Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai...

16
Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.

Transcript of Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai...

Page 1: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.

Optimization of Land Usage with the Support of Fuzzy Based

Model

V. Honfi – R. P. Micsinai

University of Kaposvár, Faculty of Economic Science2006.

Page 2: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.

Hypothesis

To find the functions of the country we need to know:

• the ecological conditions of the land,

• the restrictive conditions, which influences the type of the usage,

• the economical conditions,

• the political and social environment.

Page 3: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.

An important question

Are the Information, which we are in possession of the examined territory,

fairly multiple and exact?

Page 4: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.

Grassland in different Databases (hectare-sized)

(1)- CORINE Land Cover 1:50000. Institute of Geodesy, Cartography and Remote Sensing (FÖMI, 1998)

(2)- Agriculture in Hungary, 2000. Central Statistical Office (KSH, 2000)(3)- Central Land Registry Database (FÖMI, 2005)

Settlement CORINE (1)

ÁMÖ 2000 (2)

CLRD (3)

Gamás - 43,65 160,96

Somogybabod - 35,25 9,02

Somogytúr - 66,67 257,89

Sum total 802 145,57 427, 87

Page 5: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.

Problem and solution

The statistical evaluation and Land Registry Data are not fairly exact

We can’t use this Data for strategic analysis. • We made a model, which consider the slope angle of the

territory and the quality of the arable land for the estimation of a territory.

• The attributes and result of the analysis are connected with plots,

• We can propose motions regard to the land usage of the plots.

Page 6: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.

The Model

• category values, as membership functions of fuzzy sets.

• Input Data:– slope,– quality of the land (gold

crown).  Quality index

Slope Good quality Middle grade Inferior quality

Flat Field Grassland Forest

Sloping Grassland Grassland Forest

Steep Forest Forest Forest

Page 7: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.

The prospective values

Page 8: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.

SettlementArable land (ha) (KSH)

Estimated grassland (ha)

%

Gamás 1768,38 597,53 33,8

Somogybabod 1465,49 275,51 18,8

Somogytúr 2499,92 947,46 37,9

Sum total 5733,79 1820,5 31,75

RESULTS

Page 9: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.

Checking the results

1. checked on a 790 hectares-sized territory based on specific outputs regarded as the critical level of production.

2. comparison with the results of SCALIS project.

/SCALIS- Somogy County Agricultural Information System made by Hemmis N.V. Belgium/

Page 10: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.

Controlling I.

• The field-registers (from 2000 to 2005) contanied: - the type of the usage, - production of the plants,

• the critical level of production: maize - 6,5 t/ha,

wheat - 4,5 t/ha,spring barley - 3,5 t/ha.

Page 11: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.
Page 12: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.

Controlling II.

• SCALIS- Conceptual model

Page 13: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.

• Using soil information (physical soil characteristics, water management and soil type), suitability matrices will be produced for a list of selected crops.

• For those crops where the relief is important as well (like vineyards and greenhouses), the information about the slope and the direction of the slope will be taken into account.

• Based on the slope, a soil erosion sensitivity map will be produced using the universal soil loss equation.

• The final result of the project is to get a structure plan for agriculture (Ecological view).

Page 14: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.
Page 15: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.

Conclusion

• The model elaborated by us, can be used to study the size of the territory suitable for the grassland.

• Not just the suitability for the grassland, but the possibility of alternative usage can be examined.

• The model can be used for planning the land usage in other regions.

• The results are promising,• The refinement of the model is possible on

bigger area.

Page 16: Optimization of Land Usage with the Support of Fuzzy Based Model V. Honfi – R. P. Micsinai University of Kaposvár, Faculty of Economic Science 2006.

Thank You for the interest!

[email protected]