AgroIntelligence: A Farmer Centric ML Solution for Smart Agriculture

International Journal of Emerging Research in Science, Engineering, and Management

Vol. 2, Issue 1, pp. 175–180, January 2026

https://doi.org/10.58482/ijersem.v2i1.24

This work is licensed under a Creative Commons Attribution 4.0 International License .

AgroIntelligence: A Farmer Centric ML Solution for Smart Agriculture

Pathipati Haarika Naidu, Chanumallu Charan Jetty, D. Janani, Mothukuri Mounika, Vuggam Krishna Vamsi, Muktha Nithish

Department of CSE, Siddartha Institute of Science and Technology, Puttur, India.

Abstract

Unpredictable climate patterns and declining soil health have intensified agricultural distress in India, posing serious challenges to food security and farmer livelihoods. This paper introduces AgroIntelligence, a machine-learning– based framework for real-time crop and fertilizer recommendation in precision agriculture. The system employs an optimized Random Forest classifier to model soil– climate relationships and uses K-Nearest Neighbors (KNN) imputation to handle missing soil nutrient data. To improve rural applicability, the framework supports two input modes: a Manual Mode for direct farmer input and an Auto Mode that leverages geolocation to obtain district-level NPK, pH, rainfall, and real-time weather information through API integration. A bilingual AI chatbot is incorporated to enhance accessibility for diverse farmer communities. Experimental evaluation on a custom dataset of 18,240 records from 26 districts of Andhra Pradesh reports a classification accuracy of 98%. The proposed framework supports sustainable precision agriculture by reducing unnecessary crop and fertilizer input usage and enabling data-driven agricultural planning.

Keywords: Smart Agriculture, Crop Recommendation, Fertilizer Recommendation, Weather integration, Local Language Support.

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DOI: https://doi.org/10.58482/ijersem.v2i1.24

Open Access • Peer Reviewed Article

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This article is part of Volume 2, Issue 1 (January 2026)

2026-01-31