{"title":"IoT-Based Agricultural Compost Monitoring System: Prototype Development and Sensor Technology Evaluation","authors":"Igor Tomicic","doi":"10.1080/1065657x.2023.2273845","DOIUrl":null,"url":null,"abstract":"AbstractSmart agriculture refers to the application of advanced technologies in the field of agriculture, such as the Internet of Things, big data, edge/cloud computing, among others. These technologies facilitate the monitoring, tracking, recording, visualization, automation, and analysis of various agricultural operations. One critical process in this domain is composting, an organic waste disposal method that enriches soil with nutrients and encourages sustainable farming practices. However, it requires constant monitoring to ensure high-quality compost production at an optimal rate, without the development of harmful toxins. In this context, we propose a novel IoT-based agricultural compost monitoring system. The system is composed of an IoT sensor probe, edge/cloud platforms, and integrated solutions for networking, monitoring, logging, reporting, and visualization. This paper provides a comprehensive physical implementation of the probe, including detailed prototype components, testing of pertinent sensor technologies, and analysis of experiments conducted on a compost site using several probe variants. The main contributions of this paper are twofold: (1) the development of a novel IoT system prototype for efficient compost monitoring, and (2) the identification of the optimal sensor technology for measuring compost temperature. Our findings indicate that infrared sensing technology delivers the fastest and most accurate readings. AcknowledgmentsThis work has been supported in full by the Croatian Science Foundation under the project number 3877.Disclosure StatementNo potential conflict of interest was reported by the author(s).Notes1 https://github.com/tomicic/IoTAdditional informationFundingHrvatska Zaklada za Znanost, grant ID: 3877.","PeriodicalId":10714,"journal":{"name":"Compost Science & Utilization","volume":"177 3","pages":"0"},"PeriodicalIF":2.0000,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Compost Science & Utilization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/1065657x.2023.2273845","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
AbstractSmart agriculture refers to the application of advanced technologies in the field of agriculture, such as the Internet of Things, big data, edge/cloud computing, among others. These technologies facilitate the monitoring, tracking, recording, visualization, automation, and analysis of various agricultural operations. One critical process in this domain is composting, an organic waste disposal method that enriches soil with nutrients and encourages sustainable farming practices. However, it requires constant monitoring to ensure high-quality compost production at an optimal rate, without the development of harmful toxins. In this context, we propose a novel IoT-based agricultural compost monitoring system. The system is composed of an IoT sensor probe, edge/cloud platforms, and integrated solutions for networking, monitoring, logging, reporting, and visualization. This paper provides a comprehensive physical implementation of the probe, including detailed prototype components, testing of pertinent sensor technologies, and analysis of experiments conducted on a compost site using several probe variants. The main contributions of this paper are twofold: (1) the development of a novel IoT system prototype for efficient compost monitoring, and (2) the identification of the optimal sensor technology for measuring compost temperature. Our findings indicate that infrared sensing technology delivers the fastest and most accurate readings. AcknowledgmentsThis work has been supported in full by the Croatian Science Foundation under the project number 3877.Disclosure StatementNo potential conflict of interest was reported by the author(s).Notes1 https://github.com/tomicic/IoTAdditional informationFundingHrvatska Zaklada za Znanost, grant ID: 3877.
期刊介绍:
4 issues per year
Compost Science & Utilization is currently abstracted/indexed in: CABI Agriculture & Environment Abstracts, CSA Biotechnology and Environmental Engineering Abstracts, EBSCOhost Abstracts, Elsevier Compendex and GEOBASE Abstracts, PubMed, ProQuest Science Abstracts, and Thomson Reuters Biological Abstracts and Science Citation Index