Theory and Development of a VRI Decision Support System: The USDA-ARS ISSCADA Approach

Self Cite

HighlightsThe ARSPivot software seamlessly integrates site-specific irrigation scheduling methods with weather, plant, and soil water sensing systems in the operation of variable-rate irrigation (VRI) center pivot systems.ARSPivot embodies an Irrigation Scheduling Supervisory Control and Data Acquisition (ISSCADA) system that incorporates site-specific irrigation scheduling methods and automates the collection and processing of data obtained from sensing systems supporting them.ARSPivot incorporates a friendly graphical user interface (GUI) that assists in the process of setting up a computerized representation of a coupled ISSCADA VRI center pivot system and simplifies the review of irrigation prescriptions automatically generated based on sensor feedback.ARSPivot’s GUI includes a geographic information system (GIS) that relates sensed data and imported GIS data to specific field control zones.Abstract. The commercial availability of variable-rate irrigation (VRI) systems gives farmers access to unprecedented control of the irrigation water applied to their fields. To take full advantage of these systems, their operations must integrate site-specific irrigation scheduling methods that in turn should be supported by a network of sensing systems. An Irrigation Scheduling Supervisory Control and Data Acquisition (ISSCADA) system patented by scientists with the USDA-Agricultural Research Service (ARS) at Bushland, Texas, incorporates site-specific irrigation scheduling methods informed by weather, plant, and soil water sensing systems. This article introduces a software package, ARSPivot, developed to integrate the ISSCADA system into the operation of VRI center pivot systems. ARSPivot assists the operation and integration of a complex network of sensing systems, irrigation scheduling methods, and irrigation machinery to achieve this end. ARSPivot consists of two independent programs interacting through a client-server architecture. The client program is focused on automatically collecting and processing georeferenced data from sensing systems and communicating with a center pivot control panel, while the server program is focused on communicating with users through a friendly graphical user interface (GUI) involving a geographic information system (GIS). The GUI allows users to visualize and modify site-specific prescription maps automatically generated based on sensor-based irrigation scheduling methods, and to control and monitor the application of irrigation amounts specified in these recommended prescription maps using center pivots equipped for VRI zone control or VRI speed control. This article discusses the principles and design considerations followed in the development of ARSPivot and presents tools implemented in the software for the virtual design and physical operation of a coupled ISSCADA VRI center pivot system. This article also illustrates how the ISSCADA system and ARSPivot constitute a comprehensive sensor-based decision support system (DSS) for VRI management that is accessible to users without in-depth knowledge of sensing systems or irrigation scheduling methods. Keywords: Center pivot irrigation, Decision support system, Precision agriculture, Sensors, Site-specific irrigation scheduling, Software, Variable rate irrigation.n

Section: Irrigation Scheduling Methodsmentioning

confidence: 99%

“…The former method was often better than those obtained using best local management practices. Evett et al (2020) described the development of the ISSCADA system and supporting wireless sensor subsystems.…”

mentioning

confidence: 99%

ARSPivot, A Sensor-Based Decision Support Software for Variable-Rate Irrigation Center Pivot Systems: Part A. Development

Andrade¹,

O’Shaughnessy²,

Evett³

2020

Self Cite

“…Two IRTs were located at the boundaries of each of the six outermost sprinkler zones and pointed inward toward the center of each sprinkler zone at oblique angles from nadir. Data collected by each pair of the two IRTs with opposing views of a sprinkler zone were averaged to estimate the canopy temperature inside the sprinkler zone, thus minimizing sun angle and IRT aiming effects (Evett et al, 2020). Two additional wireless IRTs were placed at static locations in well-irrigated areas in the NNW side of the field with opposing views of the same area.…”

Section: Methodsmentioning

confidence: 99%

ARSPivot, A Sensor-Based Decision Support Software for Variable-Rate Irrigation Center Pivot Systems: Part B. Application

Andrade¹,

O’Shaughnessy²,

Evett³

2020

Self Cite

HighlightsThe ARSPivot software facilitates variable-rate irrigation management of a center pivot irrigation system.The software embodies a system capable of generating site-specific prescription maps based on weather, plant, and soil water information.ARSPivot’s graphical user interface (GUI) incorporates easy-to-use geographic information system (GIS) tools that help its users to make irrigation management decisions.Abstract. The ARSPivot software was developed for the seamless operation of a complex network consisting of a variable-rate irrigation (VRI) center pivot system and an Irrigation Scheduling Supervisory Control and Data Acquisition (ISSCADA) system that interfaces with weather, plant, and soil water sensing systems. ARSPivot’s graphical user interface (GUI) incorporates a built-in geographic information system (GIS) that maps a center pivot system and facilitates the analysis of data relevant to its operation. The GIS was developed following a minimalistic approach with the objective of making its geospatial data analysis tools accessible to a wide range of users (farmers, irrigation consultants, and researchers). The post-harvest analyses of two experiments carried out in the Texas High Plains during the summers of 2016 and 2017 using a three-span VRI center pivot are presented to illustrate the advantages of using ARSPivot as a decision support tool and how its GIS tools help its users make better informed decisions regarding irrigation management. In these experiments, the north-northwest (NNW) portion of a field planted with corn (Zea mays L.) was irrigated using VRI zone control, and the south-southeast (SSE) portion was irrigated using VRI speed control. Experimental plots in the NNW portion were assigned one of three irrigation levels (80%, 50%, or 30% replenishment of soil water depletion to field capacity in the top 1.5 m), and their irrigation was scheduled using either a plant stress-based algorithm implemented in the ARSPivot software or manual weekly neutron probe (NP) readings. Plots in the SSE portion were assigned a single irrigation level of 80%, and their irrigation was scheduled using either the plant stress method or a two-step hybrid approach in which soil water sensing was combined with the plant stress method to determine irrigation depths. Soil water sensing data for the ISSCADA system were provided by NP readings during the 2016 season and by sets of time-domain reflectometers (TDRs) installed at depths of 15, 30, and 45 cm during the 2017 season. No significant differences were found during either season in terms of mean dry grain yield and crop water productivity (CWP) obtained from plots irrigated at the 80% level in both sides of the field, regardless of the irrigation scheduling method or the type of VRI application method used for irrigation. No significant differences were found during either season between mean dry grain yield and CWP of plots in the NNW portion irrigated using the plant stress-based method and NP readings at the 80% irrigation level. The lack of significant differences documented the potential of the ARSPivot system as a plant and soil water sensing-based decision support software for site-specific irrigation management of corn using a VRI center pivot system. Keywords: Center pivot irrigation, Decision support system, Geographic information system, Precision agriculture, Software.

“…During the last decade, the USDA-ARS has worked extensively on a variable-rate irrigation (VRI) DSS implemented in its patented Irrigation Scheduling Supervisory Control and Data Acquisition (ISSCADA) system (Evett et al, 2014). The theory and development of the DSS was discussed by Evett et al (2020b). Both plant and soil water sensors and research-based algorithms were integrated into the DSS and automated irrigation control system.…”

Section: Irrigation Systems (Sprinkler Surface Gravity and Microirrigation)mentioning

confidence: 99%

Beyond 2020, Vision of the Future: Selected Papers from the Sixth Decennial National Irrigation Symposium

Lamm¹,

Dukes²,

Stone³

et al. 2021

Self Cite

HighlightsASABE/IA 6th National Irrigation Symposium includes 80 papers, with 36 introduced here in this Special Collection.Papers include current irrigation research about ET, management, turf systems, technology, humid region, water supply.Irrigation in the U.S. is growing more rapidly in humid regions, and pressurized irrigation continues to grow in usage.There has been much progress in irrigation science in the last decade, and the vision of the future looks bright.Abstract. This article introduces the ASABE Special Collection associated with the 6th Decennial National Irrigation Symposium: Beyond 2020, Vision of the Future. This U.S. symposium, jointly sponsored by ASABE and the Irrigation Association in December 2021, was postponed from 2020 due to the pandemic and consists of approximately 80 presentations, of which 36 were accepted as journal articles for this Special Collection. Irrigated land area appears to be growing slightly in the U.S. but is shifting geographically somewhat toward humid regions. Pressurized irrigation continues to grow, and gravity-fed irrigation continues to decline. Competition for stressed water resources among diverse water users remains great, and smaller numbers of irrigation scientists are available to meet the informational needs. Improved ability to acquire, assess, and use water and crop information helps to meet these challenges. This article discusses irrigation research progress in evapotranspiration (ET), irrigation management, turf systems, sensors and technologies, irrigation strategies in the humid region, and water supply. Challenges and opportunities continue to exist for irrigation in the U.S., but progress in the last decade has been steady, and a good vision for the future of irrigation beyond 2020 is anticipated. Keywords: Evapotranspiration, Irrigation, Irrigation management, Irrigation scheduling, Irrigation systems, Turf and landscape irrigation.