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作 者:王成德 吴保国[1] 刘建成[1] 韩焱云 WANG Cheng-de;WU Bao-guo;LIU Jian-cheng;HAN Yan-yun(School of Information Science and Technology/Beijing Forestry University,Beijing 100083,China)
出 处:《山东农业大学学报(自然科学版)》2018年第2期224-229,共6页Journal of Shandong Agricultural University:Natural Science Edition
基 金:"十二五"国家高技术研究发展计划(863计划)课题(2012AA102003)
摘 要:针对造林设计传统方式的不足和业务需求,设计了造林设计决策支持系统的功能结构、工作流程和数据库,并针对造林小班选择的核心问题,提出了基于小班流域的造林地智能选择算法。该算法将流域选择与面积控制、立地质量评价相结合,智能筛选造林小班,提高林地利用价值。本研究已在"863计划"课题"数字化森林与牧场经营管理关键技术研究"项目中进行了应用,并在内蒙古桦木沟林场和河北省塞罕坝机械林场进行实地运行,长期为林场提供造林设计服务。Because of the shortage and business requirement of the traditional way on afforestation design,the functional structure,workflow,and database of the afforestation design decision support system were designed.Here,the intelligent selection algorithm of woodland for the subcompartment catchment was put forward based on the core problem of the afforestation subcompartment selection.The catchment selection,area control and site quality assessment were combined by this algorithm,which screening the afforestation subcompartment intelligently and improving the use value of woodland.This study was applied in the project of‘The National High Technology Research and Development Program of China’(‘863 program’)and operated at Huamugou forest farm,Inner Mongolia and Saihanba machinery forest farm,Hebei province.Our study will provide valuable guidelines to long-term afforestation design services of forest farms.
分 类 号:TP391.3[自动化与计算机技术—计算机应用技术]
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