International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Crop Recommendation System Using Machine Learning and IoT for Precision Farming

Uday Kumar KoriStudent B.Tech, Department of CSE, Guru Nanak Institute of Technology, Hyderabad, Telangana, IndiaPuligilla NikithaStudent B.Tech, Department of CSE, Guru Nanak Institute of Technology, Hyderabad, Telangana, IndiaPanthula Lakshmi GayathriStudent B.Tech, Department of CSE, Guru Nanak Institute of Technology, Hyderabad, Telangana, IndiaSayali Prabhakar IngaleStudent B.Tech, Department of CSE, Guru Nanak Institute of Technology, Hyderabad, Telangana, IndiaP. AnushaAssistant Professor, Department of CSE, Guru Nanak Institute of Technology, Hyderabad, Telangana, India

Vol 9 No 25 (2025): Volume 9, Special Issue of INSPIRE’25 April 2025 | Pages: 141-145

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 24-04-2025

doi Logo doi.org/10.47001/IRJIET/2025.INSPIRE23

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Abstract

Agriculture is a crucial sector that significantly contributes to the economy of many countries. However, the increasing global population and climate changes have made agricultural productivity more challenging. This paper presents a Crop Recommendation System (CRS) utilizing Machine Learning (ML) and Internet of Things (IoT) technologies to assist farmers in making informed decisions about suitable crops for cultivation. The system uses real-time environmental data, such as soil moisture, temperature, pH levels, and rainfall, to predict the best-suited crops for a given region. Various ML algorithms, including Decision Trees, Random Forest, and Support Vector Machines, are employed to enhance prediction accuracy. IoT-enabled sensors collect real-time data, which is then processed and analyzed to recommend optimal crops. The proposed system aims to improve agricultural yield and sustainability while reducing resource wastage.

Keywords

Crop Recommendation, Machine Learning, IoT, Agriculture, Smart Farming, Precision Farming


Citation of this Article

Uday Kumar Kori, Puligilla Nikitha, Panthula Lakshmi Gayathri, Sayali Prabhakar Ingale, & P. Anusha. (2025). Crop Recommendation System Using Machine Learning and IoT for Precision Farming. In proceeding of International Conference on Sustainable Practices and Innovations in Research and Engineering (INSPIRE'25), published by IRJIET, Volume 9, Special Issue of INSPIRE’25, pp 141-145. Article DOI https://doi.org/10.47001/IRJIET/2025.INSPIRE23

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