Farmassist V2's repositories
Traditional-ML-Plant-Disease-Detection
Traditional-ML-Plant-Disease-Detection refers to the use of traditional machine learning algorithms for detecting and identifying diseases in plants.
.github
A global standardized readme to Explain the goal and the functioning of this organization
Language:SCSSMIT000
CNN-Plant-Disease-Detection
CNN-Plant-Disease-Detection refers to the use of Convolutional Neural Networks (CNN) for detecting and identifying diseases in plants. The aim is to create a computer vision system that can accurately and efficiently identify different types of plant diseases based on images of the plants.
GPL-3.0000
farmassist-iot-device-simulator
A minimal IoT device simulator built using Node-RED. It sends telemetry data to Firebase Realtime Database for Farmassist app.
Language:DockerfileGPL-3.0000
Language:TypeScript000
farmassist-Web
Web version of farmassist
MIT000