Found 23 repositories(showing 23)
imShub
DigiFarmer is an Artificial Intelligence and Machine Learning based project which can perform various operations/functions related to farming prediction such as Crop Quality, Yeild Prediction, Disease Detection and Weed Detection, etc. This Project is build using Flutter with dart and for backend we used the ML model's as TenserflowLite.
ArunChapagain
Digifarmer is a Flutter-based app providing AI-driven plant disease detection, health diagnostics, weather forecasts, and agricultural news. It helps farmers enhance decision-making, optimize crop management, and boost productivity.
JayanthSrinivas06
DigiFarmer is a modern, AI-powered web application that revolutionizes agricultural decision-making by combining advanced computer vision and machine learning technologies. Upload a soil image and receive intelligent crop recommendations based on soil classification and environmental analysis.
KaranPatra
No description available
Hrithik081
This project is a Python-based web application developed using the Flask framework. It provides a user-friendly interface to store and manage farmer information in a secure MySQL database. The application includes QR code generation for efficient identification and navigation. Users can easily install dependencies, run the app.
ajayunni7
No description available
nasipa1
Digifarmer - Flutter-based agricultural assistant app with disease detection, weather forecasting, and plant health diagnostics
vishalthakur08
Developed the web application at HackForChange Hackathon that connects the Farmer with the Digital World. In this, the farmer has to register one time and fill all the necessary details like land size, crops, weather conditions, etc. After registration, farmer will be notified about all the next stage details on his mobile phone. After the crops will be ready, the farmer will be suggested with real market price of cereals. The price will be calculated according to market price and the freshness scale.
harshpala
No description available
arunalbert777
No description available
Skr7867
No description available
reyzuki
No description available
enroot-mumbai
No description available
pratik20002
Source Code Submission for AWS Hackathon
Thapa-Dipesh
No description available
Sapun2
Neplease farmers best friend
Dhanyashree381
No description available
BoakyeAlbert132
trial of my final year project
Kjjustin
QR-Enabled Farmer Identification and Data Storage System
Yug0911
AI-Driven Crop Recommendation and Diseases Detection App
pratik20002
Source Code Submission for AWS Hackathon
gorretgolden
No description available
Yug0911
Crop Recommendation System
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