Surface soil moisture monitoring with near-ground sensors: Performance assessment of a matric potential-based method

Serrano, D.; Avila, Edgar A.; Barrios, Miguel; Darghan, Aquiles Enrique; Lobo, Deyanira

doi:10.1016/j.measurement.2020.107542

Cited by 8 publications

(4 citation statements)

References 29 publications

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“…The investigation of Serrano and co-authors [28] aimed at finding a decent indirect method for estimating surface soil moisture that could be applied for monitoring in situ soil water potential. They measured the surface volumetric soil moisture by the gravimetric method and collected 2211 soil samples for the survey period.…”

Section: Discussionmentioning

confidence: 99%

Soil Moisture a Posteriori Measurements Enhancement Using Ensemble Learning

Ruszczak

Boguszewska-Mańkowska

2022

Sensors

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This work aimed to assess the recalibration and accurate characterization of commonly used smart soil-moisture sensors using computational methods. The paper describes an ensemble learning algorithm that boosts the performance of potato root moisture estimation and increases the simple moisture sensors’ performance. It was prepared using several month-long everyday actual outdoor data and validated on the separated part of that dataset. To obtain conclusive results, two different potato varieties were grown on 24 separate plots on two distinct soil profiles and, besides natural precipitation, several different watering strategies were applied, and the experiment was monitored during the whole season. The acquisitions on every plot were performed using simple moisture sensors and were supplemented with reference manual gravimetric measurements and meteorological data. Next, a group of machine learning algorithms was tested to extract the information from this measurements dataset. The study showed the possibility of decreasing the median moisture estimation error from 2.035% for the baseline model to 0.808%, which was achieved using the Extra Trees algorithm.

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Section: Discussionmentioning

confidence: 99%

Soil Moisture a Posteriori Measurements Enhancement Using Ensemble Learning

Ruszczak

Boguszewska-Mańkowska

2022

Sensors

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“…The advantage of our robotic platform is the ability to collect relatively large amounts of samples. Rapid monitoring of the soil characteristics in the samples can be carried out, for example, with ground probes (Serrano, Ávila, Barrios, Darghan, Lobo, 2020). Subsequent evaluation of the results of express monitoring with this technology is based on the matrix potential method (Serrano et al, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Rapid monitoring of the soil characteristics in the samples can be carried out, for example, with ground probes (Serrano, Ávila, Barrios, Darghan, Lobo, 2020). Subsequent evaluation of the results of express monitoring with this technology is based on the matrix potential method (Serrano et al, 2020). Decision-making about the location of sampling points in a particular field can be organized on the basis of the gradient sampling method (Liu, Zhu, Yang, Pei, Wang, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Robotic Platform Concept for Rapid Soil Monitoring

Bykov¹,

Berezhnov²,

Leonov³

2020

Modern S&T Equipments and Problems in Agriculture

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This article presents the substantiation of application of a robotic platform for express monitoring of the main physical-chemical and agrochemical indicators of soils in field conditions. The concept of the robotic platform provides for its movement in the field along the trajectory given by the IV International Scientific and Practical Conference "Modern S&T Equipments and Problems in Agriculture" 29 program, collection of soil samples and immersion of probes with sensors in them. The main advantage of the proposed method is its high efficiency at low economic costs. Due to the large number of measurements per unit area of the field the estimation accuracy is quite high. At the same time, for one point of the field it is possible to make measurements in different soil horizons. The conceptual scheme of the robotic platform is offered, energy calculations are performed, specific brands of sensors and other devices are selected. The presented materials are the basis for designing, manufacturing and operation of this automated vehicle. The concept of robotic platform operation corresponds to modern digital technologies and precision farming system.

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“…The thermogravimetric method is a well-known and widely used standard procedure for calibrating soil moisture content [16]. It is based on the drying of a soil sample in an oven at 110 ± 5 • C for at least 24 h and measuring the weight of the sample before and after drying [17]. Unfortunately, this method is time-consuming and can only be performed in a laboratory.…”

Section: Introductionmentioning

confidence: 99%

Fully Printed Disposable IoT Soil Moisture Sensors for Precision Agriculture

et al. 2020

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Digitization of industrial processes using new technologies (IoT—Internet of Things, IoE—Internet of Everything), including the agriculture industry, are globally gaining growing interest. The precise management of production inputs is essential for many agricultural companies because limited or expensive sources of water and nutrients could make sustainable production difficult. For these reasons, precise data from fields, plants, and greenhouses have become more important for decision making and for the proper dosage of water and nutrients. On the market are a variety of sensors for monitoring environmental parameters within a precise agricultural area. However, the high price, data storage/transfer functionality are limiting so cost-effective products capable to transfer data directly to farmers via wireless IoT networks are required. Within a given scope, low-price sensor elements with an appropriate level of sensor response are required. In the presented paper, we have developed fully printed sensor elements and a dedicated measuring/communicating unit for IoT monitoring of soil moisture. Various fabrication printing techniques and a variety of materials were used. From the performed study, it is obvious that fully printed sensor elements based on cheap and environmentally friendly carbon layers printed on the wood substrate can compete with conventionally made sensors based on copper.

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Surface soil moisture monitoring with near-ground sensors: Performance assessment of a matric potential-based method

Cited by 8 publications

References 29 publications

Soil Moisture a Posteriori Measurements Enhancement Using Ensemble Learning

Soil Moisture a Posteriori Measurements Enhancement Using Ensemble Learning

Robotic Platform Concept for Rapid Soil Monitoring

Fully Printed Disposable IoT Soil Moisture Sensors for Precision Agriculture

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