Your search found 8 records
1 Ines, A. V. M.; Das Gupta, A.; Loof, R.; Abernethy, C. 2000. Estimating water productivity using GIS and crop models. In International Association for Hydraulic Engineering and Research (IAHR). Aisa and Pacific Division (APD). Sustainable water resources management: issues and future challenges. Proceedings of the 12th Congress of the Asia and Pacific Division of the International Association for Hydraulic Engineering and Research, Bangkok, Thailand, 13-16 November 2000. Volume IV - Water resources development and management. Bangkok, Thailand: Asian Institute of Technology (AIT). Regional Environmental Management Center (REMC). pp.1439-1448.
Water productivity ; Estimation ; GIS ; Models ; River basins ; Irrigated farming ; Plant growth ; Rice ; Maize / Philippines / Ilocos Norte / Laoag River Basin
(Location: IWMI HQ Call no: 333.91 G000 INT Record No: H027728)
2 Ines, A. V. M.; Droogers, P.; Makin, I. W.; Das Gupta, A. 2002. Crop growth and soil water balance modeling to explore water management options. Colombo, Sri Lanka: International Water Management Institute (IWMI) 26p. (IWMI Working Paper 022) [doi: https://doi.org/10.3910/2009.166]
Water management ; Decision support systems ; Performance evaluation ; Evapotranspiration ; Crop yield ; Crop growth ; Simulation models ; Water balance ; Optimization ; Flow ; Water stress ; Soil moisture
(Location: IWMI-HQ Call no: IWMI 631.7.1 G000 INE Record No: H029557)
(772 KB)
The study was on the performance of the decision support system for agrotechnology transfer (DSSAT) and the soil water atmosphere plant (SWAP) under an acid sulphate soil. The comparison of these models was done as a prerequisite to the selection of an appropriate model, which is capable of simulating water management scenarios, water balance and crop growth, to be coupled with an adaptive optimization algorithm that can be used to explore water management options
3 Ines, A. V. M.; Gupta, A. D.; Loof, R. 2002. Application of GIS and crop growth models in estimating water productivity. Agricultural Water Management, 54(3):205-225.
GIS ; Simulation models ; Water use efficiency ; Plant growth ; River basins ; Crop production ; Irrigated farming ; Maize ; Rice ; Water requirements ; Water conservation / Philippines / Ilocos Norte / Laoag River Basin / Luzon
(Location: IWMI-HQ Call no: PER Record No: H029724)
4 Ines, A. V. M.; Droogers, P. 2002. Inverse modelling in estimating soil hydraulic functions: A genetic algorithm approach. Hydrology and Earth System Sciences, 6(1):49-65.
Simulation models ; Soil properties ; Evapotranspiration ; Soil water ; Lysimetry ; Water balance ; Surface runoff ; Sensitivity analysis
(Location: IWMI-HQ Call no: IWMI 631.7.1 G000 INE Record No: H030314)
http://www.hydrol-earth-syst-sci.net/6/49/2002/hess-6-49-2002.pdf
https://vlibrary.iwmi.org/pdf/H_30314.pdf
https://vlibrary.iwmi.org/pdf/H_30314.pdf
5 Ines, A. V. M.; Clemente, R.; Droogers, P.; Gupta, A. D.; Honda, K. 2003. Exploring water management options using genetic algorithms: A case study of Bata Minor, Kaithal, Haryana, India. Contribution to the First International Conference on Hydrology and Water Resources in the Asia Pacific Region, Kyoto, Japan, March, 13-15, 2003. 7p.
Water management ; Models ; Optimization ; Water requirements ; Irrigated farming ; Water deficit ; Water distribution / India / Haryana / Kaithal
(Location: IWMI-HQ Call no: IWMI 631.7.1 G635 INE Record No: H030740)
6 Ines, A. V. M.. 2002. Improved crop production integrating GIS and genetic algorithms. Dissertation submitted to the School of Civil Engineering, Water Engineering and Management, Asian Institute of Technology, Bangkok, Thailand, in partial fulfillment of the requirements for the degree Doctor of Engineering. xvi, 207p.
GIS ; Simulation models ; Lysimetry ; Crop production ; Decision support tools ; Water management ; Irrigated farming ; Evapotranspiration ; Water balance / India / Haryana / Kaithal
(Location: IWMI-HQ Call no: D 631.7.1 G000 INE Record No: H032162)
7 Ines, A. V. M.; Honda, K. 2005. On quantifying agricultural and water management practices from low spatial resolution RS data using genetic algorithms: A numerical study for mixed-pixel environment. Advances in Water Resources, 28:856-870.
(Location: IWMI-HQ Call no: P 7546 Record No: H038860)
8 Ines, A. V. M.; Honda, K.; Gupta, A. D.; Droogers, P.; Clemente, R. S. 2006. Combining remote sensing-simulation modeling and genetic algorithm optimization to explore water management options in irrigated agriculture. Agricultural Water Management, 83:221-232.
Irrigated farming ; Remote sensing ; Simulation models ; Optimization ; Soil water ; Evapotranspiration / India / Haryana
(Location: IWMI-HQ Call no: P 7547 Record No: H038861)
Powered by DB/Text WebPublisher, from
