Development of smart irrigation systems based on real-time soil moisture data in a greenhouse: Proof of concept

Liao, Renkuan; Zhang, Shirui; Zhang, Xin; Wang, Mingfei; Wu, Huarui; Zhangzhong, Lili

doi:10.1016/j.agwat.2020.106632

Cited by 61 publications

(26 citation statements)

References 50 publications

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“…Recently, Liao et al [ 29 ] developed a smart irrigation system based on real-time soil moisture data to estimate the dynamic crop water uptake depth (WUD) using the spatiotemporal characteristics of soil moisture distributions. According to the authors, this study estimated the tomato WUD from the distribution characteristics of soil moisture in the profile, providing a real-time and effortless method to determine the dynamic designed irrigation depth for guiding irrigation events.…”

Section: Precision Crop Farmingmentioning

confidence: 99%

Precision Agriculture for Crop and Livestock Farming—Brief Review

Monteiro

Santos

Gonçalves

2021

Animals

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In the last few decades, agriculture has played an important role in the worldwide economy. The need to produce more food for a rapidly growing population is creating pressure on crop and animal production and a negative impact to the environment. On the other hand, smart farming technologies are becoming increasingly common in modern agriculture to assist in optimizing agricultural and livestock production and minimizing the wastes and costs. Precision agriculture (PA) is a technology-enabled, data-driven approach to farming management that observes, measures, and analyzes the needs of individual fields and crops. Precision livestock farming (PLF), relying on the automatic monitoring of individual animals, is used for animal growth, milk production, and the detection of diseases as well as to monitor animal behavior and their physical environment, among others. This study aims to briefly review recent scientific and technological trends in PA and their application in crop and livestock farming, serving as a simple research guide for the researcher and farmer in the application of technology to agriculture. The development and operation of PA applications involve several steps and techniques that need to be investigated further to make the developed systems accurate and implementable in commercial environments.

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Section: Precision Crop Farmingmentioning

confidence: 99%

Precision Agriculture for Crop and Livestock Farming—Brief Review

Monteiro

Santos

Gonçalves

2021

Animals

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“…Modern automatic irrigation sensors and devices are essential for the development of traditional irrigation systems for water conservation. The irrigation systems embedded with modern water-saving irrigation systems have been further developed to improve water productivity [4,17,38,39]. Our study added a solution for addressing and reducing the disadvantages of water-saving subsurface irrigation methods using IoT applications for overcoming difficulty controlling system operation.…”

Section: Csis Tsi (Control) S-bis T-bismentioning

confidence: 99%

“…The subsurface irrigation systems are characterized by water application at low intensity directly in the functional root zone of the date palm [1,16,[27][28][29]. The automatic irrigation system, including wireless soil moisture sensors, obtains more yield with less irrigation water requirement, and the water productivity is improved [5,17,25]. The efficient irrigation systems considerably help increase the water-productivity of crops, especially in regions with water deficits and a lack of automated irrigation facilities [30,31].…”

Section: Introductionmentioning

confidence: 99%

Efficient IoT-Based Control for a Smart Subsurface Irrigation System to Enhance Irrigation Management of Date Palm

Mohammed

Riad

Alqahtani

2021

Sensors

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Drought is the most severe problem for agricultural production, and the intensity of this problem is increasing in most cultivated areas around the world. Hence improving water productivity is the primary purpose of sustainable agriculture. This study aimed to use cloud IoT solutions to control a modern subsurface irrigation system for improving irrigation management of date palms in arid regions. To achieve this goal, we designed, constructed, and validated the performance of a fully automated controlled subsurface irrigation system (CSIS) to monitor and control the irrigation water amount remotely. The CSIS is based on an autonomous sensors network to instantly collect the climatic parameters and volumetric soil water content in the study area. Therefore, we employed the ThingSpeak cloud platform to host sensor readings, perform algorithmic analysis, instant visualize the live data, create event-based alerts to the user, and send instructions to the IoT devices. The validation of the CSIS proved that automatically irrigating date palm trees controlled by the sensor-based irrigation scheduling (S-BIS) is more efficient than the time-based irrigation scheduling (T-BIS). The S-BIS provided the date palm with the optimum irrigation water amount at the opportune time directly in the functional root zone. Generally, the S-BIS and T-BIS of CSIS reduced the applied irrigation water amount by 64.1% and 61.2%, respectively, compared with traditional surface irrigation (TSI). The total annual amount of applied irrigation water for CSIS with S-BIS method, CSIS with T-BIS method, and TSI was 21.04, 22.76, and 58.71 m3 palm−1, respectively. The water productivity at the CSIS with S-BIS (1.783 kg m−3) and T-BIS (1.44 kg m−3) methods was significantly higher compared to the TSI (0.531 kg m−3). The CSIS with the S-BIS method kept the volumetric water content in the functional root zone next to the field capacity compared to the T-BIS method. The deigned CSIS with the S-BIS method characterized by the positive impact on the irrigation water management and enhancement on fruit yield of the date palm is quite proper for date palm irrigation in the arid regions.

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“…Nawandar et al [29] proposed a greenhouse, garden and farm control system and an automatic irrigation system capable of tracking the water needs of the crop, providing real-time and historical data of the farm. Liao et al [30] performed the design of an automatic irrigation system with real-time soil moisture data to estimate the depth of water absorption. Finally, Eltohamy et al [31] analysed how phosphorus released from the soil surface in paddy fields is influenced under different irrigation scenarios for different soil moistures.…”

Section: Related Workmentioning

confidence: 99%

Smart Control and Energy Efficiency in Irrigation Systems Using LoRaWAN

Sánchez-Sutil

Caño

2021

Sensors

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Irrigation installations in cities or agricultural operations use large amounts of water and electrical energy in their activity. Therefore, optimising these resources is essential nowadays. Wireless networks offer ideal support for such applications. The long-range wide-area network (LoRaWAN) used in this research offers a large coverage of up to 5 km, has low power consumption and does not need additional hardware such as repeaters or signal amplifiers. This research develops a control and monitoring system for irrigation systems. For this purpose, an irrigation algorithm is designed that uses rainfall probability data to regulate the irrigation of the installation. The algorithm is complemented by checking the sending and receiving of information in the LoRa network to reduce the loss of information packets. In addition, two temperature and humidity measurement devices for LoRaWAN (THMDLs) and an electrovalve control device for LoRaWAN (ECDLs) were developed. The hardware and software were also designed, and prototypes were built with the development of the electronic board. The wide coverage of the LoRaWAN allows the covering of small to large irrigation areas.

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Development of smart irrigation systems based on real-time soil moisture data in a greenhouse: Proof of concept

Cited by 61 publications

References 50 publications

Precision Agriculture for Crop and Livestock Farming—Brief Review

Precision Agriculture for Crop and Livestock Farming—Brief Review

Efficient IoT-Based Control for a Smart Subsurface Irrigation System to Enhance Irrigation Management of Date Palm

Smart Control and Energy Efficiency in Irrigation Systems Using LoRaWAN

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