🌱 Crop Yield Prediction using Machine Learning
Implementation of Machine learning baseline for large-scale crop yield forecasting
A tool which is capable of making predictions of cereal and potato yields for districts of the Slovak Republic.
This project aims to design, develop and implement the training model by using different inputs data. The machine will able to learn the features and extract the crop yield from the data by using data mining and data science techniques.
A Mobile and Web application using which farmers can analyze the crops yield in the given set of environmental conditions
🌾 CropCadet is a smart assistant for farmers and agri-enthusiasts, simplifying crop planning, monitoring, and decision-making through 🤖AI-powered insights.
Prediction of crop yields based on climate variables using machine learning algorithms
Machine Learning based Crop Yield Prediction
Explore our tools to make informed agricultural decisions.
Crop Yield Prediction using various ML approaches - Random-Forest Regressor, Gradient-Boosting Regressor, Decision-Tree Regressor, Support-Vector Regressor
This is the source code of ORCHIDEE-CROP model and other related models developed based on ORCHIDEE-CROP model. For installing ORCHIDEE-CROP model, including the calculation environmental setting, please visit: https://forge.ipsl.jussieu.fr/orchidee/wiki/Documentation/UserGuide
Farmer assistant system VCET Hackathon 2k22
Harness the power of machine learning to forecast rice and wheat crop yields per acre in India, aiming to empower smallholder farmers, combat poverty and malnutrition, utilizing data from Digital Green surveys to revolutionize agriculture and promote sustainable practices in the face of climate change for enhanced global food security.
Harvest Sense: AI-Powered Crop Yield and Soil Quality Prediction
Machine learning-based wheat yield estimation in Ukraine using MODIS and ERA5 Land data, with a comparative analysis of six regression models
A web application created to predict the crop yield based on historical data. It can perform basic analysis, along with plotting the crop harvest in various states.
Multiservice app with Crop Yield Prediction built using Django , React and Node.
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