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crop-price-prediction

Here are 13 public repositories matching this topic...

ApnaAnaaj aims to solve crop value prediction problem in an efficient way to ensure the guaranteed benefits to the poor farmers. The team decided to use Machine Learning techniques on various data to came out with better solution. This solution uses Decision Tree Regression technique to predict the crop value using the data trained from authenti…

  • Updated Apr 23, 2019
  • HTML

AgroNomics is a machine learning web application that forecasts crop prices using historical agricultural data, seasonal trends, and region-specific variables. Built with Flask and scikit-learn, it provides nationwide coverage with state- and district-level insights, enabling farmers to make accurate, data-driven market decisions.

  • Updated Sep 6, 2026
  • Python

AgroNomics is a machine learning web application that forecasts crop prices using historical agricultural data, seasonal trends, and region-specific variables. Built with Flask and scikit-learn, it provides nationwide coverage with state- and district-level insights, enabling farmers to make accurate, data-driven market decisions.

  • Updated Jul 21, 2026
  • Python

EcoVista: A smart agricultural intelligence platform that predicts crop prices using Machine Learning models (Random Forest, Decision Tree, and Linear Regression), compares mandi prices dynamically across regions, and plans crop diversification to optimize farmers' profit.

  • Updated Jun 30, 2026
  • JavaScript

Kisan DSS is an AI-powered multilingual platform that helps Indian farmers make smarter decisions with real-time market prices, crop and market recommendations, weather-soil insights, voice-enabled chatbot support, and a direct crop selling marketplace.

  • Updated Nov 7, 2025
  • JavaScript

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