Online decision support for irrigation for farmers

Thysen, Iver; Detlefsen, Nina

doi:10.1016/j.agwat.2006.05.016

Cited by 42 publications

(19 citation statements)

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“…Estos modelos pueden ser utilizados para evaluar distintos planes de riego en diferentes escenarios climáticos y de cultivos, ya sea tanto a escala parcelaria como de chacra. Algunos ejemplos de estos son: CROPWAT (Smith, 1992), WinISAREG (Teixeira y Pereira, 1992), SIMDualKc (Rolim et al, 2006), AQUACROP , CROPIRRI (Zhang y Feng, 2010), MODERATO (Bergez et al, 2001) y PLANTE-INFO (Thysen y Detlefsen, 2006). Algunos de estos métodos están basados solamente en balances de agua en el suelo, siguiendo fundamentalmente la guía FAO-56 (Allen et al, 1998), mientras que los otros incorporan además, parámetros del crecimiento y desarrollo del cultivo para simular su rendimiento, lo que permite un mayor análisis y seguimiento por parte de técnicos y productores.…”

Section: Modelos De Ayuda a La Toma De Decisiones En Riegounclassified

Programación del riego.

2019

INIA

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Section: Modelos De Ayuda a La Toma De Decisiones En Riegounclassified

Programación del riego.

2019

INIA

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“…DSS for irrigation are intended to utilize holistic approaches to irrigated crop management, which requires the seamless integration of the hardware (physical system), existing control and safety mechanisms, positioning systems (i.e., GPS), software interfacing with predicitive crop models and other software tools, field data networks and various types of remotely sensed data, and wireless communications. Most current decision support systems are designed to enhance soil water management approaches to irrigated crop management within a single field or several fields to maximize total yield over the area (Oswald et al, 2005;Thysen and Detlefsen, 2006;Heeren et al, 2007;Kim et al, 2007, Kim andBrown et al, 2010;Chávez et al 2010aChávez et al , 2010bChávez et al , 2010c.…”

Section: Ss-vri Researchmentioning

confidence: 99%

Integrated Decision Support, Sensor Networks, and Adaptive Control for Wireless Site-Specific Sprinkler Irrigation

Evans¹,

Iversen²,

Kim³

2011

Applied Engineering in Agriculture

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The development of site-specific water management systems for sprinkler irrigation will be a major factor in future efforts to improve the various efficiencies of water-use and to support a sustainable irrigated environment. The challenge is to develop fully integrated management systems with supporting elements that accurately and inexpensively sense within-field variability and then optimally control variable-rate water application systems in ways that account for the spatial variability affecting water use. Recent advances in sensor and wireless radio frequency (RF) technologies have enabled the development of distributed in-field sensor-based irrigation systems to support site-specific irrigation management. Thus, integration of a decision-making process with a distributed wireless sensor network (WSN) and providing real-time input to site-specific controls is a viable option. This presentation reviews research on the implementation of in-field micrometeorological information that was fed from a distributed wireless sensor network (WSN) and displayed on a geo-referenced field map in a computer base station. Low-cost Bluetooth wireless RF communications from both a distributed WSN and the machine controls monitoring of sprinkler status and global positioning system (GPS) location were interfaced with a computer base station for processing by a decision support program, which updated the instructions to the variable rate irrigation controller for real-time site-specific control. The decision support was optimized to adapt changes of crop type, irrigation pattern, and field location for instructions for individual sprinkler heads on how much water to apply and where. A graphical user interface (GUI) with a simple click-and-play menu was used, which allowed growers to remotely access field conditions and irrigation status at the home or office via wireless RF communications.

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“…Most of the recommendations provided by these services are based on the estimation of the soil water balance considering meteorological data and local information of soil-plant systems (Allen et al, 1998;Bastiaanssen et al, 2007). In some cases, remote sensing observations are also integrated (Thysen and Detlefsen, 2006;D'Urso et al, 2010;Melton et al, 2012;Montgomery et al, 2015;Vuolo et al, 2015). Services are usually provided as online applications (Montoro et al, 2011;Palmer, 2011;Kaloxylos et al, 2014;Giannerini and Genovesi, 2015) or by a specific app available for end-users (Li et al, 2013;Bartlett et al, 2015;Migliaccio, 2016).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Irrigation Scheduling Systems in Germany: Survey of the Users and Comparative Study

Baroni

Drastig

Lichtenfeld

et al. 2019

Irrigation and Drainage

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In Germany, the irrigation sector accounts for only 1% of water use. In recent years, however, this sector has attracted more attention due to the occurrence of severe drought periods. Irrigation scheduling systems could support adaptation strategies but little is known about current providers, performance and users. In this study we aimed to depict the current situation of the existence and functioning of irrigation scheduling systems available in Germany. Six methods were identified and assessed based on direct interviews with end‐users and a comparative analysis. The results showed a positive feedback from the users. However, the recommendations were rarely implemented, while only the seasonal irrigation requirement was considered to support actual water abstraction. These results were corroborated by the comparative analysis. Five of the six irrigation scheduling systems estimated the seasonal irrigation amount consistently, while wider differences were found by looking at the irrigation season and at the number of irrigations. Overall, it is found that irrigation support systems are valuable tools for supporting adaptation strategies to fast changes in agro‐environmental conditions. However, specific assessments based on real measurements should be considered in order to improve the performance of the systems and provide more consistent support to end‐users. © 2019 John Wiley & Sons, Ltd.

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Online decision support for irrigation for farmers

Cited by 42 publications

References 10 publications

Programación del riego.

Programación del riego.

Integrated Decision Support, Sensor Networks, and Adaptive Control for Wireless Site-Specific Sprinkler Irrigation

Assessment of Irrigation Scheduling Systems in Germany: Survey of the Users and Comparative Study

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