A Systematic Review on Edge Computing for Smart Agriculture:: Practical Applications and their Future Directions

Dinuka Mudalige; Chamila Dias

doi:10.56394/aris2.v6i1.87

Authors

Dinuka Mudalige Department of Electrical and Computer Engineering, Faculty of Engineering Technology, The Open University of Sri Lanka
Chamila Dias Centre for Environmental Studies & Sustainable Development, The Open University of Sri Lanka https://orcid.org/0000-0003-2706-0225

DOI:

https://doi.org/10.56394/aris2.v6i1.87

Keywords:

Artificial Intelligence, Edge computing, Internet of Things, Smart sensors, Smart agriculture

Abstract

Edge computing is revolutionizing smart agriculture by enabling real-time data processing closer to the source of information, leading to faster responses and optimized farming practices. Instead of relying solely on centralized cloud computing, edge devices analyze data locally, allowing for quicker decisions on issues such as irrigation, fertilization, and pest control. This leads to increased efficiency, reduced latency, and improved resource management in farming operations. As a result, edge computing transforms smart agriculture into a decentralized, responsive ecosystem where farmers can monitor, adapt, and react to environmental changes and crop health issues very quickly. The integration of edge computing into smart agriculture is rapidly transforming the industry. From this review, we will discuss the essence of edge computing towards sustainable agriculture by explaining how edge-related techniques help to speed the sensor controls and data communication, how edge-powered hardware/firmware boost the information accessibility and how modern developments in edge technology improve overall performance in smart agriculture. This review also covers the key modern developments in sensing and automation, Edge-AI frameworks, on-device computational power, and connectivity innovations that are collectively propelling this agricultural revolution.

References

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