Saxena (2026) SmartAgroCare: An IoT & ML-Based Crop Health Monitoring System

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Journal of Advanced Research in Medical Science & Technology
• Year: 2026
• Date: 2026-01-06
• Authors: Shilpi Saxena
• DOI: 10.24321/2394.6539.202507

Research Groups

Not explicitly mentioned in the provided text.

Short Summary

This paper proposes an AI/ML/IoT-integrated Crop Monitoring System for real-time observation, analysis, and prediction of crop and soil conditions, demonstrating accurate, efficient, and scalable performance suitable for diverse agricultural environments.

Objective

• To propose and evaluate a Crop Monitoring System that integrates Artificial Intelligence, Machine Learning, and the Internet of Things for real-time observation, analysis, and prediction of crop and soil conditions.

Study Configuration

• Spatial Scale: Field-level (sensors deployed across the field).
• Temporal Scale: Real-time and continuous monitoring.

Methodology and Data

• Models used: Artificial Intelligence (AI), Machine Learning (ML) algorithms.
• Data sources: IoT-based sensors (temperature, humidity, soil moisture, pH level, light intensity), image-based analysis.

Main Results

• The proposed system provides accurate, efficient, and scalable monitoring suitable for diverse agricultural environments.
• It enables optimisation of water usage.
• It contributes to reducing pesticide dependency.
• It improves overall crop productivity.
• The AI component enhances decision-making by detecting crop diseases, predicting yield, and identifying irrigation or nutrient requirements.

Contributions

• Proposes an intelligent and integrated system combining AI, ML, and IoT for comprehensive real-time crop and soil monitoring.
• Offers a scalable solution for digital agriculture, enhancing decision-making for farmers through data visualisation and alerts.
• Demonstrates potential for optimising resource use (water, pesticides) and improving crop productivity.

Funding

Not explicitly mentioned in the provided text.

Citation

@article{Saxena2026SmartAgroCare,
  author = {Saxena, Shilpi},
  title = {SmartAgroCare: An IoT & ML-Based Crop Health Monitoring System},
  journal = {Journal of Advanced Research in Medical Science & Technology},
  year = {2026},
  doi = {10.24321/2394.6539.202507},
  url = {https://doi.org/10.24321/2394.6539.202507}
}