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

2020 ◽  
Vol 63 (5) ◽  
pp. 1535-1547
Author(s):  
Manuel A. Andrade ◽  
Susan A. O’Shaughnessy ◽  
Steven R. Evett
Keyword(s):  
Information System ◽  
Decision Support ◽  
Geographic Information System ◽  
Soil Water ◽  
Irrigation Management ◽  
Plant Stress ◽  
Geographic Information ◽  
Variable Rate ◽  
Center Pivot ◽  
Water Sensing

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.

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

scholarly journals Realization of a Geographic Information System for aid decision-making for forest management

2020 ◽  
Vol 2 (02) ◽  
pp. 175-180
Author(s):  
Djelloul Benatiallah ◽  
Halima Hidaoui ◽  
Bahous Nasri ◽  
Kada Bouchouicha ◽  
Ali Benatiallah
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Information System ◽  
Decision Support ◽  
Geographic Information System ◽  
Satellite Images ◽  
Geographic Information ◽  
Dialogue Process ◽  
Current Context ◽  
Aid Decision

This work aims to create a decision support and geographic information system aimed at optimizing the management of forest capital in the Adrar region. Through this awareness, we question the place of geographic information in the dialogue process and the approach to sustainable development. Cadastral data, satellite images, cartographic and photographic data will be presented. Data processing and data integration will be discussed. The expected results must provide knowledge beyond reach without these tools. They clarify the importance of satellite images and the spatial component of geographic information. In the current context of sustainable development, geographic information appears necessary for decision-making.

Geographic information system (GIS) based decision support for neighbourhood traffic calming

2005 ◽  
Vol 32 (1) ◽  
pp. 86-98 ◽  
Author(s):  
Todd A Randall ◽  
Cameron J Churchill ◽  
Brian W Baetz
Keyword(s):  
Information System ◽  
Decision Support ◽  
Geographic Information System ◽  
Geographic Information ◽  
Sustainable Transportation ◽  
Personal Safety ◽  
Suburban Areas ◽  
Automobile Dependence ◽  
Traffic Calming ◽  
Transportation Modes

In suburban areas, traffic issues are generally related to elevated speeds and volumes and a perceived reduction in personal safety. In response, traffic engineers have designed and implemented a variety of traffic calming measures for local and collector streets, with significant speed reductions and other benefits. Less common are measures to address traffic issues on arterials which (if implemented) might reduce speeds, thereby encouraging more sustainable transportation modes and lessening automobile dependence. A geographic information system (GIS) based tool has been developed to provide decision support for the development of neighbourhood traffic calming plans for all street types. This tool is potentially useful because of the increased use of traffic calming measures and the growing public desire for safer streets. Decision support (provided by the tool) is dependent upon measured or perceived problems, roadway type, and user objectives, as well as the potential impacts and current installation costs of traffic calming measures. An application to suburban Hamilton demonstrates the functionality of this tool.Key words: traffic calming, suburban retrofitting, urban sustainability, decision support system.

scholarly journals Analysis of the Hungarian Hydrocarbon Industry’s Accidents and their Demonstration with GIS

2020 ◽  
Vol 25 (3) ◽  
pp. 267-273
Author(s):  
András Tóth
Keyword(s):  
Information System ◽  
Decision Support ◽  
Geographic Information System ◽  
Disaster Management ◽  
Fire Service ◽  
Geographic Information ◽  
Management Decision ◽  
Industrial Activities ◽  
Management Decision Support

AbstractFrom its beginning until today the Hungarian hydrocarbon industry has suffered more than seventy bigger accidents where intervention of the fire service and thorough examination was required. In the article the author presents the short analysis of accidents that were collected, systemized, and entered into database during the research, and their integration into the Geographic Information System (GIS). Based on the finished database, with the extended list of the locations’ GPS coordinates, the accidents will be entered into the ArcMap application. The publication of the accidents will be done with the help of Arcgis Viewer for Flex – Application Builder program. Following the GIS placement of accidents, testing, drawing conclusions and summarization are the main goals. The next step will be the preparation for assigning the database to the Disaster Management Decision Support Geographic Information System. Following the international publication, the long-term goal is the connection of each country’s files of dangerous industrial activities that were collected by researchers into one common database.

scholarly journals Geographic information system-based decision support for soil conservation planning in Tajikistan

2010 ◽  
Vol 65 (3) ◽  
pp. 151-159 ◽  
Author(s):  
E. Buhlmann ◽  
B. Wolfgramm ◽  
D. Maselli ◽  
H. Hurni ◽  
S. R. Sanginov ◽  
...  
Keyword(s):  
Information System ◽  
Decision Support ◽  
Geographic Information System ◽  
Conservation Planning ◽  
Soil Conservation ◽  
Geographic Information
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