from their mobile device

plant resistance gene analyzer for getting the dna and protein sequences.

functional gene assembly of plant resistance genes

This is a deep learning project in agriculture domain that detect plants diseases

A simple Plant disease detector APP, using image classification (Machine Learning) technique.

Plant Disease Detection Using CNN

plant resistance gene miner for linking the resistance gene to genbank id.

Automated plant disease detection system using image processing to help farmers to identify crop issues early and improve yield quality.

Detecting diseases in maize plant leaves using convolutional neural network

Transfer learning efficientNet to classification disease on plants. Build web application with React and FastAPI

This app helps detect and diagnose plant diseases using advanced image recognition and deep learning models like MobileNetV2. By analyzing plant photos, it provides accurate disease identification and timely insights for farmers and gardeners.

This Django-based REST API facilitates the detection of diseases on plant leaves, aiding in the identification of leaf diseases.

This is an App to Detect Plant Diseases Using Image Classification

Detection of disease in Plant using Plant Village dataset

Developed a Plant Species Identification system using Flask and the ResNet9 model. This tool accurately identifies plant species from images, making it indispensable for botany enthusiasts. Key skills involved include Convolutional Neural Networks (CNN), HTML, CSS, and Python.