A Decision Support System for smallholder campesino maize–cattle production systems of the Toluca Valley in Central Mexico. Part I—Integrating biological and socio-economic models into a holistic system

2003 ◽  
Vol 75 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Octavio A Castelán-Ortega ◽  
Roy H Fawcett ◽  
Carlos Arriaga-Jordán ◽  
Mario Herrero
Procedia CIRP ◽  
2021 ◽  
Vol 98 ◽  
pp. 348-353
Author(s):  
Rishi Kumar ◽  
Christopher Rogall ◽  
Sebastian Thiede ◽  
Christoph Herrmann ◽  
Kuldip Singh Sangwan

2019 ◽  
Vol 32 ◽  
pp. 100444 ◽  
Author(s):  
Katia Regina Evaristo de Jesus ◽  
Sérgio Alves Torquato ◽  
Pedro Gerber Machado ◽  
Catiana Regina Brumatti Zorzo ◽  
Bruno Oliveira Cardoso ◽  
...  

1997 ◽  
Vol 8 (4) ◽  
pp. 195-207 ◽  
Author(s):  
Santhanam Harit ◽  
G. Don Taylor ◽  
C. Ray Asfahl

2020 ◽  
Vol 116 ◽  
pp. 103190 ◽  
Author(s):  
Stefanos Doltsinis ◽  
Pedro Ferreira ◽  
Mohammed M. Mabkhot ◽  
Niels Lohse

2008 ◽  
Vol 15 (2) ◽  
pp. 77
Author(s):  
A. ASTOVER ◽  
H. ROOSTALU ◽  
M. MÕTTE

The success of the decision support systems, developed within GIS with application of different models, depends on the quality of initial data and the models themselves as well as on the possibilities of their linking. The aim of the present study was to analyse the application of different agro-economic models in a computer-based decision support system, developed for optimisation of agricultural land use and fertilisation, on the example of barley production of Kullamaa rural municipality in Estonia. The algorithms used in the agronomical models were obtained from the regression analysis of numerous field experiments. The calculated new agronomical values serve as a basis for the application of economic models. GIS and modelling remain as two separate systems with the capacity for information exchange between them. Profitability of barley cultivation varied in a very broad range in the study area. The optimal fertiliser amounts established for each field allow increasing crop productivity in the region and at the same time preventing environmental pollution due to production intensification. The proposed decision support system can be further supplemented by several agro-economic models and implemented throughout Estonia.;


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