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September 10, 2025

An Integrated IoT-Based System for Automated Plant Disease Detection and Management

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Authors

PKPrathibha KNDAD A Adithya

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Overview

This system detects and manages plant diseases in real time for farmers, indicating advanced IoT integration and AI use.

Key Points

  • The system enables early detection of plant diseases, improving decision-making for farmers in real time.
  • Using a convolutional neural network, the tool analyzes images to classify common plant diseases with high accuracy.
  • The technology employs the esp32 microcontroller for sensor data collection, facilitating environmental monitoring.
  • This approach supports precision agriculture by integrating smart communication tools and affordable technology.

Cite This Study

KN et al. (2025) studied this question.

synapsesocial.com/papers/68c18c089b7b07f3a0614a75https://doi.org/10.38124/ijisrt/25aug1232
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1IoT-Integrated robotic system for automated plant disease detection and environmental monitoring2026 · 7 citations
  2. 2Early Identification and Notification of Diseased Crops Using AI Powered Internet of Things Device2025
  3. 3IoT-Based Crop Disease Detection and Management System Using Machine Learning Algorithms2024 · 8 citations
  4. 4Integrating Machine Learning and IoT for Effective Plant Disease Management2025
  5. 5AI-DRIVEN EDGE-TO-CLOUD SYSTEM FOR CROP HEALTH MANAGEMENT2026