Jose Martin Luna-Rivera;Carlos A. Hernández-Morales;Vicente Matus;Jose Rabadan;Julio Rufo;Victor Guerra;Rafael Perez-Jimenez
{"title":"A Novel Hybrid OCC/RF Architecture for IoT-Based Smart Farming","authors":"Jose Martin Luna-Rivera;Carlos A. Hernández-Morales;Vicente Matus;Jose Rabadan;Julio Rufo;Victor Guerra;Rafael Perez-Jimenez","doi":"10.1109/JIOT.2025.3543443","DOIUrl":null,"url":null,"abstract":"The incorporation of Internet of Things (IoT) in agriculture promises to revolutionize farming, enhance productivity, and contribute to sustainable food production. This article introduces a novel IoT framework integrating optical camera communication (OCC) and radio frequency (RF) for advanced farming. OCC emerges as an efficient technology for wireless sensor networks, particularly where low power consumption, cost-effectiveness, and noncritical transmission rates are prioritized. Our innovative design effectively combines the strengths of both OCC and RF, setting the stage for cost-effective IoT solutions in farming. Validated through extensive experiments, this hybrid network demonstrates not only efficiency and flexibility but also its capability for rapid deployment across various conditions. The system uses unidirectional communications, where sensors periodically emit data without the need for polling or network access protocols, reducing the need for complex circuits and lowering power consumption. Remarkably, it achieved robust communication over 90 m with a 94% data recovery rate in diverse conditions, indicating a reliability of over 99.83%, supported by a theoretical BER of <inline-formula> <tex-math>$1.7 \\times 10^{-3}$ </tex-math></inline-formula>. This approach offers agile, affordable monitoring and is farmer-friendly. Notably, the flexibility of the OCC/RF combination addresses diverse farming needs. Our findings highlight the system’s capacity to accurately gather environmental data, enhancing user experience. The subpixel OCC feature supports scalability across large areas like crop fields, meeting dynamic agricultural needs. Overall, the integration of OCC and RF, bolstered by subpixel technology, marks a significant advancement in agricultural IoT applications.","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":"12 12","pages":"20071-20086"},"PeriodicalIF":8.9000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Internet of Things Journal","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10896468/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The incorporation of Internet of Things (IoT) in agriculture promises to revolutionize farming, enhance productivity, and contribute to sustainable food production. This article introduces a novel IoT framework integrating optical camera communication (OCC) and radio frequency (RF) for advanced farming. OCC emerges as an efficient technology for wireless sensor networks, particularly where low power consumption, cost-effectiveness, and noncritical transmission rates are prioritized. Our innovative design effectively combines the strengths of both OCC and RF, setting the stage for cost-effective IoT solutions in farming. Validated through extensive experiments, this hybrid network demonstrates not only efficiency and flexibility but also its capability for rapid deployment across various conditions. The system uses unidirectional communications, where sensors periodically emit data without the need for polling or network access protocols, reducing the need for complex circuits and lowering power consumption. Remarkably, it achieved robust communication over 90 m with a 94% data recovery rate in diverse conditions, indicating a reliability of over 99.83%, supported by a theoretical BER of $1.7 \times 10^{-3}$ . This approach offers agile, affordable monitoring and is farmer-friendly. Notably, the flexibility of the OCC/RF combination addresses diverse farming needs. Our findings highlight the system’s capacity to accurately gather environmental data, enhancing user experience. The subpixel OCC feature supports scalability across large areas like crop fields, meeting dynamic agricultural needs. Overall, the integration of OCC and RF, bolstered by subpixel technology, marks a significant advancement in agricultural IoT applications.
期刊介绍:
The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.