Your search found 13 records
1 Thom, D. J.; Slack, D. C.; Lynham, M. B. 1985. Pre-feasibility study of irrigation development in Mauritania: For the generation of a proposal for agricultural development of the Dirol Plain, Senegal River Valley, Mauritania. Report of pre-feasibility study. v. p.
(Location: IWMI-HQ Call no: 631.7.8 G210 THO Record No: H02476)
2 Slack, D. C.; Geiser, K. M.; Stange, K. W.; Allred, E. R. 1981. Irrigation scheduling in subhumid areas with infrared thermometry. In American Society of Agricultural Engineers, Irrigation scheduling for water and energy conservation in the 80's. St. Joseph, MI, USA: ASAE. pp.116-124. (ASAE publication 23-81)
(Location: IWMI-HQ Call no: 631.7.1 G000 AME Record No: H03381)
3 Killen, M. A.; Slack, D. C.. 1987. Green-Ampt-model to predict surge irrigation phenomena. Journal of Irrigation and Drainage Engineering, 113(4):575-584.
(Location: IWMI-HQ Call no: PER Record No: H03671)
4 McConnen, R. J.; Slack, D. C.; Khan, I. H.; Haq. M. N. 1984. Bangladesh Agricultural Research Project Phase II: Report of the external evaluation team for the irrigation and water management program area. Dhaka, Bangladesh: BARC. 47p. (WM 15-84)
(Location: IWMI-HQ Call no: 631.7.8 G584 MCC Record No: H04379)
(Location: IWMI-HQ Call no: 631.7 G635 SLA Record No: H09071)
6 Scherer, T. F.; Slack, D. C.; Eshenaur, W. C. 1983. Automated data collection for irrigation scheduling using canopy-air temperature difference. Paper presented at the Winter Meeting, ASAE, Chicago, Illinois, 13-16 December 1983. 17p. (ASAE paper no.83-2587)
(Location: IWMI-HQ Call no: P 3994 Record No: H04124)
(Location: IWMI-HQ Call no: P 4014 Record No: H04122)
(Location: IWMI-HQ Call no: P 4109 Record No: H017663)
A water allocation model was developed to recommend allocation of irrigation water to different crop fields in a canal-based irrigation project. Model components are an irrigation scheduling program to predict irrigation water demands, a crop response model to compute crop yields, and a canal delivery model to check the physical feasibility of water delivery. Multiperiod linear programming is utilized to determine the optimal allocation strategy, which maximizes irrigation benefits. Allocation constraints are irrigation water demand, irrigation water availability, canal delivery capacity, minimum irrigation limitations, and crop response model limitations. The allocation model was validated using crop, soil, canal, and irrigation management data for MAC, a University of Arizona farm.
9 Martin, E. C.; Slack, D. C.; Pegelow, E. J. 1996. Crop coefficients for vegetables in Central Arizona. 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.381-386.
(Location: IWMI-HQ Call no: 631.7.1 G000 CAM Record No: H020606)
10 Martin, E. C.; Slack, D. C.; Fox, F. A.; Clark, L. J. 1996. Computerized irrigation scheduling programs for the US, Egypt and Mexico. In Zazueta, F. S. (Ed.), Sixth International Conference on Computers in Agriculture, Cancun, Mexico, June 1996. St. Joseph, MI, USA: ASAE. pp.79-84.
(Location: IWMI-HQ Call no: 001.6 G000 ZAZ Record No: H020757)
(Location: IWMI-HQ Call no: PER Record No: H021088)
(Location: IWMI-HQ Call no: PER Record No: H021090)
(Location: IWMI-HQ Call no: PER Record No: H035696)
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