farmassist-cm Goto Github PK
Name: Farmassist V2
Type: Organization
Bio: We are working to create Farmassist, a smart farming app for IoT and AI-powered plant disease detection.
Location: Cameroon
Name: Farmassist V2
Type: Organization
Bio: We are working to create Farmassist, a smart farming app for IoT and AI-powered plant disease detection.
Location: Cameroon
A global standardized readme to Explain the goal and the functioning of this organization
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.
A minimal IoT device simulator built using Node-RED. It sends telemetry data to Firebase Realtime Database for Farmassist app.
Web version of farmassist
Traditional-ML-Plant-Disease-Detection refers to the use of traditional machine learning algorithms for detecting and identifying diseases in plants.
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.