Smart Sensing with Edge Computing in Precision Agriculture for Soil Assessment and Heavy Metal Monitoring: A Review

Mohammad Nishat Akhtar, Abdurrahman Javid Shaikh, Ambareen Khan, Habib Awais, Elmi Abu Bakar and Abdul Rahim Othman
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Mohammad Nishat Akhtar: School of Aerospace Engineering, Universiti Sains Malaysia, Nibong Tebal 14300, Malaysia
Abdurrahman Javid Shaikh: Department of Electrical Engineering, NED University of Engineering and Technology, Karachi 75270, Pakistan
Ambareen Khan: School of Aerospace Engineering, Universiti Sains Malaysia, Nibong Tebal 14300, Malaysia
Habib Awais: Department of Textile Engineering, National Textile University, Faisalabad 37610, Pakistan
Elmi Abu Bakar: School of Aerospace Engineering, Universiti Sains Malaysia, Nibong Tebal 14300, Malaysia
Abdul Rahim Othman: Department of Mechanical Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia

Agriculture, 2021, vol. 11, issue 6, 1-37

Abstract: With the implementation of the Internet of Things, the agricultural domain has become data-driven, allowing for well-timed and cost-effective farm management while remaining environmentally sustainable. Thus, the incorporation of Internet of Things in the agricultural domain is the need of the hour for developing countries whose gross domestic product primarily depends on the farming sector. It is worth highlighting that developing nations lack the infrastructure for precision agriculture; therefore, it has become necessary to come up with a methodological paradigm which can accommodate a complete model to connect ground sensors to the compute nodes in a cost-effective way by keeping the data processing limitations and constraints in consideration. In this regard, this review puts forward an overview of the state-of-the-art technologies deployed in precision agriculture for soil assessment and pollutant monitoring with respect to heavy metal in agricultural soil using various sensors. Secondly, this manuscript illustrates the processing of data generated from the sensors. In this regard, an optimized method of data processing derived from cloud computing has been shown, which is called edge computing. In addition to this, a new model of high-performance-based edge computing is also shown for efficient offloading of data with smooth workflow optimization. In a nutshell, this manuscript aims to open a new corridor for the farming sector in developing nations by tackling challenges and providing substantial consideration.

Keywords: food security; precision agriculture; Internet of Things; soil moisture; heavy metal; wireless sensors; edge computing (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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