Agricultural crop recommender system based on climatic conditions

Agricultural crop recommender system based on climatic conditions

This study presents the development of an agricultural crop recommender system based on climatic conditions usingmachine learning. The system utilizes weather data and other environmental factors to provide recommendations for crops that are most suitable for a given region. To train the ML model, a...

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Hauptverfasser: Rakesh, Kommineni, Chaitanya, Tummala, Kumar, K. Pradeep Mohan
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Sprache:eng
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Crop yield
Meteorological data
Recommender systems
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creator Rakesh, Kommineni
Chaitanya, Tummala
Kumar, K. Pradeep Mohan
description This study presents the development of an agricultural crop recommender system based on climatic conditions usingmachine learning. The system utilizes weather data and other environmental factors to provide recommendations for crops that are most suitable for a given region. To train the ML model, a dataset of previous crop yields and climate data was gatheredand examined. The model was assessed using a number of measures, including precision and accuracy. The results show that the system can accurately predict suitable crops for a given location, making it a valuable tool for farmers and agricultural experts. The system has the potential to improve crop yields and mitigate the impact of climate change on agriculture.
doi_str_mv 10.1063/5.0217584
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identifier ISSN: 0094-243X
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1551-7616
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subjects Crop yield
Meteorological data
Recommender systems
title Agricultural crop recommender system based on climatic conditions
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