Automated zone-specific irrigation with wireless sensor/actuator network and adaptable decision support

Goumopoulos, Christos; O’Flynn, Brendan; Kameas, Achilles

doi:10.1016/j.compag.2014.03.012

Cited by 104 publications

(42 citation statements)

References 24 publications

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“…Their results indicated that the system was able to apply the irrigation volume required in each zone. Goumopoulos et al [38] also implemented a variable rate water application setup for a fixed irrigation system capable of zone-specific irrigation of strawberries. Individual nozzle control in a micro-sprinkler system has been demonstrated by Coates et al [39].…”

Section: Control Of Water Application In Precision Irrigationmentioning

confidence: 99%

“…The system was reported to maintain soil moisture at the defined thresholds. Goumopoulos et al [38] developed an expert system-based adaptive decision support platform for zone-specific irrigation of strawberry plants. The system includes a wireless sensor network of soil, climate and plant sensors providing feedback for the decision support system.…”

Section: Expert Systemsmentioning

confidence: 99%

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Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

et al. 2017

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Globally, the irrigation of crops is the largest consumptive user of fresh water. Water scarcity is increasing worldwide, resulting in tighter regulation of its use for agriculture. This necessitates the development of irrigation practices that are more efficient in the use of water but do not compromise crop quality and yield. Precision irrigation already achieves this goal, in part. The goal of precision irrigation is to accurately supply the crop water need in a timely manner and as spatially uniformly as possible. However, to maximize the benefits of precision irrigation, additional technologies need to be enabled and incorporated into agriculture. This paper discusses how incorporating adaptive decision support systems into precision irrigation management will enable significant advances in increasing the efficiency of current irrigation approaches. From the literature review, it is found that precision irrigation can be applied in achieving the environmental goals related to sustainability. The demonstrated economic benefits of precision irrigation in field-scale crop production is however minimal. It is argued that a proper combination of soil, plant and weather sensors providing real-time data to an adaptive decision support system provides an innovative platform for improving sustainability in irrigated agriculture. The review also shows that adaptive decision support systems based on model predictive control are able to adequately account for the time-varying nature of the soil-plant-atmosphere system while considering operational limitations and agronomic objectives in arriving at optimal irrigation decisions. It is concluded that significant improvements in crop yield and water savings can be achieved by incorporating model predictive control into precision irrigation decision support tools. Further improvements in water savings can also be realized by including deficit irrigation as part of the overall irrigation management strategy. Nevertheless, future research is needed for identifying crop response to regulated water deficits, developing improved soil moisture and plant sensors, and developing self-learning crop simulation frameworks that can be applied to evaluate adaptive decision support strategies related to irrigation.

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Section: Control Of Water Application In Precision Irrigationmentioning

confidence: 99%

Section: Expert Systemsmentioning

confidence: 99%

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

et al. 2017

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“…Además, han sido utilizados para el control automático del riego mediante monitorización en tiempo real con sensores de θ vs en suelo (Navarro-Hellín et al 2015, Vellidis et al 2008, Goumopoulos et al 2014, Coates et al 2013 En este estudio, el comportamiento del ψ h y la T h de ambos cultivos de tomate y chile dulce fue diferente al amanecer (a.m) respecto al m.d., lo cual coincide con estudios realizados por Dorji y Behboudian (2005). Al amanecer (a.m.), las diferencias entre tratamientos se presentaron el día 3 en ψ h y el día 6 en T h (3a, 3c, 4a, 4c).…”

Section: Discussionunclassified

Parámetros para el manejo del agua en tomate y chile dulce hidropónico bajo invernadero

Bravo

2018

RAC

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Water management parameters in hydroponic tomatoes and sweet pepper under greenhouse. The optimal water interval based on volumetric moisture thresholds in the substrate (θ vs ), allows precise control of the volume and frequency of irrigation. The research determined the thresholds of θ vs for irrigation management in tomato and sweet pepper crops in coconut fiber in the greenhouses at the Fabio Baudrit Moreno Agricultural Research Station (EEAFBM), Alajuela, Costa Rica, 2015. In both crops, there were 2 treatments: with irrigation (CR) and without irrigation (SR), in a completely random design. The content of water θ vs , the water potential (ψ h ) and the leaf temperature (T h ) were evaluated and the evapotranspiration of both crops was estimated by means of a water balance in the substrate. The θ vs threshold for water management in coconut fiber and both crops could be established in the readily available water range of 56% to 38%, where the ψ h values were below the critical threshold of < -1 MPa reported by different authors and the T h were similar to the air temperature. The averages of θ vs in tomato (44%) and sweet pepper (50%) in CR treatments RESUMENEl intervalo hídrico óptimo, basado en umbrales de humedad volumétrica en el sustrato (θ vs ), permite un control preciso del volumen y la frecuencia de riego. Se determinaron los umbrales de θ vs para el manejo del riego en los cultivos de tomate y chile dulce en fibra de coco en los invernaderos de la Estación Experimental Agrí-cola Fabio Baudrit Moreno (EEAFBM), Alajuela, Costa Rica, en el 2015. En ambos cultivos se aplicó un tratamiento con riego (CR) y otro sin riego (SR), en un diseño completamente aleatorio. Se evaluó el contenido de θ vs , el potencial hídrico (ψ h ) y la temperatura de la hoja (T h ) y se estimó la evapotranspiración de ambos cultivos mediante un balance de agua en el sustrato. El umbral de θ vs en la fibra de coco, para el manejo del riego en ambos cultivos, podría establecerse en el rango de agua fácilmente disponible de 56% a 38%, donde los valores de ψ h fueron inferiores al umbral crítico de < -1 MPa reportado por diferentes autores y las T h fueron similares a la temperatura del aire. En los tratamientos CR, los promedios de θ vs en tomate (44%) y chile dulce (50%) estuvieron dentro del rango de agua fácilmente disponible (38% a 56%) de la fibra

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“…Fortunately, rapid advances in wireless sensor networks (WSNs) technology continue to bring innovative and significant benefits to precision agriculture. 2,3 In the past decades, a great many WSNs have been developed and deployed for a variety of crop production applications, such as soil moisture sensing; 4 soil moisture, temperature, electrical conductivity (EC), and video-surveillance; 5 soil moisture and canopy temperature sensing; 6 autonomous closed-loop zone-specific irrigation and valve control; 7,8 automated irrigation schedule through combined analysis of air humidity 1 and temperature, soil moisture and temperature, irradiation, and wind speed; 9 and frost protection and dew condensation prevention. 10 Nowadays, palm plantations are widely cultivated in the arid regions of the Mediterranean, from the traditional food cultivars to the growing industry of bio--fuels.…”

Section: Introductionmentioning

confidence: 99%

Practical deployment of an in-field wireless sensor network in date palm orchard

Rao

Zhu

et al. 2017

International Journal of Distributed Sensor Networks

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Recent advances in agriculture-oriented sensors and wireless communication technologies offer great opportunities for the development and application of precision agriculture. This article describes our experience during the deployment of an experimental in-field sensor network that provided real-time monitoring in a 10-year-old date palm orchard. Taking into account the spatial variability of multiple growth-determining soil variables, the sub-regions of the sensor placement were determined by delineating the orchard into several monitoring zones. Then, the specific number of the required sensors was calculated based on the requirement of data accuracy. The sensors were distributed into the target orchard by combining the tree number with the coefficient variability of growth-determining soil variables in the monitoring zones. Finally, the networking was realized by means of synthesizing the received wireless signal strength distribution, the layout of monitoring zones, and the number of the required sensors. Some data from the deployed wireless sensor network are presented and discussed.

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Automated zone-specific irrigation with wireless sensor/actuator network and adaptable decision support

Cited by 104 publications

References 24 publications

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

Parámetros para el manejo del agua en tomate y chile dulce hidropónico bajo invernadero

Practical deployment of an in-field wireless sensor network in date palm orchard

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