scholarly journals Using Variable-Rate Alerting to Counter Boredom in Human Supervisory Control

Author(s):  
Armen A. Mkrtchyan ◽  
Jamie C. Macbeth ◽  
Erin T. Solovey ◽  
Jason C. Ryan ◽  
M. L. Cummings
2012 ◽  
Author(s):  
Armen A. Mkrtchyan ◽  
Jamie C. Macbeth ◽  
Erin T. Solovey ◽  
Jason C. Ryan ◽  
M. L. Cummings

2012 ◽  
Author(s):  
Andrew S. Clare ◽  
Jason C. Ryan ◽  
Kimberly F. Jackson ◽  
M. L. Cummings

2020 ◽  
Vol 63 (5) ◽  
pp. 1521-1533
Author(s):  
Manuel A. Andrade ◽  
Susan A. O’Shaughnessy ◽  
Steven R. Evett

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


Author(s):  
Ivan Kolesov ◽  
Peter Karasev ◽  
Grant Muller ◽  
Karol Chudy ◽  
John Xerogeanes ◽  
...  

2018 ◽  
Vol 9 (1) ◽  
pp. 193-203 ◽  
Author(s):  
Woodrow Barfield

Abstract In the backdrop of increasingly intelligent machines, important issues of law have been raised by the use of robots that operate autonomous from human supervisory control. In particular, when systems operating with autonomous robot’s damage property or injure humans, it may be difficult to determinewho’s at fault and therefore liable under current legal schemes. This paper reviews product liability and negligence tort law which may be used to allocate liability for robots that damage property or cause injury. Further, the paper concludes with a discussion of different approaches to allocating liability in an age of increasingly intelligent and autonomous robots directed by sophisticated algorithms, analytical, and computational techniques


2006 ◽  
Vol 19 (6) ◽  
pp. 679-694 ◽  
Author(s):  
N.A. Stanton ◽  
M.J. Ashleigh ◽  
A.D. Roberts ◽  
F. Xu

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