Your search found 10 records
1 Heermann, D. F.; Duke, H. R.; Buchleiter, G. W. 1988. Computer control of center pivot irrigation systems in Colorado and Oregon. In Proceedings of the International Conference on Irrigation System Evaluation and Water Management, Wuhan, China, 12-16 September 1988: Vols.1 & 2. Wuhan, China: Wuhan University of Hydraulic and Electrical Engineering. pp.991-1003.
Irrigation systems ; Computer techniques ; Monitoring / USA / Colorado / Oregon
Call no: 631.7.8 G000 PRO Record No: H06730)

2 Buchleiter, G. W.; Heermann, D. R.; Duke, H. R.. 1989. Improving management of center pivot irrigation systems. In Rydzewski, J. R.; Ward, C. F. (Eds.) Irrigation theory and practice. Proceedings of the International Conference, University of Southampton, 12-15 September. London: Pentech Press. pp.836-845.
Case studies ; Irrigation systems ; Sprinkler irrigation ; Irrigation management / USA / Colorado / Oregon
(Location: IWMI-HQ Call no: 631.7 G000 RYD Record No: H07564)

3 Heermann, D. F.; Duke, H. R.. 1992. Effective irrigation depth as a function of uniformity. In Feyen, J.; Mwendera, E.; Badji, M. (Eds.), Advances in planning, design and management of irrigation systems as related to sustainable land use: Proceedings of an International Conference organized by the Center for Irrigation Engineering of the Katholieke Universiteit Leuven in cooperation with the European Committee for Water Resources Management, Leuven, Belgium, 14-17 September 1992. Vol. 1. Leuven, Belgium: Center for Irrigation Engineering. pp.329-338.
Sprinkler irrigation ; Water control ; Water distribution ; Infiltration ; Simulation ; Evaluation ; Irrigation efficiency ; Irrigation requirements ; Mathematical models ; Cost benefit analysis / USA
(Location: IWMI-HQ Call no: 631.7.1 G000 FEY Record No: H014362)
The center pivot irrigator is faced with a problem of determining the appropriate depth of water application to use for management purposes to minimize both yield loss and water quality degradation. The distribution of irrigation depths of center-pivot systems often is evaluated with the Christiansen Uniformity coefficient. This single coefficient compares systems but does not provide a functional relationship of the variation of applied depths. The analysis of deficit and excess irrigation amounts requires a distribution function. The normal distribution function was found to describe field catch-can tests of center-pivot systems. The current study builds on the work of Peri, Hart, and Norum ('Optimal irrigation depths - A method of analysis.'. J. Irrig. and Drg. Div., ASCE 105(IR4):341-355. 1979), using the normal distribution of application depth and linear yield and economic functions to calculate the appropriate depth of application with known uniformity and user specified economic conditions. The potential savings from improving the uniformity is estimated. The optimum applied depths for center pivot systems vary from 0.6 to 1.5 times the mean depth depending on the system uniformity and management objectives.

4 Fraisse, C. W.; Heermann, D. F.; Duke, H, R.. 1992. Modified linear move system for experimental water application. In Feyen, J.; Mwendera, E.; Badji, M. (Eds.), Advances in planning, design and management of irrigation systems as related to sustainable land use: Proceedings of an International Conference organized by the Center for Irrigation Engineering of the Katholieke Universiteit Leuven in cooperation with the European Committee for Water Resources Management, Leuven, Belgium, 14-17 September 1992. Vol. 1. Leuven, Belgium: Center for Irrigation Engineering. pp.367-376.
Research ; Water distribution ; Irrigation equipment ; Flow regulators ; Sprinkler irrigation ; Mathematical models ; Monitoring ; Crop-based irrigation
(Location: IWMI-HQ Call no: 631.7.1 G000 FEY Record No: H014366)
The use of linear move system for experimental water application requires a control much more sophisticated than one for normal field operations. The problem increases in complexity when the field irrigated is divided into small research plots in both advance and lateral directions. The current study investigates the application of the concept of pulse irrigation as a way to apply the different water treatments required in a research field. A laboratory setup was built in which solenoid valves are used to control the flow to each spray head or set of spray heads. Results have shown that pulse irrigation is feasible with commercially available solenoid valves and that water distribution patterns are minimally affected by pulsing the system. They also show that the frequency of operation is limited by the valve's response time which can vary for the different brands and models available in the market.

5 Heermann, D. F.; Duke, H. R.; Buchleiter, G. W. 1994. Irrigation systems in transition: Center pivots and linear moves. Irrigation Journal, 44(2):16-20, 22-23.
Sprinkler irrigation ; Irrigation systems ; Irrigation equipment ; Irrigation management ; Automation / USA
(Location: IWMI-HQ Call no: PER Record No: H014689)

6 Duke, H. R.; Stetson, L. E.; Ciancaglini, N. C. 1990. Irrigation system controls. In Hoffman, G. J.; Howell, T. A.; Solomon, K. H. (Eds.), Management of farm irrigation systems. St. Joseph, MI, USA: ASAE. pp.265-312.
Irrigation systems ; Pumping ; Irrigation equipment ; Irrigation engineering ; Irrigation systems ; Pipes ; Control systems ; Water delivery ; On farm research
(Location: IWMI-HQ Call no: 631.7.8 G000 HOF Record No: H018311)

7 Buchleiter, G. W.; Heermann, D. F.; Duke, H. R.. 1995. Automation of variable irrigation water and chemical applications. In Clean water - Clean environment - 21st century: Team agriculture - Working to protect water resources: Conference proceedings, March 5-8, 1995, Kansas City, Missouri. Volume III: Practices, systems and adoption. St. Joseph, MI, USA: ASAE. pp.49-52.
Irrigation water ; Sprinkler irrigation ; Nitrogen ; Fertilizers ; Automation / USA
(Location: IWMI-HQ Call no: 333.91 G000 CLE Record No: H018785)

8 Bausch, W. C.; Duke, H. R.. 1996. Remote sensing of plant nitrogen status in corn. Transactions of the ASAE, 39(5):1869-1875.
Remote sensing ; Maize ; Plant growth ; Nitrogen ; Fertilizers ; Irrigated farming / USA
(Location: IWMI-HQ Call no: P 4452 Record No: H020232)

9 Duke, H. R.. 1996. COAGMET - Colorado Agricultural Meteorological Network. In Camp, C. R.; Sadler, E. J.; Yoder, R. E. (Eds.), Evapotranspiration and irrigation scheduling: Proceedings of the International Conference, November 3-6, 1996, San Antonio Convention Center, San Antonio, Texas. St. Joseph, MI, USA: ASAE. pp.704-709.
Irrigated farming ; Information systems ; Communication ; Networks ; Climate ; Soil temperature ; Precipitation ; Data collection ; Data transmission / USA / Colorado
(Location: IWMI-HQ Call no: 631.7.1 G000 CAM Record No: H020650)

10 Alam, M. U.; Duke, H. R.; Orendorff, W. 1996. ET information use by Colorado farmers. In Camp, C. R.; Sadler, E. J.; Yoder, R. E. (Eds.), Evapotranspiration and irrigation scheduling: Proceedings of the International Conference, November 3-6, 1996, San Antonio Convention Center, San Antonio, Texas. St. Joseph, MI, USA: ASAE. pp.928-932.
Evapotranspiration ; Irrigation management ; Irrigation scheduling ; Irrigated farming / USA / Colorado
(Location: IWMI-HQ Call no: 631.7.1 G000 CAM Record No: H020682)

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