A Fuzzy Decision Support System for irrigation and water conservation in agriculture

Environmental Modelling and Software

Volumn 63, Issue , 2015, Pages 73-86

  Giusti, E ^a,b   Marsili Libelli, S ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

^b ATI srl   (Italy)

Author keywords

Climate changes; Decision support systems; Fuzzy inference systems; Fuzzy modelling; Irrigation management

Indexed keywords

DECISION SUPPORT SYSTEMS;

FUZZY DECISION SUPPORT SYSTEM; FUZZY INFERENCE SYSTEMS; FUZZY MODELLING; IRRIGATION MANAGEMENT;

CLIMATE CHANGE;

EID: 84908407361     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2014.09.020     Document Type: Article

References (30)

1. Abony J. Fuzzy Model Identification for Control 2003, 273. Birkhäuser, Boston.
2. Allen R.G., Pereira L.S., Raes D., Smith M. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements 1998, FAO Irrigation and Drainage Paper 56, Rome, Italy.
3. Aumann C.A. Constructing model credibility in the context of policy appraisal. Environ. Model. Softw. 2011, 26:258-265.
4. Aydinsakira K., Erdala S., Buyuktasb D., Bastugb R., Tokera R. The influence of regular deficit irrigation applications on water use, yield, and quality components of two corn (Zea mays L.) genotypes. Agric. Water Manag. 2013, 128:65-71.
5. Babuska R. Fuzzy Modeling for Control 1998, 260. Kluver Publ. Co., Amsterdam.
6. Babuska R. Fuzzy Modeling and Identification Toolbox for Use with MATLAB 1998, Lecture Notes, Available on the Net at. http://lcewww.et.tudelft.nl/babuska.
7. Bezdek J.C. Pattern Recognition with Fuzzy Objective Function Algorithms 1981, 256. Plenum Press, New York.
8. Chen Y., Paydar Z. Evaluation of potential irrigation expansion using a spatial fuzzy multi-criteria decision framework. Environ. Model. Softw. 2012, 38:147-157.
9. David M.O., Rob D.F., Michael W., Chris J.H., Heathwaite A.L., Dave R.C. Valuing local knowledge as a source of expert data: farmer engagement and the design of decision support systems. Environ. Model. Softw. 2012, 36:76-85.
10. Fais A., Nino P., Dono G., Severini S., Bazzoffi P., Napoli R., Giannerini G., Turchi A., Giovacchini A., Minelli U., Perini L. MONIDRI - a participatory IDSS for water use management in agriculture at river basin level. IFAC Workshop on Modelling and Control for Participatory Planning and Managing Water Systems, Venice, 29th Sept.-1st Oct. 2004 2004.
11. Garcia y Garcia A., Guerra L.C., Hoogenboom G. Water use and water use efficiency of sweet corn under different weather conditions and soil moisture regimes. Agric. Water Manag. 2009, 96:1369-1376.
12. Ge Y., Li X., Huang C., Nan N. Adecision support system for irrigation water allocation along the middle reaches of the Heihe River Basin, Northwest China. Environ. Model. Softw. 2013, 47:182-192.
13. Giusti E., Marsili-Libelli S. Fuzzy modelling of the composting process. Environ. Model. Softw. 2010, 25:641-647.
14. Guariso G., Rinaldi S., Soncini-Sessa Decision support system for water management: the Lake Como case-study. Eur. J. Oper. Res. 1985, 21:295-306.
15. Inman D., Blind M., Ribarova I., Krause A., Roosenschoon O., Kassahun A., Scholten H., Arampatzis G., Abrami G., McIntosh B., Jeffrey P. Perceived effectiveness of environmental decision support systems in participatory planning: evidence from small groups of end-users. Environ. Model. Softw. 2011, 26:302-309.
16. Lehmann N., Finger R. Economic and environmental assessment of irrigation water policies: a bioeconomic simulation study. Environ. Model. Softw. 2014, 51:112-122.
17. Mannini P., Genovesi R., Letterio T. IRRINET: large scale DSS application for on-farm irrigation scheduling. Procedia Env. Sci. 2013, 19:823-829.
18. Matthews K.B., Rivington M., Blackstock K.L., McCrum G., Buchan K., Miller D.G. Raising the bar? The challenges of evaluating the outcomes of environmental modelling and software. Environ. Model. Softw. 2011, 26:247-257.
19. McCarthy A.C., Hancock N.H., Raine S.R. Simulation of irrigation control strategies for cotton using model predictive control within the VARIwise simulation framework. Comput. Electron. Agric. 2014, 101:135-147.
20. McIntosh B.S., Ascough J.C., Twery M., Chew J., Elmahdl A., Haase D., Harou J.J., Hepting D., Cuddy S., Jakeman A.J., Chen S., Kassahun A., Lautenbach S., Mathews K., Merrit W., Quinn N.W., Rodriguez-Roda I., Sieber S., Stavenga M., Sulis A., et al. Environmental decision support systems (EDSS) development e challenges and best practices. Environ. Model. Softw. 2011, 26:1389-1402.
21. Merot A., Bergez J.-E. IRRIGATE: a dynamic integrated model combining a knowledge-based model and mechanistic biophysical models for border irrigation management. Environ. Model. Softw. 2010, 25:421-432.
22. Paredes P., Rodrigues G.C., Alves I., Pereira L.S. Partitioning evapotranspiration, yield prediction and economic returns of maize under various irrigation management strategies. Agric. Water Manag. 2014, 135:27-39.
23. Portoghese I., D'Agostino D., Giordano R., Scardigno A., Apollonio C., Vurro M. An integrated modelling tool to evaluate the acceptability of irrigation constraint measures for groundwater protection. Environ. Model. Softw. 2013, 46:90-103.
24. Rossi F., Nardino M., Mannini P., Genovesi R. IRRINET Emilia Romagna: online decision support on irrigation. Online agrometeological applications with decision support on the farm level. Cost Action 2004, 2004(718):99-102.
25. Shivakumar H.K., Ramachandrappa B.K., Mudalagiriyappa H.V.N. Effect of phenophase based irrigation schedules on growth, yield and quality of baby corn (Zea mays L.). Agric. Sci. 2011, 2:267-272.
26. Stone P.J., Wilson D.R., Reid J.B., Gillespie R.N. Water deficit effects on sweet corn. I. Water use, radiation use efficiency, growth, and yield. Aust. J. Agric. Res. 2001, 52:103-113.
27. Takagi T., Sugeno M. Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybern. 1985, 15:116-132.
28. van Delden H., Seppelt R., White R., Jakeman A.J. Amethodology for the design and development of integrated models for policy support. Environ. Model. Softw. 2011, 26:266-279.
29. van Oel P.R., Krol M.S., Hoekstra A.Y., Taddei R.R. Feedback mechanisms between water availability and water use in a semi-arid river basin: a spatially explicit multi-agent simulation approach. Environ. Model. Softw. 2010, 25:433-443.
30. Yager R.R., Filev D.P. Essentials of Fuzzy Modeling and Control 1994, 408. John Wiley & Sons.