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题名水稻机械化生产的发展趋势分析
被引量：10
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作者
宣云
王川
施六林
潘静
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机构
安徽省农业科学院农业工程研究所
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出处
《安徽农业科学》
CAS
2012年第3期1740-1740,1796,共2页
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基金
安徽农科院院长青年创新基金(010B1101)
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文摘
实现农业机械化是建设社会主义新农村和实现农业现代化的必然要求。我国目前农业机械化发展已取得了一定成效,水稻机械化进程取得较快发展,但仍存在农机、农机和农艺配套及农机社会化服务问题。因此,提出完善耕地权属体制、促进农机农艺融合、完善农机工艺、提升农机服务化水平等相应措施。最后,在"十一五"期间农业机械化发展的基础上,对"十二五"时期加快水稻农业机械化蓬勃发展提出期望。
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关键词
水稻
机械化生产
发展
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Keywords
Rice
Mechanized production
Development The Application of Conservation Tillage Technology and Machines in Xinjiang LIU Xiang-xin et al （Institute of Machinery and Equipment
Xinjiang Academy of Agricultural and Reclamation Science
Shihezi
Xinjiang 832000） Abstract Conservation tillage is a new type of naked leisure farming technology comparing with conventional tillage and is a major change for traditional farming.Moreover
the connotation and meaning of conservation tillage technology were expounded
through introducing conservation tillage technology model and the application of machines in Xinjiang
the economic
social and ecological benefits produced by conservation tillage technology were analyzed
it draw the conclusion that the implementation of protective farming techniques is the comprehensive agricultural eco-engineering techniques
to achieve sustainable agricultural development in Xinjiang and have some prospects. key words Conservation Tillage
No-tillage sowing
Xinjiang
Application
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分类号
S23-01
[农业科学—农业机械化工程]
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题名面向领域的语义搜索引擎的应用研究
被引量：5
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作者
赵宏亮
杨鹤标
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机构
江苏大学计算机科学与通信工程学院
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出处
《计算机工程与设计》
CSCD
北大核心
2012年第5期1801-1805,共5页
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基金
国家自然科学基金项目(61005017)
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文摘
针对基于关键字的搜索引擎缺乏语义的问题,提出了一种面向专业领域的语义搜索引擎模型。以领域本体形式化描述为基础,构建本体语义框架,进而给出语义搜索模型。在模型中,以概念、概念-实例以及关键字等3种扩展特征项作为基础,对查询扩展算法和文档语义标注算法进行了研究,并且构建了语义索引,通过引入向量空间模型判定扩展检索词与语义文档的相似度。实验结果表明,该模型较传统模型较大提高了检索的查准率和查全率。
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关键词
搜索引擎
语义索引
查询扩展
语义标注
领域本体
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Keywords
based search engines
a semantic search engine model is proposed.With the formal description of domain ontology
the ontology semantic frame is built
and the semantic search model is presented.In this model
concept
concept-instance and keyword are used as three feature items as the basis of the semantic query expansion algorithm and document annotation algorithm
and the semantic index is built.The similarity between expanded words and the semantic document is determined by vector space model.The experiment with data from an university news report shows that this model.is of large improvement in precision and recall
compared with the traditional model. key words：search engine
semantic indexing
query expanding
semantic annotation
domain ontology
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分类号
TP391.1
[自动化与计算机技术—计算机应用技术]
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