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Study on the Characteristics and Efficient Cultivation Techniques of "Rice-Rice-Potato" Triple Cropping Rotation Pattern
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作者 Huang Xianliang Jiang Xianya +5 位作者 Chen Maotuo Huang Riliang Tan Zhi Wu Shangxin Lu Xixu Yang Jianyuan 《Plant Diseases and Pests》 CAS 2020年第4期28-30,35,共4页
The efficient cultivation technique of "rice-rice-potato" triple cropping rotation pattern is summarized by analyzing its characteristics and cultivation techniques in Yangjiang region of Guangdong Province,... The efficient cultivation technique of "rice-rice-potato" triple cropping rotation pattern is summarized by analyzing its characteristics and cultivation techniques in Yangjiang region of Guangdong Province,China,and machine-transplanted cultivation technique of double cropping rice and cultivation techniques of winter potato black film mulching are emphatically introduced,in order to promote the development of potato industry in Yangjiang City.The results will provide a scientific basis for the popularization and application of the "rice-rice-potato" triple cropping rotation pattern. 展开更多
关键词 RICE POTATO triple cropping pattern ROTATION Cultivation technique
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An Effective Discrete Artificial Bee Colony Based SPARQL Query Path Optimization by Reordering Triples
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作者 Zeynep Banu Ozger Nurgul Yuzbasioglu Uslu 《Journal of Computer Science & Technology》 SCIE EI CSCD 2021年第2期445-462,共18页
Semantic Web has emerged to make web content machine-readable,and with the rapid increase in the number of web pages,its importance has increased.Resource description framework(RDF)is a special data graph format where... Semantic Web has emerged to make web content machine-readable,and with the rapid increase in the number of web pages,its importance has increased.Resource description framework(RDF)is a special data graph format where Semantic Web data are stored and it can be queried by SPARQL query language.The challenge is to find the optimal query order that results in the shortest period of time.In this paper,the discrete Artificial Bee Colony(dABCSPARQL)algorithm is proposed,based on a novel heuristic approach,namely reordering SPARQL queries.The processing time of queries with different shapes and sizes is minimized using the dABCSPARQL algorithm.The performance of the proposed method is evaluated on chain,star,cyclic,and chain-star queries of different sizes from the Lehigh University Benchmark(LUBM)dataset.The results obtained by the proposed method are compared with those of ARQ(a SPARQL processor for Jena)query engine,the Ant System,the Elitist Ant System,and MAX-MIN Ant System algorithms.The experiments demonstrate that the proposed method significantly reduces the processing time,and in most queries,the reduction rate is higher compared with other optimization methods. 展开更多
关键词 artificial bee colony resource description framework(RDF) query optimization reordering triple pattern SPARQL
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