Advancements in Sensor-Based Technologies for Precision Agriculture: An Exploration of Interoperability, Analytics and Deployment Strategies

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Abstract

In response to escalating global food demand and growing environmental concerns, the incorporation of advanced sensor technologies in agriculture has become paramount. This paper delves into an in-depth exploration of cutting-edge sensor-based technologies, inclusive of Internet of Things (IoT) applications, machine learning algorithms, and remote sensing, in revolutionizing farming practices for improved productivity, efficiency, and sustainability. The breadth of this exploration encompasses an array of sensors employed in precision agriculture, such as soil, weather, light, humidity, and crop health sensors. Their impact on farming operations and the challenges posed by their implementation are scrutinized. Emphasis is placed on the integral role of IoT-based sensor networks in promoting real-time data acquisition, thereby facilitating efficient decision making. The study examines crucial wireless communication standards like ZigBee, Wi-Fi, Bluetooth, and fifth-generation (5G) and upcoming technologies like NarrowBand Internet of Things (NB-IoT) for sensor data transfer in smart farming. The paper emphasises the necessity of interoperability among various sensor technologies and provides a thorough analysis of data analytics and management techniques appropriate for the substantial data generated by these systems. The robustness of sensor systems, their endurance in difficult environmental settings, and their flexibility in adapting to shifting agricultural contexts are highlighted. The report also explores potential future directions, highlighting the potential of 5G and AI-driven predictive modelling to enhance sensor functions and expedite data processing systems. The challenges encountered in deploying these sensor-based technologies, such as cost, data privacy, system compatibility, and energy management, are discussed in depth with potential solutions and mitigation strategies proposed. This paper, therefore, navigates towards an improved comprehension of the expansive potential of sensor technologies, leading the way to a more sustainable and efficient future for agriculture.

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Shukla, B. K., Maurya, N., & Sharma, M. (2023). Advancements in Sensor-Based Technologies for Precision Agriculture: An Exploration of Interoperability, Analytics and Deployment Strategies. Engineering Proceedings, 58(1). https://doi.org/10.3390/ecsa-10-16051

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