A Platform Approach to Smart Farm Information Processing

Mohammad Amiri-Zarandi, Mehdi Hazrati Fard, Samira Yousefinaghani, Mitra Kaviani and Rozita Dara
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Mohammad Amiri-Zarandi: School of Computer Science, University of Guelph, Guelph, ON N1G 2W1, Canada
Mehdi Hazrati Fard: Department of Computer Science, University of Victoria, Victoria, BC V8W 2Y2, Canada
Samira Yousefinaghani: School of Computer Science, University of Guelph, Guelph, ON N1G 2W1, Canada
Mitra Kaviani: School of Computer Science, University of Guelph, Guelph, ON N1G 2W1, Canada
Rozita Dara: School of Computer Science, University of Guelph, Guelph, ON N1G 2W1, Canada

Agriculture, 2022, vol. 12, issue 6, 1-18

Abstract: With the rapid growth of population and the increasing demand for food worldwide, improving productivity in farming procedures is essential. Smart farming is a concept that emphasizes the use of modern technologies such as the Internet of Things (IoT) and artificial intelligence (AI) to enhance productivity in farming practices. In a smart farming scenario, large amounts of data are collected from diverse sources such as wireless sensor networks, network-connected weather stations, monitoring cameras, and smartphones. These data are valuable resources to be used in data-driven services and decision support systems (DSS) in farming applications. However, one of the major challenges with these large amounts of agriculture data is their immense diversity in terms of format and meaning. Moreover, the different services and technologies in a smart farming ecosystem have limited capability to work together due to the lack of standardized practices for data and system integration. These issues create a significant challenge in cooperative service provision, data and technology integration, and data-sharing practices. To address these issues, in this paper, we propose the platform approach, a design approach intended to guide building effective, reliable, and robust smart farming systems. The proposed platform approach considers six requirements for seamless integration, processing, and use of farm data. These requirements in a smart farming platform include interoperability, reliability, scalability, real-time data processing, end-to-end security and privacy, and standardized regulations and policies. A smart farming platform that considers these requirements leads to increased productivity, profitability, and performance of connected smart farms. In this paper, we aim at introducing the platform approach concept for smart farming and reviewing the requirements for this approach.

Keywords: smart farming; precise agriculture; platform approach; interoperability; security and privacy; reliability; scalability (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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