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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

AGROVERSE: BRIDGING TECHNOLOGY AND AGRICULTURE USING ARTIFICIAL INTELLIGENCE

Deekshith Pedamalla

DOI:https://doi.org/10.55041/ijcope.v2i5.048

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Plagiarism Passed Peer Reviewed Open Access

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Abstract

Food security and agricultural productivity remain two of the pressing concerns in a world with a rapidly growing population. Despite the availability of modern tools, a large section of the farming community still operates on conventional, experience-based methods without access to analytical insights. The growing body of work in machine learning and AI presents a genuine opportunity to change this. In this paper, we present AgroVerse, a multi-module smart farming platform built to assist farmers with day-to-day decisions through data-driven recommendations. The system brings together four core ML capabilities: a CNN-based model that analyses crop leaf images to catch diseases early, a Random Forest classifier that maps soil and weather inputs to suitable crop choices, a Linear Regression module that estimates soil productivity, and a Naive Bayes predictor that tracks agricultural commodity price trends. Taken together, these modules make AgroVerse a practical tool that smallholder and large-scale farmers alike can use to optimize yields, manage resources better, and respond to market fluctuations.

 Keywords—Smart Farming, Precision Agriculture, Machine Learning, Convolutional Neural Network (CNN), Random Forest, Crop Yield Prediction, Plant Disease Detection, Naive Bayes, Linear Regression.

 

How to Cite this Paper

Pedamalla, D. (2026). AgroVerse: Bridging Technology and Agriculture Using Artificial Intelligence. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.048

Pedamalla, Deekshith. "AgroVerse: Bridging Technology and Agriculture Using Artificial Intelligence." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.048.

Pedamalla, Deekshith. "AgroVerse: Bridging Technology and Agriculture Using Artificial Intelligence." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.048.

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References


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  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: May 04 2026
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