Smart Farming Assistant using AI for Weed Detection, Fertilizer Recommendation

A.Malkhede, Vaishali; Ramteke, Dr.P. L.; Jadhao, Dr. Avinash P.; Ingale, Prof. Devendra G.

doi:https://doi.org/10.55041/ijcope.v2i6.384

Volume 02, Issue 6

Published on: June 2026

SMART FARMING ASSISTANT USING AI FOR WEED DETECTION, FERTILIZER RECOMMENDATION

Vaishali A.Malkhede Dr.P. L. Ramteke Dr. Avinash P. Jadhao Prof. Devendra G. Ingale

Prof. Renuka Durge

Computer Science & Engineering , Dr. Rajendra Gode Institute of Technology & Research, Amravati, India

DOI:https://doi.org/10.55041/ijcope.v2i6.384

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Abstract

Agriculture is pivotal to global food security and economic stability, particularly in developing nations like India, where 2.5 billion smallholder farmers confront climate variability, labor shortages, inefficient weed management, and senvironmental harm. Accurate yield forecasting, precise weed control, and optimized fertilizer application enable data-informed decisions on crop selection, irrigation, input management, and risk mitigation, thereby alleviating uncertainty, elevating productivity, and advancing sustainable practices while informing policy. This study presents an integrated Smart Farming Assistant powered by artificial intelligence, encompassing: a convolutional neural network. for real-time weed detection from drone imagery; a random forest classifier for NPK fertilizer recommendations derived from soil, meteorological, and crop data ; an XGBoost regressor—chosen for its robustness in modeling intricate feature interactions across extensive historical and environmental.Deployed on edge IoT platforms, this system curtails herbicide application by 70%, enhances resource efficiency offers scalable utility for resource-limited agricultural contexts.

Keywords: Smart Farming, AI Agriculture, Weed Detection, Fertilizer Recommendation, Yield Prediction, Convolutional Neural Network, XGBoost Regressor, NPK optimization, Edge Computing.

How to Cite this Paper

A.Malkhede, V., Ramteke, P. L., Jadhao, A. P. & Ingale, D. G. (2026). Smart Farming Assistant using AI for Weed Detection, Fertilizer Recommendation. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(6). https://doi.org/10.55041/ijcope.v2i6.384

A.Malkhede, Vaishali, et al.. "Smart Farming Assistant using AI for Weed Detection, Fertilizer Recommendation." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i6.384.

A.Malkhede, Vaishali,P. Ramteke,Avinash Jadhao, and Devendra Ingale. "Smart Farming Assistant using AI for Weed Detection, Fertilizer Recommendation." International Journal of Creative and Open Research in Engineering and Management 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i6.384.

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•Published on: Jun 29 2026

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