An all purpose flutter app for farmers made under Food and Agriculture theme in Accelathon hackathon
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Updated
Apr 24, 2022 - Dart
An all purpose flutter app for farmers made under Food and Agriculture theme in Accelathon hackathon
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
Developed a machine learning-based crop prediction model to assist farmers in making informed decisions about crop selection, planting, and harvesting.Integrated weather and geolocation APIs along with a web page for simplified user experience.
The Crop Management System is a machine learning-based project designed to provide predictions and recommendations for farmers.
An Intelligent Crop Recommendation system using Machine Learning that predicts crop suitability by factoring all relevant data such as temperature, rainfall, location, and soil condition. This system is primarily concerned with performing AgroConsultant's principal role, which is to provide crop recommendations to farmers.
Predicting Crop Yield.
SmartCrop: Intelligent Crop Recommendation
Prediction of suitable crop using soil and weather conditions.
The model focuses on predicting the crop yield in advance by analyzing factors like district (assuming same weather and soil parameters in a particular district), state, season, crop type using various supervised machine learning techniques. This helps the farmers to know the crop yield in advance to plan and choose a crop that would give a bett…
A mobile application involving machine learning to recommend crop variety and also predict crop yield.
Farmer assistant system VCET Hackathon 2k22
This web application uses Machine Learning to recommend crop, fertilizer, pesticide and storage process based on various variables. Algorithm used is SVM for multi-classification
"Excited to share my latest project on LinkedIn: a crop yield prediction ML model deployed with Streamlit! 🌱 Leveraging the power of Stochastic Gradient Descent regression(SGD) algorithm, this tech-driven solution boasts an impressive 94% accuracy on both training and testing data.
The AI-Driven Crop Prediction System that applies Machine Learning and AI to analyze weather, soil, and crop data to predict crop health and yield. This system provides farmers with precise predictions, empowering them to make data-driven decisions and enhance their farming practices.
Build@ARSD - Tech for Good
This Github Repository Contains a machine learning powered crop price prediction application with a firebase connected login and signup
Deployed ML-Backend Server to predict the best crop you should sow in your fields depending on environment conditions.
Revolutionize your farming with Farmwiser, the ultimate TinyML based Smart Agriculture solution!
This project is a crop prediction website that suggests the best crops to plant based on various input features using the K-Nearest Neighbors (KNN) algorithm. The web application is built with Flask.
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