Agricultural cyber-physical system enabled for remote management of solar-powered precision irrigation

Selmani, A.; Oubehar, H.; Outanoute, M.; Ed-Dahhak, Abdelali; Guerbaoui, M.; Lachhab, Abdeslam; Bouchikhi, Benachir

doi:10.1016/j.biosystemseng.2018.06.007

Cited by 38 publications

(34 citation statements)

References 21 publications

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“…In the case of sensors based on ultrasound methods, the most utilized sensor is the HC-SR04 (Shenzhenshi guoyun dianzishangwu youxiangongsi , Shenzhen, China, used in [69]). In addition, there are six papers that do not include an actuator for the irrigation system even when they have water level sensors [60,[93][94][95][96][97]. There are nine papers where sensors for monitoring water flow are utilized [14,31,42,45,50,64,75,76,82].…”

Section: Outdoormentioning

confidence: 99%

“…The pH of the soil is measured in four proposals [66,67,72,110]. However, none of these proposals indicates the selected device or A device able to measure the temperature and the moisture at the same time, the VH400 (Vegetronix, Inc., Riverton, UT, USA), is utilized in [37,40,89,96,119,120]. These sensors can be used from 40 • C to 85 • C, but the accuracy and operational range of the sensor probe are not indicated in its datasheet.…”

Section: Soil Monitoringmentioning

confidence: 99%

“…Figure 22 shows the types of Arduino nodes utilized in IoT irrigation systems. In addition to the Arduino UNO and the Arduino Mega, the Arduino Yun [60], the Arduino Due [96] and the Arduino NANO [151] were utilized in other IoT irrigation proposals. However, 15 papers did not specify the model of the Arduino board utilized [5,29,32,51,81,82,90,120,124,131,138,162,164,167,177].…”

Section: Iot Nodes For Irrigation Systemsmentioning

confidence: 99%

“…They are followed by the Raspberry Pi 3 Model B [132,151], the Raspberry Pi 1 Model B [76,117] and the Raspberry Zero [152]. There were however eight papers that utilized an unspecified Raspberry Pi 3 [28,46,55,99,110,148,159,163] and 13 papers [39,50,59,65,96,115,120,124,[134][135][136]172,178] that indicated that a Raspberry Pi node was utilized but the model of the node was not specified. The Raspberry Pi boards are more potent than the Arduino boards.…”

Section: Iot Nodes For Irrigation Systemsmentioning

confidence: 99%

“…Other authors have identified the utilized databases. The most utilized one is MySQL [35,46,54,58,67,76,96,110,124,126,144,158] 12 papers, followed by SQL [69,119] with two papers. Other less utilized databases where SQLite (Hwaci.…”

Section: Cloud Platformsmentioning

confidence: 99%

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IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture

García

Parra

Jiménez

et al. 2020

Sensors

450

168

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Water management is paramount in countries with water scarcity. This also affects agriculture, as a large amount of water is dedicated to that use. The possible consequences of global warming lead to the consideration of creating water adaptation measures to ensure the availability of water for food production and consumption. Thus, studies aimed at saving water usage in the irrigation process have increased over the years. Typical commercial sensors for agriculture irrigation systems are very expensive, making it impossible for smaller farmers to implement this type of system. However, manufacturers are currently offering low-cost sensors that can be connected to nodes to implement affordable systems for irrigation management and agriculture monitoring. Due to the recent advances in IoT and WSN technologies that can be applied in the development of these systems, we present a survey aimed at summarizing the current state of the art regarding smart irrigation systems. We determine the parameters that are monitored in irrigation systems regarding water quantity and quality, soil characteristics and weather conditions. We provide an overview of the most utilized nodes and wireless technologies. Lastly, we will discuss the challenges and the best practices for the implementation of sensor-based irrigation systems.

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