This project was bootstrapped with Create React App.
In the project directory, you can run:
Installs the necessary packages .\
In the project directory, you can run:
Runs the app in the development mode.
Open http://localhost:3000 to view it in your browser.
The page will reload when you make changes.
You may also see any lint errors in the console.
Launches the test runner in the interactive watch mode.
See the section about running tests for more information.
Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is ready to be deployed!
Hosted website : https://croppal.netlify.app/
Welcome to our crop identification and detection website! This project utilizes cutting-edge computer vision solutions powered by VGG16 and EfficientNet-B0 to provide accurate crop identification and growth stage analysis.
Features Crop Identification: Our computer vision solution accurately identifies various crops based on input images. Crop Detection: Detects the presence of crops in images, aiding in precise crop mapping and analysis. Accuracy: Leveraging VGG16 and EfficientNet-B0 models, our system offers unparalleled accuracy in crop identification and growth stage analysis.
