Title: A systematic mapping study on IoT-based software systems for precision agriculture

Authors: Vinícius C. Lopes; Cleiton Silva; Dayana Gonçalves; Roberto Oliveira; Renato Bulcão-Neto; Mohamad Kassab; Valdemar V. Graciano-Neto

Addresses: Computer Science and Engineering Department, University of Notre Dame, Notre Dame, Indiana, USA ' Goiás State University, Posse, Anápolis, Goiás, Brazil ' Goiás State University, Posse, Anápolis, Goiás, Brazil ' Goiás State University, Posse, Anápolis, Goiás, Brazil ' Federal University of Goiás, Goiânia, Goiás, Brazil ' Pennn State University, University Park, Pennsylvania, USA ' Federal University of Goiás, Goiania, Goiás, Brazil

Abstract: Agriculture is often pressured to adopt new technologies so that production rate can be accordingly increased. The Internet of Things (IoT) has played an essential role in modernising the agricultural practices once it can support monitoring and automated decisions on planting. Given the ascending adoption of IoT in agriculture, the main goal of this study is reporting collected evidence from the literature and summarise how IoT systems have been used to support several activities in the agriculture domain. We adopted the Systematic Mapping Study (SMS) procedure. We designed a search string executed in two Web search engines: Scopus and Embrapa repositories. We selected a total of 35 primary studies that either propose or evaluate IoT-based systems in the agriculture domain. Results suggest that, although there are different platform solutions such as web-based systems, web-and-mobile-based systems and mobile systems targeting activities such as planting monitoring and irrigation, there are still several opportunities in the area, such as (i) the conception of automated decision-making processes and supporting technologies for agriculture recurrent activities, (ii) adoption of edge computing and machine learning for information processing and automation, respectively and (iii) proposition of solutions towards reducing production costs and ecological impacts.

Keywords: software system; internet of things; precision agriculture; 4.0 agriculture; smart agriculture; mapping study.

DOI: 10.1504/IJCAT.2022.130877

International Journal of Computer Applications in Technology, 2022 Vol.70 No.3/4, pp.155 - 170

Received: 13 Sep 2021
Received in revised form: 24 Mar 2022
Accepted: 08 Apr 2022

Published online: 13 May 2023 *

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