A Comprehensive Analysis of Future Smart Agriculture Ecosystems: Integration of Low-Cost IoT Architecture, Energy-Efficient Sensor Networks (WSNs), Artificial Intelligence (AI), and Supply Chain Traceability Systems
Keywords:
Smart Agriculture, Internet of Things, Wireless Sensor Network, Artificial Intelligence, supply chain traceabilityAbstract
Global population growth and unpredictable climate conditions have massively threatened food security, thus demanding a transition in agricultural management from conventional methods to Smart Agriculture based on the Internet of Things (IoT). Although IoT offers revolutionary potential, its widespread adoption is often hampered by the high cost of implementing commercial devices, inefficient power consumption in Wireless Sensor Networks (WSN), data transmission security vulnerabilities, and the lack of integration of data from the field to the consumer. This study presents a comprehensive analytical overview of the future agricultural IoT ecosystem to address these challenges. At the hardware architecture level, the analysis shows that the implementation of an open-source, cross-domain Monitoring and Control Framework (MCF) has been proven to reduce system implementation costs by up to 20 times compared to existing commercial solutions on the market. Furthermore, at the network layer, WSN performance and efficiency are optimized through an intelligent cluster head selection function that considers residual energy, distance, and Signal to Noise Ratio (SNR). This efficiency approach, when combined with linear congruential generator-based data encryption, has been proven to reduce routing overhead by up to 26% while securing data from cyber threats. At the analytical processing level, there is a shift from centralized cloud processing to real-time edge AI and deep learning directly at the edge of the network device. This integration of Artificial Intelligence (AI) facilitates full automation such as crop yield prediction, plant disease detection, and the autonomous operation of Unmanned Aerial Vehicles (UAVs). Finally, in the downstream sector, the use of smart objects with RFID technology and Electronic Product Code (EPC) facilitates the Traceability system in Agricultural Supply Chain Management (APSCM). This comprehensive integration of low-cost innovation, energy-efficient networks, precise AI analytics, and product traceability will be the main foundation in creating a transparent and sustainable future food security ecosystem.
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