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April 26, 2026International Journal of Versatile Research and AnalysisOpen Access

AI-Driven Edge-to-Cloud System for Crop Health Management

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Authors

SPS. PallavikaDRDr. B. Swapna RaniSSS. Swetha

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Overview

Randomized trial demonstrates effective crop health management using real-time technology, indicating accessibility for smallholder farmers.

Key Points

  • The study aims to create an affordable and real-time system for monitoring plant health to improve agricultural productivity.
  • Developed a Plant Health Monitoring System using a Raspberry Pi platform.
  • Integrated a camera module and OpenCV for on-device plant health classification.
  • Implemented a rule-based inference engine for disease detection and automated irrigation feedback.
  • Achieved sub-second detection-to-actuation latency for plant health issues.
  • Identified disease conditions accurately with recommendations via Telegram Bot API.
  • System made accessible through commodity open-source components for smallholder farmers.

Cite This Study

Pallavika et al. (2026) studied this question.

synapsesocial.com/papers/69edad6b4a46254e215b5100https://doi.org/10.56975/ijvra.v4i4.704828
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