MEMS Devices in Agriculture

Valente, António

doi:10.1007/978-3-319-32180-6_17

Cited by 6 publications

(4 citation statements)

References 56 publications

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“…Although many features of these technologies have been described in the literature and summarized in the present work, numerous others have to be investigated further. MEMS based devices have a wide variety of applications from the electronic industry [2] to environmental [151] and biomedical fields [1]. Development of commercialized BioMEMS including LOC for POC devices and microfluidic biochips continue to increase consistently.…”

Section: Discussion and Future Perspectivesmentioning

confidence: 99%

Evolution of Biochip Technology: A Review from Lab-on-a-Chip to Organ-on-a-Chip

et al. 2020

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Following the advancements in microfluidics and lab-on-a-chip (LOC) technologies, a novel biomedical application for microfluidic based devices has emerged in recent years and microengineered cell culture platforms have been created. These micro-devices, known as organ-on-a-chip (OOC) platforms mimic the in vivo like microenvironment of living organs and offer more physiologically relevant in vitro models of human organs. Consequently, the concept of OOC has gained great attention from researchers in the field worldwide to offer powerful tools for biomedical researches including disease modeling, drug development, etc. This review highlights the background of biochip development. Herein, we focus on applications of LOC devices as a versatile tool for POC applications. We also review current progress in OOC platforms towards body-on-a-chip, and we provide concluding remarks and future perspectives for OOC platforms for POC applications.

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Section: Discussion and Future Perspectivesmentioning

confidence: 99%

Evolution of Biochip Technology: A Review from Lab-on-a-Chip to Organ-on-a-Chip

et al. 2020

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“…Agriculture deals with several factors and their interconnection that condition productivity: environment, soil and plant. Precision agriculture, or Smart Farming, that is composed of a set of technologies that combines sensors (not only for the environment, but also for the soil and the plant) [17], information systems, improved machinery (including robots [18]) and informed management to optimize production, accounting for the variability and uncertainties in agricultural systems [19].…”

Section: Related Workmentioning

confidence: 99%

Low-Cost LoRaWAN Node for Agro-Intelligence IoT

et al. 2020

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Intelligent agriculture in general, but especially when agricultural fields are very heterogeneous, requires a large number of sensors in order to obtain an effective control and thus increase productivity. This need becomes more evident in vineyards on the farms of the demarcated Douro region due to the specificities of the territory and the vineyards themselves. Thus, it is necessary to have low cost sensors which are, essentially, easy to install and maintain. In the present work, a node with these characteristics was developed, which, in addition, is low consumption and communicates wirelessly through a Long Rang Wide Area Network (LoRaWAN) network. To obtain an easy installation, a library of clusters was created for the LoRaWAN network and dedicated to sensors used in agriculture, especially those using an asynchronous serial protocol for intelligent sensors. Three nodes were developed and tested with sensors used in agriculture to measure several environmental parameters (soil and air temperature; wind speed, gust and direction; soil water content, water tension and electrical conductivity; solar radiation; precipitation; atmospheric and vapor pressure; relative humidity; and lightning strikes count). The three nodes send data to a server through an existing gateway on the farm. The data are decoded and sent to an Internet-of-Things analytics platform where it is aggregated, viewed and analyzed. Samples of the data collected are presented. The developed nodes are of small dimensions ( 85 × 65 × 35 m m ), thus making them easy to handle and install. Energy consumption depends on the distance to the gateway, and the number and type of sensors connected to each node. In the implemented cases, the maximum consumption was ≈ 400 μ A . The development of a cluster based library makes the node plug-and-play. The developed nodes will be a great step forward for the use of wireless sensors in smart agriculture in Douro vineyards.

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“…This new technology provides a miniaturization trend apart from the bulky conventional mechanical sensors that led to a possible mass production and made the electrical/electronic devices become more compatible. Small and conveniently installable sensors are easy to distribute to farms . The information collected from these trials would create a new way for research toward industries pertaining to agriculture such as the smart-farm system integrated with information and communications technology (ICT) .…”

Section: Introductionmentioning

confidence: 99%

“…Small and conveniently installable sensors are easy to distribute to farms. 12 The information collected from these trials would create a new way for research toward industries pertaining to agriculture such as the smart-farm system integrated with information and communications technology (ICT). 13 Miniaturization also opened up an exclusive new horizon for sensor development that could be used for environmental monitoring and also for in vivo sensing.…”

Section: Introductionmentioning

confidence: 99%

Continuous and Real-Time Measurement of Plant Water Potential Using an AAO-Based Capacitive Humidity Sensor for Irrigation Control

Han

Kim

Lee

et al. 2022

ACS Appl. Electron. Mater.

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Water potential measurement is an essential factor in determining water consumption management and recycling in the agricultural field. We report the development of a continuous water potential measurement system using sensors for water stress analysis in tomato plants with better irrigation plan feedback. The water potential sensor uses the capacitive sensing principle which measures humidity inside an anodic aluminum oxide (AAO) layer. An analog to digital converter with a wireless communication module system records the capacitance data of the sensing system. Calibration data of sensors derived from superabsorbent polymer (SP) and deionized water (DIW) mixtures can represent their water potential value. The method showed good matching of capacitance and water potential values above −7 MPa, matching the result obtained in tomato stem. The measurements were conducted for a few days with the sap flow and water potential sensors connected in series on a tomato stem. When sunlight is sufficient, sap flow increases; meanwhile, water potential decreases. The opposite phenomenon could be observed during the nighttime. With irrigation restricting conditions, both sap flow and water potential signal decrease, triggering the emergency watering signals. This continuous water potential sensing system can quantitatively monitor the plant stem's water stress and set irrigation schedules to achieve high-quality products in the agricultural field.

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MEMS Devices in Agriculture

Cited by 6 publications

References 56 publications

Evolution of Biochip Technology: A Review from Lab-on-a-Chip to Organ-on-a-Chip

Evolution of Biochip Technology: A Review from Lab-on-a-Chip to Organ-on-a-Chip

Low-Cost LoRaWAN Node for Agro-Intelligence IoT

Continuous and Real-Time Measurement of Plant Water Potential Using an AAO-Based Capacitive Humidity Sensor for Irrigation Control

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