Radio Wave Attenuation Measurement System Based on RSSI for Precision Agriculture: Application to Tomato Greenhouses

Cama-Pinto, Dora; Holgado-Terriza, Juan A.; Damas, Miguel; Gómez-Mula, Francisco; Cama-Pinto, Alejandro

doi:10.3390/inventions6040066

Cited by 12 publications

(4 citation statements)

References 47 publications

(50 reference statements)

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“…It is designed to work in the range of 0.3–3.6 V, powered by two 1.5 V AA standard batteries (Zolertia, 2010). Agricultural use of Zolertia has previously been reported in greenhouse‐based tomato farming, where the attenuation of radio waves in the 2.4 GHz freeband was measured using a received signal strength indicator (Cama‐Pinto et al., 2021). Zolertia Z1 Mote has also been used in determining agro‐climatic variables like temperature and soil moisture in cassava ( Manihot spp.)…”

Section: Components Of the Iotmentioning

confidence: 99%

Internet of Things (IoT) in digital agriculture: An overview

et al. 2023

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Climate change, land degradation, and limited land and water resources have challenged our ability to meet the food demand of a rapidly growing population. To tackle this challenge, modern agricultural systems are relying on new technologies like the Internet of Things (IoT) to improve agricultural productivity and resource use efficiency. Although IoT has gained considerable attention in the last few years, the key concepts of IoT and their applicability across different domains of agriculture are still new to many researchers, practitioners, managers, and policymakers. In this paper, we provide a comprehensive review of the use of different IoT platforms, wireless sensor networks, and other associated technologies like remote sensing, cloud computing, and big data analytics in digital agriculture. The review also explores the use of communication technologies, microcontrollers, and machine learning in smart irrigation and decision support systems. The necessity of interoperability (data transfer and communication without human interference) among devices is discussed in detail with regard to facilitating and exchanging agricultural data more effectively. The discussion also includes opportunities and challenges in standardizing IoT; developing energy‐efficient and affordable technologies; and improving data collection, transfer, storage, processing, security, anonymity, and privacy. This paper further calls for collaborative research in sensor and communication technologies in the agricultural sector.

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Section: Components Of the Iotmentioning

confidence: 99%

Internet of Things (IoT) in digital agriculture: An overview

et al. 2023

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“…In addition to the Zigbee module, you can also use the SL900A module in the UHF band [33]. The measurement of wave attenuation for the 2.4 GHz frequency band that penetrated the greenhouse was also measured to determine the effect of the waves on plants [34]. The data loss rate between data acquisition units in WSN was also measured, where data loss at the gateway was 1.52%, between gateways and server was 0.4% [35].…”

Section: A Search String Reviewmentioning

confidence: 99%

A Systematic Literature Review: Internet of Things on Smart Greenhouse

Setyawan¹,

Warsito²,

Marjunus³

et al. 2022

IJACSA

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Increasing food needs and climate instability require researchers to innovate agriculture using smart greenhouses that are integrated with the Internet of Things (IoT). The Systematic Literature Review (SLR) begins with determining the topic keywords followed by searching the publisher link. It obtains 301 publications to be reviewed, 58 of which address the research questions posed. This study aims to collect and analyze in depth various knowledge about the Internet of Things Smart Greenhouse regarding sensors, methods used and publishers who publish the most related topics and the possibility of a research gap. The findings are as many as 12 publications that use temperature and humidity sensors and use the research and development methods integrated with Artificial intelligence methods, of which 62.1% do not use the datasets and 37.9% use the datasets. It obtains two possibilities of a research gap, namely improvising the algorithm and the dataset used and placing full control on the microcontroller development board and making IoT a supporting tool.

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“…Table 4 summarizes the keywords of the published manuscripts. The most frequent keywords were: IoT [2,7,8] and low-cost [2,6], see Table 4. Author Contributions: The authors all made equal contributions to this article.…”

Section: Topics and Abstractmentioning

confidence: 99%