2000pawan/Crop-Predictions

"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.

Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: 23 days ago - Pushed at: 24 days ago - Stars: 3 - Forks: 1

GeekyCats/Krishi

Android application which includes features like best crop prediction using ML model, live weather, live news Feed and much more. 😀

Language: Java - Size: 890 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 8 - Forks: 0

ravikant-diwakar/AgriSens

Smart Farming Assistant uses advanced technology, including machine learning and CNNs, to provide farmers with crop recommendations, disease identification, weather forecasts, fertilizer recommendation, and crop management guidance through a user-friendly web app.

Language: Jupyter Notebook - Size: 145 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 15 - Forks: 12

albertotonda/optimization-crop-allocation

Multi-objective optimization of large-scale crop allocation

Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

the-pinbo/crop-prediction

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.

Language: Jupyter Notebook - Size: 17.2 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 36 - Forks: 15

SaiJeevanPuchakayala/FarmWiser

Revolutionize your farming with Farmwiser, the ultimate TinyML based Smart Agriculture solution!

Language: Jupyter Notebook - Size: 35.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 6 - Forks: 2

roshanshaji-023/Cropigo

Crop recommendation Web Application using Machine Learning along with fertilizer and cultivation season recommendation made with flask. The Prediction is performed using Random Forest Model

Language: HTML - Size: 8.33 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

UtkarshA135/KisanSeva

An all purpose flutter app for farmers made under Food and Agriculture theme in Accelathon hackathon

Language: Dart - Size: 43.6 MB - Last synced at: 10 months ago - Pushed at: about 3 years ago - Stars: 64 - Forks: 35

vaishnavid0604/agriculture-portal

ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.

Language: PHP - Size: 9.08 MB - Last synced at: 10 months ago - Pushed at: about 2 years ago - Stars: 64 - Forks: 18

RiturajS12/Crop_prediction

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.

Language: Jupyter Notebook - Size: 20.2 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Diivvuu/farmisense-frontend

This contains only frontend code of the project to run this, you'll have to clone the backend repo in your machine and run the backend with the python scripts first, below is the deployed link where you can check the working of the webApp

Language: JavaScript - Size: 2.8 MB - Last synced at: 20 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

amitjaiswar07/Upskill-Campus-UCT-Prediction-of-Agriculture-Crop-Production-in-India

Forecasting crop yields is a crucial element of farming, enabling growers to make well-informed choices regarding their agricultural output. This process entails predicting the quantity of crops expected to be harvested within a specific region, taking into account factors like soil composition, climatic patterns, and agricultural techniques.

Language: Jupyter Notebook - Size: 6.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

COS301-SE-2024/Crop-Prediction-System

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.

Size: 363 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

Dinesh7794/Agriculture-Portal-main

ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.

Language: PHP - Size: 8.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

AyushAgnihotri2025/SmartCrop

SmartCrop: Intelligent Crop Recommendation

Language: Python - Size: 21.6 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 5

AishwaryaM12/ML-Precision-Agriculture-Web-App Fork of emclaniyi/ML-Precision-Agriculture-Web-App

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

Size: 1.06 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 2

maticas-org/maticas-app-v2

App for monitoring crop environmental conditions, allowing the farmer to get insight and take better decisions.

Language: TypeScript - Size: 2.46 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Nandha2536/Agriculture-portal

ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.

Language: PHP - Size: 8.98 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

Harsh19012003/Project-Takshak

Farmer assistant system VCET Hackathon 2k22

Language: CSS - Size: 4.06 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 2

jyoti0225/Crop-Recommendation-System

A mobile application involving machine learning to recommend crop variety and also predict crop yield.

Language: Java - Size: 25.1 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 11 - Forks: 2

Phantom-Studiosad/Intelligent_CropPrediction_System

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.

Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 7

akshatvg/Crop-Data-Management-and-Yield-Prediction-using-Blockchain-and-ML

With this project, we hope to help solve the problems faced during farming and help the farmers, government and consumer by highlighting the advantages of using Machine Learning to predict crop yield and present an alternate supply chain by using block chain and decentralized the entire process.

Language: HTML - Size: 86.6 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1

Bhoomikagp/Crop-Prediction-using-Machine-Learning

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.

Language: Jupyter Notebook - Size: 12.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

GeekyCats/Crop-Predictor

Deployed ML-Backend Server to predict the best crop you should sow in your fields depending on environment conditions.

Language: Python - Size: 96.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

prasanna-muppidwar/agrigenie-Crop-prediction-app Fork of pawanbhayde/agrigenie

This Github Repository Contains a machine learning powered crop price prediction application with a firebase connected login and signup

Language: Dart - Size: 3.17 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

Chandrakant817/Crop-Prediction-using-Machine-Learning

Crop Prediction using Machine Learning (Classification Use Case)

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gauthamkuckian/METADATA-FARMER-ASSISTANCE-WEBAPP-AI-ML Fork of Harsh19012003/Project-Takshak

METADATA-FARMER ASSISTANCE WEBAPP | AI & ML

Size: 298 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

SourajitaDewasi/Crop-Yield-Prediction-in-India-using-ML Fork of ankitaS11/Crop-Yield-Prediction-in-India-using-ML

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 better yield.

Language: Jupyter Notebook - Size: 5.2 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 3

BhabeshMali/Alternate-Crop-Prediction-Using-Artificial-Intelligence-A-Case-Study-in-Assam

Language: Jupyter Notebook - Size: 7.97 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

tusharpangare/Crop-Prediction-Django

Prediction of suitable crop using soil and weather conditions.

Language: HTML - Size: 94.7 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

lakshay2000/CropMantra

Build@ARSD - Tech for Good

Language: Jupyter Notebook - Size: 5.26 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

arghac14/CropYield-prediction

Predicting Crop Yield.

Language: Jupyter Notebook - Size: 921 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 5