Application of fuzzy logic to land suitability for rubber production in peninsular Thailand

Ranst, Éric Van; Tang, Honglei; Groenemam, R.; Sinthurahat, Somyot

doi:10.1016/0016-7061(95)00061-5

Cited by 84 publications

(51 citation statements)

References 4 publications

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“…5,6). A comparison between our results with the findings of other researchers (Tang et al 1991(Tang et al , 1992Van Ranst et al 1996;Sanchez 2007;Joss et al 2008;Keshavarzi and Sarmadian 2009;Bagherzadeh and Mansouri Daneshvar 2011) revealed that both models have enough accuracy and capability for land evaluation. The results of our study showed that both models declare land units variations clearly based on land qualities/characteristics and can determine the accurate variations among the land units.…”

Section: Model Validationsupporting

confidence: 84%

Modeling land suitability evaluation for wheat production by parametric and TOPSIS approaches using GIS, northeast of Iran

Bagherzadeh

Gholizadeh

2016

Model. Earth Syst. Environ.

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Land evaluation is the process of predicting land use potential on the basis of its attributes. In the present study, the qualitative land suitability evaluation by parametric and TOPSIS models was investigated for irrigated wheat crop based on FAO land evaluation frameworks (FAO 1976a(FAO , b, 1983(FAO , 1985 and the proposed methods by Sys et al. (1991b) and Hwang and Yoon (1981) in Joveyn plain, Northeast of Iran. Some 26 land units were studied at the study area by a precise soil survey and their morphological and physicochemical properties. The climatic and land qualities/characteristics for wheat crop were determined using the tables of soil and crop requirements developed by Sys et al. (1993). An interpolation function was used to map values to scores in terms of land qualities/ characteristics for the land utilization type and the evaluation was carried out according to parametric and TOPSIS models. Our results indicated that the most limiting factor for wheat cultivation in the study area was soil fertility properties. The values of land indexes by parametric model ranged from 62.71 in some parts in east and west to 87.24 in the middle parts of the study area, which categorized the plain from moderate (S2) to high (S1) suitable classes. The TOPSIS preference values for wheat cultivation in the study area varied between 0.438 and 0.916 which categorized from moderate to very high classes for wheat production. The coefficient of determination between the parametric land index values and the corresponding TOP-SIS preference values revealed a high correlation (R 2 = 0.961) between two models. The correlation coefficient (R 2 ) between the parametric land indexes and TOPSIS preference values with the observed wheat yield varied between 0.943 and 0.861, respectively, which verify the validation of both models in estimating land suitability for irrigated wheat production in the study area.

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Section: Model Validationsupporting

confidence: 84%

Modeling land suitability evaluation for wheat production by parametric and TOPSIS approaches using GIS, northeast of Iran

Bagherzadeh

Gholizadeh

2016

Model. Earth Syst. Environ.

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“…Outras abordagens também têm sido aplicadas na elaboração de estudos de avaliação do potencial das terras, como os sistemas especialistas (YIZENGAW & VERHEYE, 1995;CHAGAS et al, 2006); análise multicritério (ZHANG et al, 2004;BARROS et al, 2007); lógica fuzzy ( VAN RANST et al, 1996;BRAI-MOH et al, 2004); e análise multivariada (AGAR et al, 1995;SILVA et al, 2007).…”

Section: Geotecnologias Aplicadas Ao Zoneamento Agroecológico Do Estaunclassified

Geotecnologias aplicadas ao Zoneamento Agroecológico do estado do Mato Grosso do Sul

et al. 2014

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RESuMO:O trabalho teve como objetivo apresentar uma proposta metodológica para o zoneamento agroecológi-co do Estado do Mato Grosso do Sul, tendo como estudo de caso o município de Bandeirantes. Foram utilizadas geotecnologias, tais como: imagens de satélite (Landast 5), sistema de posicionamento global, sistemas de informação geográfica, cartografia digital e software de processamento digital de imagens, visando construir parâmetros ambientais para uma análise integrada de dados, associados com atributos do terreno derivados de um modelo digital de elevação, dados de propriedades dos solos e de clima. Estas geotecnologias foram empregadas para calcular e espacializar o potencial natural de erosão das terras, a fertilidade natural, drenagem interna e a capacidade de retenção de umidade dos solos. A análise integrada dos parâmetros ambientais, do uso atual das terras e da espacialização da legislação ambiental,

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“…Fuzzy logic approaches have been used for a selected number of crops on limited study areas by other authors e.g. (Baja, Chapman, & Dragovich, 2002;Braimoh, Vlek, & Stein, 2004;Reshmidevi, Eldho, & Jana, 2009;Van Ranst, Tang, Groenemam, & Sinthurahat, 1996).…”

Section: Determination Of Crop Suitable Areasmentioning

confidence: 99%

A Comparison of Using Dominant Soil and Weighted Average of the Component Soils in Determining Global Crop Growth Suitability

Zabel¹,

Putzenlechner²,

Mauser³

2013

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Soil parameters represent key data input for crop suitability analysis. Soil databases are complex offering soil mapping units made up of various component soils. In the case of the Harmonized World Soil Database there can be up to 8 component soils per unit. In roughly 1/3 of soil mapping units, the additional component soils take up more than 50% of the pixel share value. The soil parameter value estimate, such as pH, salinity and organic carbon content, may differ between the value of the dominant soil component and the weighted average of the values of all component soil. Understanding the effect of these differences on crop model outputs may allow quantifying the error. In this study, we show the changes in crop suitability of 15 crops while using the parameter value estimates of the dominant soils versus a weighted average of the component soils. In the case of the latter, global crop suitability amounts to 54.5% of the earth's land surface-1% more than when using the values of just dominant soils. Intrinsic regional differences in the quality of the soil database influence the distribution of crop suitability classes especially in areas where share values of the dominant soil are low. The uncertainty range for the use of dominant versus component soils on the overall global crop suitability could be considered to be 1%, while that of each suitability class can amount to up to 4%.

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Application of fuzzy logic to land suitability for rubber production in peninsular Thailand

Cited by 84 publications

References 4 publications

Modeling land suitability evaluation for wheat production by parametric and TOPSIS approaches using GIS, northeast of Iran

Modeling land suitability evaluation for wheat production by parametric and TOPSIS approaches using GIS, northeast of Iran

Geotecnologias aplicadas ao Zoneamento Agroecológico do estado do Mato Grosso do Sul

A Comparison of Using Dominant Soil and Weighted Average of the Component Soils in Determining Global Crop Growth Suitability

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