Development and Application of Cell-Phone-Based Internet of Things (IoT) Systems for Soil Moisture Monitoring

Payero, José O.; Marshall, Michael W.; Farmaha, Bhupinder S.; Davis, Rebecca; Nafchi, Ali Mirzakhani

doi:10.4236/as.2021.125035

Cited by 8 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ThingSpeak.com is an IoT analytics platform service that allows users to aggregate, visualize, and analyze live data streams in the Cloud. We selected ThingSpeak.com because we had already used this service for previous applications [42][43][44][45], we were familiar with it, and it offered all the needed features. Other researchers, such as [30,40], also used ThingsSpeak.com.…”

Section: Internet Of Things (Iot) Systemmentioning

confidence: 99%

“…In previous studies, our research team in the USA used open-source electronics to develop IoT systems for monitoring properties relevant to agricultural soil and water management and making the data available online in real-time using cell phone communication. For example, we designed three IoT systems for soil moisture monitoring [42][43][44] to assist growers in making more accurate and timely irrigation scheduling decisions based on real-time sensor data. Similarly, our team developed another IoT system to monitor agricultural runoff and collect water-quality samples from an agricultural field [45].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Effective and Affordable Internet of Things (IoT) Scale System to Measure Crop Water Use

Payero

2024

AgriEngineering

View full text Add to dashboard Cite

Scales are widely used in many agricultural applications, ranging from weighing crops at harvest to determine crop yields to regularly weighing animals to determine growth rate. In agricultural research applications, there is a long history of measuring crop water use (evapotranspiration [ET]) using a particular type of scale called weighing lysimeters. Typically, weighing lysimeters require very accurate data logging systems that tend to be expensive. Recent developments in open-source technologies, such as micro-controllers and Internet of Things (IoT) platforms, have created opportunities for developing effective and affordable ways to monitor crop water use and transmit the data to the Internet in near real-time. Therefore, this study aimed to create an affordable Internet of Things (IoT) scale system to measure crop ET. A scale system to monitor crop ET was developed using an Arduino-compatible microcontroller with cell phone communication, electronic load cells, an Inter-Integrated Circuit (I2C) multiplexer, and analog-to-digital converters (ADCs). The system was powered by a LiPo battery, charged by a small (6 W) solar panel. The IoT scale system was programmed to collect data from the load cells at regular time intervals and send the data to the ThingSpeak IoT platform. The system performed successfully during indoor and outdoor experiments conducted in 2023 at the Clemson University Edisto Research and Education Center, Blackville, SC. Calibrations relating the measured output of the scale load cells to changes in mass resulted in excellent linear relationships during the indoor (r2 = 1.0) and outdoor experiments (r2 = 0.9994). The results of the outdoor experiments showed that the IoT scale system could accurately measure changes in lysimeter mass during several months (Feb to Jun) without failure in data collection or transmission. The changes in lysimeter mass measured during that period reflected the same trend as concurrent soil moisture data measured at a nearby weather station. The changes in lysimeter mass measured with the IoT scale system during the outdoor experiment were accurate enough to derive daily and hourly crop ET and even detect what appeared to be dew formation during the morning hours. The IoT scale system can be built using open-source, off-the-shelf electronic components which can be purchased online and easily replaced or substituted. The system can also be developed at a fraction of the cost of data logging, communication, and visualization systems typically used for lysimeter and scale applications.

show abstract

Section: Internet Of Things (Iot) Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Effective and Affordable Internet of Things (IoT) Scale System to Measure Crop Water Use

Payero

2024

AgriEngineering

View full text Add to dashboard Cite

show abstract

“…Reference Description Sensors Network 1 (Payero et al, 2021) The system contributes to decision-making in irrigation scheduling. It collects and transmits soil moisture data and allows the user to observe in real time the data through a computer or smartphone.…”

Section: Workmentioning

confidence: 99%

Internet of Things experimental platform for real-time water monitoring: a case study of the Araranguá River estuary

Morales,

D´Aquino,

Klaus

et al. 2023

Acta Sci Technol

View full text Add to dashboard Cite

The Internet of Things (IoT) is a technology that can be employed to monitor several sectors, mostly precision agriculture, where environmental data can be used to better manage resources, reduce costs, and improve the use of natural resources. This work proposes the application of cloud-based IoT for monitoring irrigation water in rice fields. Southern Brazil was chosen as a case study because it suffers from water pollution problems due to urban activities, coal mining, and the inflow of saline water into the Araranguá River estuary. All these factors can compromise the water quality for irrigation. The presence of salt in irrigation water can compromise rice growth, making its monitoring essential for successful cultivation. Currently, the rice farmer needs to travel to the riverbank to assess the water quality using a manual sensor. This procedure demands time and resources and is not always efficient. The technology helps indicate whether the water is of quality to irrigate crops, helping the farmers decide whether to use that water to irrigate their fields. The solution is based on low-cost wireless sensor network devices, with subsequent transmission of data from the gateway using the network mobile phone cloud. Data collected were also accessed by the smartphone through a mobile application. This system was implemented for testing in the Araranguá River estuary, southern Santa Catarina, Brazil. Also, it appears as an option for farmers who need to monitor the quality of the water channel of the crop, thus avoiding the loss and reduction in crop productivity because the system can be continuously monitored and show notifications to the user. The highlights of this work were prototyping a complete solution to help the farmer using a smartphone application.

show abstract

“…Divyavani and Rao [143] could receive moisture sensor data using the Android mobile phone. Payero et al [144] controlled soil moisture in a field through a mobile-based IoT system. The WSN system proposed by Shylaja and Veena [85] dispatched soil fertility circumstances to the mobile phone that are beneficial for fertilizer recommendation.…”

Section: Wireless Sensing and Iot Monitoringmentioning

confidence: 99%

An Overview of Soil Moisture and Salinity Sensors for Digital Agriculture Applications

Shamshiri¹,

Balasundram²,

Rad³

et al. 2022

Digital Agriculture, Methods and Applications

View full text Add to dashboard Cite

Soil salinity and the water crisis are imposing significant challenges to more than 100 countries as dominant factors of agricultural productivity decline. Given the rising trend of climate change and the need to increase agricultural production, it is crucial to execute appropriate management strategies in farmlands to address salinity and water deficiencies. Ground-based soil moisture and salinity sensors, as well as remote sensing technologies in satellites and unmanned aerial vehicles, which can be used for large-scale soil mapping with high accuracy, play a pivotal role in precision agriculture as advantageous soil condition monitoring instruments. Several barriers, such as expensive rates and a lack of systematic networks, may hinder or even adversely impact the progression of agricultural digitalization. As a result, integrating proximal equipment with remote sensing and Internet of things (IoT) capabilities has been shown to be a promising approach to improving soil monitoring reliability and efficiency. This chapter is an attempt to describe the pros and cons of various soil sensors, with the objective of promoting IoT technology in digital agriculture and smart farming.

show abstract

Development and Application of Cell-Phone-Based Internet of Things (IoT) Systems for Soil Moisture Monitoring

Cited by 8 publications

References 25 publications

An Effective and Affordable Internet of Things (IoT) Scale System to Measure Crop Water Use

An Effective and Affordable Internet of Things (IoT) Scale System to Measure Crop Water Use

Internet of Things experimental platform for real-time water monitoring: a case study of the Araranguá River estuary

An Overview of Soil Moisture and Salinity Sensors for Digital Agriculture Applications

Contact Info

Product

Resources

About