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Precision Agriculture Techniques and Practices: From Considerations to Applications.

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Internet of Things (IoT) transforms agriculture with smart automation. This study reviews sensor networks for precision agriculture, demonstrating a system for real-time crop health monitoring and analysis.

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Area of Science:

  • Agricultural Science
  • Computer Science
  • Engineering

Background:

  • The agricultural sector is transitioning from manual to automated, smart systems.
  • Precision Agriculture (PA) and Wireless Sensor Networks (WSN) are key drivers of this transformation.
  • PA optimizes crop production and sustainability by using real-time data on soil, crop, and weather conditions.

Purpose of the Study:

  • To review near and remote sensor networks in agriculture.
  • To present a case study of a Wireless Sensor Network-based Precision Agriculture system.
  • To propose an IoT-based solution for smart crop health monitoring.

Main Methods:

  • Review of wireless communication technologies, sensors, and nodes for environmental assessment.
  • Utilizing satellite or air-borne platforms for high-resolution crop imagery.
  • Developing a two-module IoT system: WSN for real-time monitoring and remote sensing for multi-spectral image analysis.

Main Results:

  • Demonstrated a WSN-based PA system for crop health monitoring.
  • Successfully processed multi-spectral imagery to classify healthy and unhealthy crops.
  • Highlighted practical results from a case study implementation.

Conclusions:

  • IoT-based automation and PA, integrating WSN and remote sensing, offer significant potential for enhanced agricultural production.
  • The proposed system effectively monitors crop health in real-time.
  • Identified challenges and future research directions for IoT in agriculture.