Internet of things (IoT) for smart agriculture: Assembling and assessment of a low-cost IoT system for polytunnels.

Autor: Jaliyagoda N; Department of Computer Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri Lanka., Lokuge S; Agricultural Biotechnology Centre, Faculty of Agriculture, University of Peradeniya, Peradeniya, Sri Lanka., Gunathilake PMPC; Department of Statistics & Computer Science, Faculty of Science, University of Peradeniya, Peradeniya, Sri Lanka., Amaratunga KSP; Department of Agricultural Engineering, Faculty of Agriculture, University of Peradeniya, Peradeniya, Sri Lanka., Weerakkody WAP; Department of Crop Science, Faculty of Agriculture, University of Peradeniya, Peradeniya, Sri Lanka., Bandaranayake PCG; Agricultural Biotechnology Centre, Faculty of Agriculture, University of Peradeniya, Peradeniya, Sri Lanka., Bandaranayake AU; Department of Computer Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri Lanka.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2023 May 25; Vol. 18 (5), pp. e0278440. Date of Electronic Publication: 2023 May 25 (Print Publication: 2023).
DOI: 10.1371/journal.pone.0278440
Abstrakt: Internet of things (IoT) applications in smart agricultural systems vary from monitoring climate conditions, automating irrigation systems, greenhouse automation, crop monitoring and management, and crop prediction, up to end-to-end autonomous farm management systems. One of the main challenges to the advancement of IoT systems for the agricultural domain is the lack of training data under operational environmental conditions. Most of the current designs are based on simulations and artificially generated data. Therefore, the essential first step is studying and understanding the finely tuned and highly sensitive mechanism plants have developed to sense, respond, and adapt to changes in their environment, and their behavior under field and controlled systems. Therefore, this study was designed to achieve two specific objectives; to develop low-cost IoT components from basic building blocks, and to study the performance of the developed systems, and generate real-time experimental data, with and without plants. Low-cost IoT devices developed locally were used to convert existing basic polytunnels to semi-controlled and monitoring-only polytunnels. Their performances were analyzed and compared with each other based on several matrices while maintaining the planted tomato variety and agronomic practices similar. The developed system performed as expected suggesting the possibility of commercial applications and research purposes.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2023 Jaliyagoda et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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