Precision Agriculture Techniques and Practices: From Considerations to Applications

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.