Harvest Hub: AI and ML-Driven Platform for Crop Selection, Price Prediction, and Farmer Assistance

Agriculture plays a crucial role in global food security, yet many farmers, particularly in rural and developing regions, face significant challenges in optimizing their crop selection and market decisions. Unpredictable weather patterns, fluctuating market prices, and limited access to agricultural knowledge hinder their ability to make informed choices, leading to reduced productivity and profitability. Harvest Hub is an AI-driven platform designed to bridge this gap by integrating machine learning models for intelligent crop recommendation, price forecasting, and real-time farmer assistance. The system leverages a Random Forest model to suggest optimal crops based on soil type and seasonal climate. These recommendations are then processed through an LSTM-based price prediction model, which forecasts market trends to identify the most profitable crop options. Additionally, an AI-powered chatbot provides personalized guidance on cultivation techniques, irrigation strategies, soil nutrition, and market insights.By combining data-driven decision-making with accessible agricultural support, Harvest Hub empowers farmers to maximize their yield potential and financial returns. This platform not only enhances productivity but also fosters sustainability by ensuring that crop selection aligns with both environmental conditions and economic viability.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-01
DOI
https://doi.org/10.5281/zenodo.16614091
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Harvest Hub: AI and ML-Driven Platform for Crop Selection, Price Prediction, and Farmer Assistance

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Harvest Hub: AI and ML-Driven Platform for Crop Selection, Price Prediction, and Farmer Assistance

article en

Abstract

Agriculture plays a crucial role in global food security, yet many farmers, particularly in rural and developing regions, face significant challenges in optimizing their crop selection and market decisions. Unpredictable weather patterns, fluctuating market prices, and limited access to agricultural knowledge hinder their ability to make informed choices, leading to reduced productivity and profitability. Harvest Hub is an AI-driven platform designed to bridge this gap by integrating machine learning models for intelligent crop recommendation, price forecasting, and real-time farmer assistance. The system leverages a Random Forest model to suggest optimal crops based on soil type and seasonal climate. These recommendations are then processed through an LSTM-based price prediction model, which forecasts market trends to identify the most profitable crop options. Additionally, an AI-powered chatbot provides personalized guidance on cultivation techniques, irrigation strategies, soil nutrition, and market insights.By combining data-driven decision-making with accessible agricultural support, Harvest Hub empowers farmers to maximize their yield potential and financial returns. This platform not only enhances productivity but also fosters sustainability by ensuring that crop selection aligns with both environmental conditions and economic viability.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 43%
Smart Agriculture and AI
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Harvest Hub: AI and ML-Driven Platform for Crop Selection, Price Prediction, and Farmer Assistance · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS