Integration of artificial neural network and geographical information system for intelligent assessment of land suitability for the cultivation of a selected crop
作者： Farshid Farnood Ahmadi , Nasir Farsad Layegh
DOI: 10.1007/S00521-014-1801-Z
关键词:
摘要: The main objective of this study is to investigate the potential artificial neural network (ANN) for integration with geographical information system (GIS) assess suitability land cultivate a selected crop. For purpose, requirements intelligent assessment suitably were determined and architecture integrated was designed according capabilities ANN GIS. evaluation performance, case carried out in Mazandaran Province, located northern part Iran. In implemented study, four effective parameters crop cultivation utilized multilayer feed-forward back-propagation analysis. activation function hidden layer set log-sigmoid function. Designed trained using samples extracted from GIS database, 4-6-1 (4 input as layer, 6 neurons 1 target value representing level) structure shows best result. Evaluation that 83.43 % ANN's results are acceptable consistent real world.
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sci-hub.se 参考文章(42)
D L Civco, J Zhou, Using Genetic Learning Neural Networks for Spatial Decision Making in GIs Photogrammetric Engineering and Remote Sensing. ,vol. 52, pp. 1287- 1295 ,(1996)
Rachael A. McDonnell, Peter A. Burrough, Principles of Geographical Information Systems ,(1998)
R. Beale, T. Jackson, Neural Computing - An Introduction ,(1990)
FANGJU WANG, G. BRENT HALL, SUBARYONO, Fuzzy information representation and processing in conventional GIS software: database design and application International Journal of Geographic Information Systems. ,vol. 4, pp. 261- 283 ,(1990) , 10.1080/02693799008941546
Halil Akıncı, Ayşe Yavuz Özalp, Bülent Turgut, Agricultural land use suitability analysis using GIS and AHP technique Computers and Electronics in Agriculture. ,vol. 97, pp. 71- 82 ,(2013) , 10.1016/J.COMPAG.2013.07.006
Abdelkader Mendas, Amina Delali, Integration of MultiCriteria Decision Analysis in GIS to develop land suitability for agriculture: Application to durum wheat cultivation in the region of Mleta in Algeria Computers and Electronics in Agriculture. ,vol. 83, pp. 117- 126 ,(2012) , 10.1016/J.COMPAG.2012.02.003
M. Shahadat Hossain, Nani Gopal Das, GIS-based multi-criteria evaluation to land suitability modelling for giant prawn (Macrobrachium rosenbergii) farming in Companigonj Upazila of Noakhali, Bangladesh Computers and Electronics in Agriculture. ,vol. 70, pp. 172- 186 ,(2010) , 10.1016/J.COMPAG.2009.10.003
Daisaku Kawabata, Joel Bandibas, Landslide susceptibility mapping using geological data, a DEM from ASTER images and an Artificial Neural Network (ANN) Geomorphology. ,vol. 113, pp. 97- 109 ,(2009) , 10.1016/J.GEOMORPH.2009.06.006
Holger R. Maier, Graeme C. Dandy, The Use of Artificial Neural Networks for the Prediction of Water Quality Parameters Water Resources Research. ,vol. 32, pp. 1013- 1022 ,(1996) , 10.1029/96WR03529
L Bydekerke, E Van Ranst, L Vanmechelen, R Groenemans, Land suitability assessment for cherimoya in southern Ecuador using expert knowledge and GIS Agriculture, Ecosystems & Environment. ,vol. 69, pp. 89- 98 ,(1998) , 10.1016/S0167-8809(98)00090-5