An Autonomous Wireless Device for Real-Time Monitoring of Water Needs

Borrero, Juan D.; Zabalo, Alberto

doi:10.3390/s20072078

Cited by 28 publications

(18 citation statements)

References 29 publications

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“…According to Agriculture 4.0, farmers are assisted by a Decision Support System that guides them in programming the treatments [26], [35]- [38]. They will no longer have to apply water, fertilizers, and pesticides uniformly across entire fields.…”

Section: A What Is Agriculture 40?mentioning

confidence: 99%

The Digital Agricultural Revolution: A Bibliometric Analysis Literature Review

et al. 2021

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The application of digital technologies in agriculture can improve traditional practices to adapt to climate change, reduce Greenhouse Gases (GHG) emissions, and promote a sustainable intensification for food security. Some authors argued that we are experiencing a Digital Agricultural Revolution (DAR) that will boost sustainable farming. This study aims to find evidence of the ongoing DAR process and clarify its roots, what it means, and where it is heading. We investigated the scientific literature with bibliometric analysis tools to produce an objective and reproducible literature review. We retrieved 4995 articles by querying the Web of Science database in the timespan 2012-2019, and we analyzed the obtained dataset to answer three specific research questions: i) what is the spectrum of the DAR-related terminology?; ii) what are the key articles and the most influential journals, institutions, and countries?; iii) what are the main research streams and the emerging topics? By grouping the authors' keywords reported on publications, we identified five main research streams: Climate-Smart Agriculture (CSA), Site-Specific Management (SSM), Remote Sensing (RS), Internet of Things (IoT), and Artificial Intelligence (AI). To provide a broad overview of each of these topics, we analyzed relevant review articles, and we present here the main achievements and the ongoing challenges. Finally, we showed the trending topics of the last three years (2017, 2018, 2019).INDEX TERMS Agriculture 4.0, bibliometrics, climate-smart agriculture, digital agriculture, literature review, precision agriculture.

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Section: A What Is Agriculture 40?mentioning

confidence: 99%

The Digital Agricultural Revolution: A Bibliometric Analysis Literature Review

et al. 2021

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“…Works [12,13] report the use of STM family microcontrollers (STMicroelectronics, Geneva, Switzerland). There are also works that use nodes based on other development boards such as Zolertia Re-Mote (Zolertia S.L., Barcelona, Spain) [14], Moteino (LowPowerLab LLC, Michigan, MI, USA) [15], and Heltec WiFi LoRa 32 (Heltec Automation, Chengdu, China) [16].…”

Section: Related Workmentioning

confidence: 99%

“…Even though power consumption decreased when compared to older systems, it still is considerably high. Note the work of [15], which consumes about 36 µA in sleep mode.…”

Section: Related Workmentioning

confidence: 99%

A Versatile, Low-Power and Low-Cost IoT Device for Field Data Gathering in Precision Agriculture Practices

et al. 2021

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Spatial and temporal variability characterization in Precision Agriculture (PA) practices is often accomplished by proximity data gathering devices, which acquire data from a wide variety of sensors installed within the vicinity of crops. Proximity data acquisition usually depends on a hardware solution to which some sensors can be coupled, managed by a software that may (or may not) store, process and send acquired data to a back-end using some communication protocol. The sheer number of both proprietary and open hardware solutions, together with the diversity and characteristics of available sensors, is enough to deem the task of designing a data acquisition device complex. Factoring in the harsh operational context, the multiple DIY solutions presented by an active online community, available in-field power approaches and the different communication protocols, each proximity monitoring solution can be regarded as singular. Data acquisition devices should be increasingly flexible, not only by supporting a large number of heterogeneous sensors, but also by being able to resort to different communication protocols, depending on both the operational and functional contexts in which they are deployed. Furthermore, these small and unattended devices need to be sufficiently robust and cost-effective to allow greater in-field measurement granularity 365 days/year. This paper presents a low-cost, flexible and robust data acquisition device that can be deployed in different operational contexts, as it also supports three different communication technologies: IEEE 802.15.4/ZigBee, LoRa/LoRaWAN and GRPS. Software and hardware features, suitable for using heat pulse methods to measure sap flow, leaf wetness sensors and others are embedded. Its power consumption is of only 83 μA during sleep mode and the cost of the basic unit was kept below the EUR 100 limit. In-field continuous evaluation over the past three years prove that the proposed solution—SPWAS’21—is not only reliable but also represents a robust and low-cost data acquisition device capable of gathering different parameters of interest in PA practices.

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“…The most common technologies in the area of smart measuring systems and long-distance data transmission include the LoraWAN [45][46][47], Sigfox [48,49] or NB-IoT technologies [34,50]. These technologies are compared in [51], where their benefits and shortcomings are discussed. In particular, the safety of IoT networks is an important and frequently discussed issue.…”

Section: Related Work and Solutionsmentioning

confidence: 99%

An Integrated IoT Architecture for Smart Metering Using Next Generation Sensor for Water Management Based on LoRaWAN Technology: A Pilot Study

Slaný

Lucansky

Koudelka

et al. 2020

Sensors

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This pilot study focuses on the design, implementation, optimization and verification of a novel solution of smart measuring of water consumption and crisis detection leading to a smart water management platform. The system implemented consists of a modular IoT platform based on a PCB (Printed Circuit Board) design using the M2.COM standard, a LoraWAN modem and a LoraWAN gateway based on the Raspberry Pi platform. The prototype is modular, low-cost, low-power, low-complex and it fully reflects the requirements of strategic technological concepts of Smart City and Industry 4.0, i.e., data integration, interoperability, (I)IoT, etc. The study was produced in cooperation with M.I.S Protivanov and VODARENSKA AKCIOVA SPOLECNOST, a.s. (industry partners distributing drinking water in the Olomouc and South-Moravian regions) to depict the current situation in the Czech Republic, characterized by extreme weather fluctuations and increasingly frequent periods of drought. These drinking water distributors are also constantly placing new demands on these smart solutions. These requirements include, above all, reliability of data transmission, modularity and, last but not least, low cost. However, smart water management (water consumption, distribution, system identification, equipment maintenance, etc.) is becoming an important topic worldwide. The functionality of the system was first verified in laboratory conditions and, then, in real operation. The study also includes checking signal propagation in the municipal area of the village of Zdarna, where the radius of the proposed measuring system was tested. A laboratory test with simulation of water leakage is also part of this work. Subsequently, the system was tested in a residential unit by means of water leakage detection using the MNF method (minimum night flow); the detection success rate was 95%.

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An Autonomous Wireless Device for Real-Time Monitoring of Water Needs

Cited by 28 publications

References 29 publications

The Digital Agricultural Revolution: A Bibliometric Analysis Literature Review

The Digital Agricultural Revolution: A Bibliometric Analysis Literature Review

A Versatile, Low-Power and Low-Cost IoT Device for Field Data Gathering in Precision Agriculture Practices

An Integrated IoT Architecture for Smart Metering Using Next Generation Sensor for Water Management Based on LoRaWAN Technology: A Pilot Study

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