Automation of irrigation by electronic tensiometry based on the arduino hardware platform

Pereira, R. M. Faisca Rodrigues; Sandri, Delvio; Rios, Gervásio Fernando Alves; Sousa, Daniel Ataydes de Oliveira

doi:10.4136/ambi-agua.2567

Cited by 5 publications

(6 citation statements)

References 16 publications

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“…The sensors showed similar tension values during the experimental test, but small fluctuations were observed, as predicted in other studies on pressure sensor calibration (Pereira et al, 2020). Fluctuation errors occur due to ambient temperature variation, causing expansion or contraction of the air present inside the tensiometer (Brito et al, 2014).…”

Section: Resultssupporting

confidence: 84%

“…Studies using mechanical and or electronic/automated tensiometers to determine soil moisture (Thalheimer, 2013;Arruda et al, 2017;Abd El-Baset et al, 2018;Goodchild et al, 2018;Li et al, 2020;Pereira et al, 2020) have shown a reduction in labor and volume of applied water, increasing the system efficiency. Furthermore, although automated tensiometers can be simple to use and low cost for farmers, most commercial irrigation controllers connected by soil sensors are programmable with only fixed times.…”

Section: Introductionmentioning

confidence: 99%

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Low-cost and high-efficiency automated tensiometer for real-time irrigation monitoring

Sanches

Alves

Jesus

et al. 2022

Rev. bras. eng. agríc. ambient.

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Knowing the soil moisture available to plants is important for adequate management of water use in agricultural farms, with automated methods being the most accurate. However, acquisition costs are high and most of the commercially available irrigation controllers still work using pre-set times. This study aimed to develop and calibrate a low-cost automated tensiometer with high efficiency in irrigation control, based on real-time monitoring. The research was conducted at the Laboratories of Hydraulics and of Water Soil Plant and Atmosphere Relationship, which belong to the Federal University of Grande Dourados (UFGD), in Dourados, MS, Brazil, with soil classified as an Oxisol. Pressure transducers and a microcontroller were used to assimilate the pressure inside tensiometers and transform it into readings of soil water matric potential (Ψm). Thus, the calibration was carried out by comparing the different readings of the transducer and digital tension meter. Different tensions were applied to obtain a soil moisture curve, starting from the most humid point (saturated) to the driest one (oven-dried soil), collecting 20 valid points. Subsequently, the data were subjected to the normality test, with subsequent statistical analysis and regression curve models. Linear adjustments with a high coefficient of determination (R2 = 0.99) were observed, with the automated system built in this study being capable of monitoring soil water tension in real-time.

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Section: Resultssupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Low-cost and high-efficiency automated tensiometer for real-time irrigation monitoring

Sanches

Alves

Jesus

et al. 2022

Rev. bras. eng. agríc. ambient.

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“…e host computer analyzes and processes the data, and interacts with the input module and PLC through the Internet of ings to read the type data of the brewing process. At the same time, the Arduino platform [20] is used to control the servo motor, so as to drive the liquor tube to achieve automatic grading of Baijiu. e input module includes liquid turbine flow sensor, L-Dens2300 online density sensor, etc.…”

Section: Grading Devices Based On Industrial Internet Of Ings (Iiot) ...mentioning

confidence: 99%

Automatic Grading Technology and Application of Baijiu Based on Segmented Characteristics and IIoT

Sun

Yang

et al. 2022

Mobile Information Systems

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In order to explore the segmented relationship between the segmented rating results of Baijiu and the segmented characteristics of alcohol content and cumulative flow in the distillation process and to verify whether different liquor categories can achieve rating through the segmented characteristics of alcohol content and cumulative flow, in view of this, combined with the Industrial Internet of Things (IIoT) technology and online detection and analysis of alcohol and cumulative traffic, its accuracy can reach ±0.5%, ±1%, with the integration of Baijiu categories, sources, liquor characteristic conditions, and other multisource data, to achieve Baijiu segmented rating data reconstruction, the use of standard error and standard deviation as evaluation indicators, quantification of distilled liquor alcohol, and cumulative flow segmented characteristics to form a liquor rating strategy, so as to use the Arduino platform control motor to achieve automatic grading of Baijiu. Experiments show that the relative error between automatic rating and manual rating is less than 10%, which shows that automatic rating can be better applied to the actual brewing process. It provides a solution for the digitization and standardization of Baijiu grading.

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“…The main objective was to reduce the costs and complexity of the prototype to facilitate rebuilding by potential users, thus data retrieval was done using the memory of the MCU board and collected by a mobile pc in situ every two weeks. Pereira et al [ 28 ] built on the same concept using Arduino Mega MCU, pressure transducers, real-time clock, and an SD card module. The prototype was capable of measuring and recording the tension readings as a .txt file on the SD card coupled with a time stamp.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things (IoT) for Soil Moisture Tensiometer Automation

et al. 2023

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Monitoring of water retention behavior in soils is an essential process to schedule irrigation. To this end, soil moisture tensiometers usually equipped with mechanical manometers provide an easy and cost-effective monitoring of tension in unsaturated soils. Yet, periodic manual monitoring of many devices is a tedious task hindering the full exploitation of soil moisture tensiometers. This research develops and lab validates a low cost IoT soil moisture tensiometer. The IoT-prototype is capable of measuring tension up to −80 Kpa with R2 = 0.99 as compared to the same tensiometer equipped with a mechanical manometer. It uses an ESP32 MCU, BMP180 barometric sensor and an SD card module to upload the measured points to a cloud service platform and establishes an online soil water potential curve. Moreover, it stores the reading on a micro-SD card as txt file. Being relatively cheap (76 USD) the prototype allows for more extensive measurements and, thus, for several potential applications such as soil water matric potential mapping, precision irrigation, and smart irrigation scheduling. In terms of energy, the prototype is totally autonomous, using a 2400 mAh Li-ion battery and a solar panel for charging, knowing that it uses deep sleep feature and sends three data points to the cloud each 6 h.

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Automation of irrigation by electronic tensiometry based on the arduino hardware platform

Cited by 5 publications

References 16 publications

Low-cost and high-efficiency automated tensiometer for real-time irrigation monitoring

Low-cost and high-efficiency automated tensiometer for real-time irrigation monitoring

Automatic Grading Technology and Application of Baijiu Based on Segmented Characteristics and IIoT

Internet of Things (IoT) for Soil Moisture Tensiometer Automation

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