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首页> 外文期刊>Cotton Reseach Journal >Soil Quality Assessment Using Fuzzy Modelling - A Case Study in Rainfed Cotton Growing Agro-ecological Sub-regions of Vidarbha, Maharashtra
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Soil Quality Assessment Using Fuzzy Modelling - A Case Study in Rainfed Cotton Growing Agro-ecological Sub-regions of Vidarbha, Maharashtra

机译：基于模糊模型的土壤质量评估-以马哈拉施特拉邦维达尔巴（Vidarbha）雨养棉种植农业生态子区为例

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摘要

A study was undertaken in soils of two major cotton growing agro-ecological sub-regions (AESR) of Vidarbha namely, AESR 6.3 and AESR 10.2 which constitute Akola district and Nagpur district respectively. Soil quality assessment for rainfed cotton cultivation from both the subregions was done using fuzzy modeling based method. Identification of minimum datasets governing cotton yield was done using expert system and available literature. The composite Soil Index (CSI) values were used to categorize soils into different suitability classes for rainfed cotton cultivation. The results indicate that highest composite soil index (CSI) was found in pedon 3 in AESR 6.3 and pedon 12 in AESR 10.2 and they are thus relatively good quality soils for rainfed cotton production. CSIs of AESR 10.2 had better correlation with average seed cotton yield as compared to those of AESR 6.3.
机译：在维达尔巴的两个主要的棉花种植农业生态分区（AESR）的土壤中进行了研究，这两个分区分别构成了阿科拉区和那格浦尔区的AESR 6.3和AESR 10.2。使用基于模糊模型的方法对两个分区的雨养棉种植进行了土壤质量评估。使用专家系统和现有文献，确定了控制棉花单产的最小数据集。复合土壤指数（CSI）值用于将土壤分类为雨养棉花种植的不同适用性类别。结果表明，在AESR 6.3的第3足和AESR 10.2的第12足发现了最高的复合土壤指数（CSI），因此它们是生产雨育棉的相对优质土壤。与AESR 6.3相比，AESR 10.2的CSI与平均籽棉产量具有更好的相关性。

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