scholarly journals Combining Site Specific Data with Geospatial Analysis to Identify Variable Rate Irrigation Opportunities in Irrigated Agricultural Fields.

2014 ◽  
Keyword(s):  
Geospatial Analysis ◽  
Agricultural Fields ◽  
Variable Rate ◽  
Site Specific ◽  
Specific Data ◽  
Variable Rate Irrigation

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

2020 ◽  
Vol 63 (5) ◽  
pp. 1521-1533
Author(s):  
Manuel A. Andrade ◽  
Susan A. O’Shaughnessy ◽  
Steven R. Evett
Keyword(s):  
Decision Support ◽  
Supervisory Control ◽  
Irrigation Scheduling ◽  
Variable Rate ◽  
Site Specific ◽  
Sensing Systems ◽  
Center Pivot ◽  
Water Sensing ◽  
Friendly Graphical User Interface ◽  
Variable Rate Irrigation

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

Assessment of Field Spatial and Temporal Variabilities to Delineate Site-Specific Management Zones for Variable-Rate Irrigation

2017 ◽  
Vol 143 (9) ◽  
pp. 04017037 ◽  
Author(s):  
Aghil Yari ◽  
Chandra A. Madramootoo ◽  
Shelley A. Woods ◽  
Viacheslav I. Adamchuk ◽  
Hsin-Hui Huang
Keyword(s):  
Variable Rate ◽  
Site Specific ◽  
Management Zones ◽  
Specific Management ◽  
Variable Rate Irrigation

Dynamic prescription maps for site-specific variable rate irrigation of cotton

2015 ◽  
Vol 159 ◽  
pp. 123-138 ◽  
Author(s):  
Susan A. O’Shaughnessy ◽  
Steven R. Evett ◽  
Paul D. Colaizzi
Keyword(s):  
Variable Rate ◽  
Site Specific ◽  
Specific Variable ◽  
Variable Rate Irrigation

scholarly journals Potential Water Conservation Using Site-Specific Variable Rate Irrigation

2019 ◽  
Vol 35 (6) ◽  
pp. 881-888
Author(s):  
Kenneth C Stone ◽  
Philip J Bauer ◽  
Gilbert C Sigua
Keyword(s):  
Water Conservation ◽  
Irrigation Management ◽  
Field Capacity ◽  
Weather Conditions ◽  
Variable Rate ◽  
Water Usage ◽  
Site Specific ◽  
Management Zones ◽  
Water Holding ◽  
Variable Rate Irrigation

Abstract. Site-specific variable-rate irrigation (VRI) systems can be used to spatially manage irrigation within sub-field-sized zones and optimize spatial water use efficiency. The goal of the research is to provide farmers and consultants a tool to evaluate the potential benefits of implementing VRI. The specific objective of this research is to evaluate the potential water savings using VRI management compared with uniform irrigation management to maintain soil water holding capacity above 50% depletion using two irrigation scenarios: 1) a standard 12.5 mm irrigation per application; and 2) an application to refill the soil profile to field capacity. A 21-year simulation study was carried out on a selected field with varying degrees of soil and topographic variability. The simulated field had 12 soil mapping units with water holding capacities in the top 0.30-m ranging from 42 to 70 mm. The 21-year simulation covering all weather conditions for each soil produced only two significantly different irrigation management zones for scenario 1, and for scenario 2 only one management zone. However, when the 21-year period was divided into periods with different ratios of rainfall to reference evapotranspiration, the simulations identified 1 to 5 management zones with significantly different irrigation requirements. These results indicate that variable rate irrigation system design and management should not be solely based on long term average weather conditions. Years with differing weather conditions should be used for potentially identifying management zones for VRI systems. Irrigation application depths between management zones ranged from 17 to 38 mm. However, when the actual soil areas of the study field were utilized to calculate the total volume of irrigation water applied, it resulted in an increase in water usage in the 2 and 4 management zones ranging from -1.2% to 5.8%. Water usage with VRI over uniform irrigation was greater by -1.6% to 6.8% in the 12.5 mm irrigations and by -1.2% to 2.2% for the field capacity irrigations Keywords: Management zones, Precision farming, Variable-rate irrigation, Water conservation.

Spatial irrigation scheduling for variable rate irrigation

2010 ◽  
pp. 97-101 ◽  
Author(s):  
C.B. Hedley ◽  
S. Bradbury ◽  
J. Ekanayake ◽  
I.J. Yule ◽  
S. Carrick
Keyword(s):  
Irrigation Scheduling ◽  
Variable Rate ◽  
Site Specific ◽  
Specific Management ◽  
Variable Rate Irrigation

Recent unprecedented demands on freshwater for irrigation have led to over-allocations and restrictions. Variable rate irrigation (VRI) aims to optimise scheduling according to soil differences using irrigation prescription maps coupled with software-driven variable rate irrigators and individual sprinkler control for site specific management.

Application of private site-specific data to regional evaluation of earthquake and faulting potential in Southern California

1982 ◽  
Author(s):  
D.L. Lamar ◽  
J. L. Smith ◽  
J. W. La Violette ◽  
K. Custis ◽  
P.J. Scrivner
Keyword(s):  
Southern California ◽  
Site Specific ◽  
Specific Data
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