Smart Farm Price Advisor: A Machine Learning Approach to Crop Price Prediction and Farmer Decision Support

Indian farmers, the ones with small farms have a big problem. They do not know how much money they will make from their crops. This is because the prices of crops can change suddenly and the people who buy the crops decide the prices. To help the farmers we made something called the Smart Farm Price Advisor. This is a tool that farmers can use on the internet. It uses computer programs to tell the farmers how much money they can make from their crops in the coming weeks or months. We used a lot of information to make this tool work. We looked at what happened to seven crops in fifteen areas of Tamil Nadu. We thought about things like how rain there was, what time of year it was where the crops were grown and what kind of crops they were. Our computer program is very good at guessing the prices of crops. It is right at 72.93 percent of the time. We used a lot of computer programs to make the Smart Farm Price Advisor work. We used Python and Flask to make predictions about crop prices. Used an Angular 17 to make the interface, which's what the farmers see when they use the tool. We used MySQL to store all the information. The Indian farmers can use the Smart Farm Price Advisor to get a lot of information. They can find out how much money they might make from their crops. They can find out if they will make a profit or a loss. They can even get advice on whether they should sell their crops or wait.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-30
DOI
https://doi.org/10.5281/zenodo.19910177
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Smart Farm Price Advisor: A Machine Learning Approach to Crop Price Prediction and Farmer Decision Support

Ajitha S M, Aakash Raj A, DineshKumarT, Manikandan P
Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Smart Farm Price Advisor: A Machine Learning Approach to Crop Price Prediction and Farmer Decision Support

Ajitha S M, Aakash Raj A, DineshKumarT, Manikandan P
article en

Abstract

Indian farmers, the ones with small farms have a big problem. They do not know how much money they will make from their crops. This is because the prices of crops can change suddenly and the people who buy the crops decide the prices. To help the farmers we made something called the Smart Farm Price Advisor. This is a tool that farmers can use on the internet. It uses computer programs to tell the farmers how much money they can make from their crops in the coming weeks or months. We used a lot of information to make this tool work. We looked at what happened to seven crops in fifteen areas of Tamil Nadu. We thought about things like how rain there was, what time of year it was where the crops were grown and what kind of crops they were. Our computer program is very good at guessing the prices of crops. It is right at 72.93 percent of the time. We used a lot of computer programs to make the Smart Farm Price Advisor work. We used Python and Flask to make predictions about crop prices. Used an Angular 17 to make the interface, which's what the farmers see when they use the tool. We used MySQL to store all the information. The Indian farmers can use the Smart Farm Price Advisor to get a lot of information. They can find out how much money they might make from their crops. They can find out if they will make a profit or a loss. They can even get advice on whether they should sell their crops or wait.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 6%
Smart Agriculture and AI
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