Precision Farming integrates advanced technologies to enhance crop production while maintaining environmental sustainability. By leveraging the Internet of Things (IoT), sensors are strategically deployed in fields to monitor agricultural parameters in real time. The integration of Edge Analytics further minimizes latency by enabling faster data processing at the edge, while Edge Intelligence enhances systems with decision-making capabilities. This study compares various computational models and technological approaches within Precision Farming, highlighting their effectiveness in achieving optimized crop growth. The comparative analysis also synthesizes insights from existing literature, offering valuable perspectives for researchers and practitioners in sustainable agriculture. Conclusively, Edge Intelligence and Edge Analytics hold significant potential for advancing precision agriculture, their integration in this domain has received relatively limited research attention.
Parul Saxena (Mon,) studied this question.