A mixture neural methodology for computing rice consumptive water requirements in Fada N'Gourma Region, Eastern Burkina Faso

Paddy and Water Environment

Volumn 8, Issue 2, 2010, Pages 165-173

  Traore, Seydou ^a   Wang, Yu Min ^a   Kan, Chun E ^b   Kerh, Tienfuan ^a   Leu, Jan Mou ^c  

^a NATIONAL PINGTUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b Chi Seng Water Management Research and Development Foundation   (Taiwan)

^c NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Neural network; Rice consumptive water requirements; Semiarid regions; Water management plans

Indexed keywords

CROP PRODUCTION; EVAPOTRANSPIRATION; PRINCIPAL COMPONENT ANALYSIS; RAINFALL; SEMIARID REGION; WATER MANAGEMENT; WATER RESOURCE; WATER USE;

BURKINA FASO; FADA-NGOURMA;

EID: 77953363038     PISSN: 16112490     EISSN: 16112504     Source Type: Journal    
DOI: 10.1007/s10333-009-0195-5     Document Type: Article

References (34)

1. Allen RG (1996) Assessing integrity of weather data for use in reference evapotranspiration estimation. J Irrig Drain Eng 122(2): 97-106.
2. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration, guideline for computing water requirements. Irrigation drainage paper no 56. FAO, Rome, Italy.
3. Alp M, Cigizoglu HK (2007) Suspended sediment load simulation by two artificial neural network methods using hydrometeorological data. Environ Model Softw 22: 2-13.
4. Brouwer C, Heibloem M (1986) Irrigation water management training manual no. 3: irrigation water needs. Agriculture Organization of the United Nations, Rome, Italy.
5. Cob MA, Juste TM (2004) A wind-based qualitative calibration of the Hargreaves ET0 estimation equation in semiarid regions. Agric Water Manage 64: 251-264.
6. Doorenbos J, Pruitt WO (1977) Crop water requirement. Irrigation and drainage paper no 33. FAO, Rome, Italy.
7. Fang WT, Chu HJ, Cheng BY (2009) Modeling waterbird diversity in irrigation ponds of Taoyuan, Taiwan using an artificial neural network approach. Paddy Water Environ 7: 209-216.
8. Gavilan P, Castillo-Llanque F (2009) Estimating reference evapotranspiration with atmometers in a semiarid environment. Agric Water Manage 96: 465-472.
9. Goyal RK (2004) Sensitivity of evapotranspiration to global warming: a case study of arid zone of Rajasthan (India). Agric Water Manage 69: 1-11.
10. Izaurralde RC, Rosenberg NJ, Brown RA, Thomson AM (2003) Integrated assessment of Hadley Center (HadCM2) climate-change impacts on agricultural productivity, irrigation water supply in the conterminous United States Part II. Regional agricultural production in 2030 and 2095. Agric For Meteorol 117: 97-122.
11. Kalteh AM, Hjorth P, Berndtsson R (2008) Review of the self-organizing map (SOM) approach in water resources: Analysis, modelling and application. Environ Model Softw 23: 835-845.
12. Khoob AR (2008) Artificial neural network estimation of reference evapotranspiration from pan evaporation in a semi-arid environment. Irrig Sci 27(1): 35-39.
13. Kişi O (2006) Generalized regression neural networks for evapotranspiration modelling. Hydrol Sci J 51(6): 1092-1104.
14. Kumar M, Raghuwanshi NS, Singh R, Wallender WW, Pruitt WO (2002) Estimating evapotranspiration using artificial neural network. J Irrig Drain Eng 128(4): 224-233.
15. Li S, Kang S, Li F, Zhang L (2008) Evapotranspiration and crop coefficient of spring maize with plastic mulch using eddy covariance in northwest China. Agric Water Manage 95: 1214-1222.
16. Meza FJ (2005) Variability of reference evapotranspiration and water demands. Glob Planet Change 47: 212-220.
17. Nwite JC, Igwe CA, Wakatsuki T (2008) Evaluation of sawah rice management system in an inland valley in southeastern Nigeria. I: Soil chemical properties and rice yield. Paddy Water Environ 6: 299-307.
18. Panigrahi B, Panda SN, Mal BC (2007) Rainwater conservation and recycling by optimal size on-farm reservoir. Resour Conserv Recycl 50: 459-474.
19. Parasuraman K, Elshorbagy A, Carey SK (2007) Modelling the dynamics of the evapotranspiration process using genetic programming. J Hydrol Sci 52(3): 563-578.
20. Pereira LS, Cai LG, Hann MJ (2003) Farm water and soil management for improved water use in the North China plain. Irrig Drain 52: 299-317.
21. Perret S (2006) Climate change and African agriculture. Policy note no. 36. Center for Environmental Economics and Policy in Africa (CEEPA), University of Pretoria, South Africa, 6 pp.
22. Rattan SSP, Hsieh WW (2005) Complex-valued neural networks for nonlinear complex principal component analysis. Neural Netw 18: 61-69.
23. Sudheer KP, Gosain A, Ramasastri KS (2003) Estimating actual evapotranspiration from limited climatic data using neural computing technique. J Irrig Drain Eng 129(3): 214-218.
24. Traore S, Wang YM, Kerh T, Ouedraogo A (2007) Application of CROPWAT simulation model for rainfed and irrigated agriculture water planning in Burkina Faso. J Int Coop 2(1): 43-64.
25. Traore S, Wang YM, Kerh T (2008a) Generalized regression neural network for estimating reference evapotranspiration based on limited climatic variables in the Sahelian region of Burkina Faso. J Int Coop 3(1): 38-55.
26. Traore S, Wang YM, Kerh T (2008b) Modeling reference evapotranspiration by generalized regression neural network in semiarid zone of Africa. WSEAS Trans Inf Sci Appl 6(5): 991-1000.
27. Tung CP, Hong NM, Li M (2009) Interval number fuzzy linear programming for climate change impact assessments of reservoir active storage. Paddy Water Environ 7: 349-356.
28. Vemuri VR (1992) Artifical neural networks: concepts and control application. IEEE Computer Society Press, Los Alamitos.
29. Wang YM, Traore S (2009) Time-lagged recurrent network for forecasting episodic event suspended sediment load in typhoon prone area. Int J Phys Sci 4(9): 519-528.
30. Wang YM, Traore S, Kerh T (2008a) Computing and modeling for crop yields in Burkina Faso based on climatic data information. WSEAS Trans Inf Sci Appl 5(7): 832-842.
31. Wang YM, Traore S, Kerh T (2008b) Neural network approach for estimating reference evapotranspiration from limited climatic data in Burkina Faso. WSEAS Trans Comput 6(7): 704-713.
32. Wang YM, Traore S, Kerh T (2009a) Applying evapotranspiration reference model and rainfall contribution index for agricultural water. Afr J Agric Res 4(12): 1493-1504.
33. Wang YM, Traore S, Kerh T (2009b) Computational performance of reference evapotranspiration in semiarid zone of Africa. Sci Res Essay 4(6): 577-583.
34. Zanetti SS, Sousa EF, Oliveira VPS, Almeida FT, Bernardo S (2007) Estimating evapotranspiration using artificial neural network and minimum climatological data. J Irrig Drain Eng 133(2): 83-89.