Crop Recommendation System using Supervised Learning Techniques

Agriculture plays a pivotal role in the economic development of a country. Different agro-climatic conditions are suitable for different crops. Farmers face a lot of difficulty in deciding which crop to grow. Advancing technology can be very fruitful in deciding which crops to grow for maximum produ...

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Bibliographic Details
Published in2024 International Conference on Emerging Systems and Intelligent Computing (ESIC) pp. 319 - 323
Main Authors Disha, M, Dash, Satya Ranjan, Mohapatra, Debasish, Jena, Damodar, Barra, Paola
Format Conference Proceeding
LanguageEnglish
Published IEEE 09.02.2024
Subjects
Biological system modeling
Computational modeling
crop
Crops
Decision tree
Forestry
logistic regression
Machine learning
Production
random forest
Supervised learning
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Summary:Agriculture plays a pivotal role in the economic development of a country. Different agro-climatic conditions are suitable for different crops. Farmers face a lot of difficulty in deciding which crop to grow. Advancing technology can be very fruitful in deciding which crops to grow for maximum production and return on investment. Multiple research studies have been performed to develop a system that would recommend crops based on the conditions available. In this paper, three different machine learning models have been used to develop a crop recommendation system based on the different parameters. The three models are compared to find the best solution.
DOI:10.1109/ESIC60604.2024.10481591