DigiFarmer is an AI&ML based project which can perform various functions related to farming prediction such as Crop Quality, Disease Detection, etc. This project is built using Flutter & dart and for back-end the ML model's as TensorFlow Lite and LGBM Classifier Algorithm is also used.
In recent times, farmers are facing various challenges such as crop diseases, unpredictable weather patterns, and uncertain markets. This results in low crop yield and financial losses for farmers. To address these challenges, DigiFarmer aims to provide farmers with a tool that can help them make informed decisions related to crop quality, disease detection, and other related factors.
DigiFarmer is an app that uses AI&ML models to predict crop quality, detect diseases, and other related factors. The app is designed using Flutter and Dart programming language. The app uses TensorFlow Lite and LGBM Classifier Algorithm for the back-end processing.
The tech stack used in this project includes:
- Flutter
- Dart
- TensorFlow Lite
- LGBM Classifier Algorithm
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Karan Patra
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Arpit Mishra
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Vivek Prajapati
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Shubham Waghmare
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