Support vector machine-based open crop model (SBOCM) : case of rice production in China
المؤلفون المشاركون
Ying Xue, Su
Huan, Xu
Li Jiao, Yan
المصدر
Saudi Journal of Biological Sciences
العدد
المجلد 24، العدد 3 (31 مارس/آذار 2017)، ص ص. 537-547، 11ص.
الناشر
تاريخ النشر
2017-03-31
دولة النشر
السعودية
عدد الصفحات
11
التخصصات الرئيسية
الموضوعات
الملخص EN
Existing crop models produce unsatisfactory simulation results and are operationally complicated.
The present study, however, demonstrated the unique advantages of statistical crop models for large-scale simulation.
Using rice as the research crop, a support vector machinebased open crop model (SBOCM) was developed by integrating developmental stage and yield prediction models.
Basic geographical information obtained by surface weather observation stations in China and the 1:1000000 soil database published by the Chinese Academy of Sciences were used.
Based on the principle of scale compatibility of modeling data, an open reading frame was designed for the dynamic daily input of meteorological data and output of rice development and yield records.
This was used to generate rice developmental stage and yield prediction models, which were integrated into the SBOCM system.
The parameters, methods, error resources, and other factors were analyzed.
Although not a crop physiology simulation model, the proposed SBOCM can be used for perennial simulation and one-year rice predictions within certain scale ranges.
It is convenient for data acquisition, regionally applicable, parametrically simple, and effective for multi-scale factor integration.
It has the potential for future integration with extensive social and economic factors to improve the prediction accuracy and practicability.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ying Xue, Su& Huan, Xu& Li Jiao, Yan. 2017. Support vector machine-based open crop model (SBOCM) : case of rice production in China. Saudi Journal of Biological Sciences،Vol. 24, no. 3, pp.537-547.
https://search.emarefa.net/detail/BIM-761762
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ying Xue, Su…[et al.]. Support vector machine-based open crop model (SBOCM) : case of rice production in China. Saudi Journal of Biological Sciences Vol. 24, no. 3 (Mar. 2017), pp.537-547.
https://search.emarefa.net/detail/BIM-761762
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ying Xue, Su& Huan, Xu& Li Jiao, Yan. Support vector machine-based open crop model (SBOCM) : case of rice production in China. Saudi Journal of Biological Sciences. 2017. Vol. 24, no. 3, pp.537-547.
https://search.emarefa.net/detail/BIM-761762
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 546-547
رقم السجل
BIM-761762
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر