| 基于Binary Logistic模型的棉花出苗情况建模 |
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| 引用本文： | 马亮,魏光辉,曹伟. 基于Binary Logistic模型的棉花出苗情况建模[J]. 节水灌溉, 2012, 0(5): 63-66 |
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| 作者姓名： | 马亮 魏光辉 曹伟 |
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| 作者单位： | 1. 新疆农业大学水利与土木工程学院,乌鲁木齐,830052
2. 新疆水利水电科学研究院,乌鲁木齐,830049 |
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| 基金项目： | 新疆农业大学校前期资助课题，新疆农业大学/教育部棉花工程研究中心基金，新疆高校青年教师科研培育基金项目，新疆水利水电工程重点学科基金 |
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| 摘 要： | 为了科学、合理地做好盐渍土条件下的棉花出苗预测工作,以便为当地农业生产提供一定借鉴。以新疆巴音郭楞蒙古自治州为例,利用所采集土样中的盐分离子数据以及Binary Logistic模型,模拟不同盐分离子组成时棉花出苗情况。结果表明:当利用Binary Logistic模型对棉花出苗进行模拟时,模型通过了-2对数似然值检验,并且对测试样本有67.9%的模拟准确性。
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| 关 键 词： | Binary Logistic模型 棉花 盐分离子 |
Model for Cotton Emergence Based on Binary Logistic Model |
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| MA Liang,WEI Guang-hui,CAO Wei. Model for Cotton Emergence Based on Binary Logistic Model[J]. Water Saving Irrigation, 2012, 0(5): 63-66 |
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| Authors: | MA Liang WEI Guang-hui CAO Wei |
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| Affiliation: | 1.School of Water Resources & Civil Engineering,Xinjiang Agricultural University,Urumqi 830052,China; 2.Xinjiang Research Institute of Water Resources and Hydropower,Urumqi 830049,China) |
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| Abstract: | In order to scientifically and reasonably predict the cotton emergence under saline soil conditions to provide some reference for local agricultural production,the Bayinguoleng Mongolian autonomous prefecture in Xinjiang is taken as an example to simulate various salt ion composition for cotton by collecting soil samples of salt ion data and Binary Logistic model.The results show that when using Binary Logistic model for simulation of cotton,the model can pass-2 log likelihood values test and haves 67.9% simulation accuracy of the total samples. |
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| Keywords: | Binary Logistic model cotton salt ions |
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