A platform approach to smart farm information processing

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dc.contributor.authorAmiri-Zarandi, Mohammad
dc.contributor.authorHazrati Fard, Mehdi
dc.contributor.authorYousefinaghani, Samira
dc.contributor.authorKaviani, Mitra
dc.contributor.authorDara, Rozita
dc.date.accessioned2022-11-02T21:12:33Z
dc.date.available2022-11-02T21:12:33Z
dc.date.copyright2022en_US
dc.date.issued2022
dc.description.abstractWith 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.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipThis research was funded by a Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery grant and Ontario Ministery of Agriculture and Rural Affairs New Directions grant awarded to Rozita Dara.en_US
dc.identifier.citationAmiri-Zarandi, M., Hazrati Fard, M., Yousefinaghani, S., Kaviani, M., & Dara, R. (2022). “A platform approach to smart farm information processing.” Agriculture, 12(6), 838. https://doi.org/10.3390/agriculture12060838en_US
dc.identifier.urihttps://doi.org/10.3390/agriculture12060838
dc.identifier.urihttp://hdl.handle.net/1828/14383
dc.language.isoenen_US
dc.publisherAgricultureen_US
dc.subjectsmart farming
dc.subjectprecise agriculture
dc.subjectplatform approach
dc.subjectinteroperability
dc.subjectsecurity and privacy
dc.subjectreliability
dc.subjectscalability
dc.subject.departmentDepartment of Computer Science
dc.titleA platform approach to smart farm information processingen_US
dc.typeArticleen_US

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