-
Updated
Nov 18, 2022 - Jupyter Notebook
crop-prediction
Here are 31 public repositories matching this topic...
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
-
Updated
Jun 12, 2024 - JavaScript
-
Updated
Jun 8, 2022 - Jupyter Notebook
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
-
Updated
Jun 19, 2023 - HTML
App for monitoring crop environmental conditions, allowing the farmer to get insight and take better decisions.
-
Updated
Apr 6, 2024 - TypeScript
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.
-
Updated
Jun 6, 2024 - Jupyter Notebook
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
-
Updated
Jul 4, 2024 - PHP
Crop Prediction using Machine Learning (Classification Use Case)
-
Updated
Mar 9, 2023 - Jupyter Notebook
METADATA-FARMER ASSISTANCE WEBAPP | AI & ML
-
Updated
Oct 7, 2022 - HTML
-
Updated
Feb 12, 2023 - Jupyter Notebook
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.
-
Updated
Apr 10, 2021 - HTML
"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.
-
Updated
Jul 11, 2024 - Jupyter Notebook
Farmer assistant system VCET Hackathon 2k22
-
Updated
Mar 5, 2024 - CSS
Prediction of suitable crop using soil and weather conditions.
-
Updated
May 26, 2022 - HTML
Deployed ML-Backend Server to predict the best crop you should sow in your fields depending on environment conditions.
-
Updated
Apr 17, 2024 - Python
Build@ARSD - Tech for Good
-
Updated
Mar 8, 2022 - Jupyter Notebook
This Github Repository Contains a machine learning powered crop price prediction application with a firebase connected login and signup
-
Updated
Jul 2, 2023 - Dart
Revolutionize your farming with Farmwiser, the ultimate TinyML based Smart Agriculture solution!
-
Updated
Aug 10, 2023 - Jupyter Notebook
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
-
Updated
Jan 14, 2020 - HTML
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.
-
Updated
Jun 24, 2024 - JavaScript
Improve this page
Add a description, image, and links to the crop-prediction topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the crop-prediction topic, visit your repo's landing page and select "manage topics."