In this study,MAPGIS software was used in production of basic farmland protection plan maps based on the related practice of Jinkong town,Yanting County,Sichuan Province,China.It was proved that MAPGIS software could ...In this study,MAPGIS software was used in production of basic farmland protection plan maps based on the related practice of Jinkong town,Yanting County,Sichuan Province,China.It was proved that MAPGIS software could improve the efficiency of mapping greatly,and resolved technical problems in basic farmland protection plan mapping.展开更多
Precision Agriculture, also known as Precision Farming, or Prescription Farming, is a modern agriculture technology system, which brings ' precision' into agriculture system. All concepts of Precision Agricult...Precision Agriculture, also known as Precision Farming, or Prescription Farming, is a modern agriculture technology system, which brings ' precision' into agriculture system. All concepts of Precision Agriculture are established on the collection and management of variable cropland information. As the tool of collecting, managing and analyzing spatial data, GIS is the key technology of integrated Precision Agriculture system. This article puts forward the concept of Farmland GIS and designs Farmland GIS into five modules, and specifies the functions of the each module, which builds the foundation for practical development of the software. The study and development of Farmland GIS will propel the spreading of Precision Agriculture technology in China.展开更多
Farmland Fertility Algorithm(FFA)is a recent nature-inspired metaheuristic algorithm for solving optimization problems.Nevertheless,FFA has some drawbacks:slow convergence and imbalance of diversification(exploration)...Farmland Fertility Algorithm(FFA)is a recent nature-inspired metaheuristic algorithm for solving optimization problems.Nevertheless,FFA has some drawbacks:slow convergence and imbalance of diversification(exploration)and intensification(exploitation).An adaptive mechanism in every algorithm can achieve a proper balance between exploration and exploitation.The literature shows that chaotic maps are incorporated into metaheuristic algorithms to eliminate these drawbacks.Therefore,in this paper,twelve chaotic maps have been embedded into FFA to find the best numbers of prospectors to increase the exploitation of the best promising solutions.Furthermore,the Quasi-Oppositional-Based Learning(QOBL)mechanism enhances the exploration speed and convergence rate;we name a CQFFA algorithm.The improvements have been made in line with the weaknesses of the FFA algorithm because the FFA algorithm has fallen into the optimal local trap in solving some complex problems or does not have sufficient ability in the intensification component.The results obtained show that the proposed CQFFA model has been significantly improved.It is applied to twenty-three widely-used test functions and compared with similar state-of-the-art algorithms statistically and visually.Also,the CQFFA algorithm has evaluated six real-world engineering problems.The experimental results showed that the CQFFA algorithm outperforms other competitor algorithms.展开更多
农田土壤中的重金属污染是国内外农业生态安全理论与实践中一个重要的研究领域。为全面了解国际及国内农田土壤重金属研究的现状与未来发展趋势,本文采用知识图谱法对知网和Web of Science核心数据库中相关论文进行了分析,从多角度表征...农田土壤中的重金属污染是国内外农业生态安全理论与实践中一个重要的研究领域。为全面了解国际及国内农田土壤重金属研究的现状与未来发展趋势,本文采用知识图谱法对知网和Web of Science核心数据库中相关论文进行了分析,从多角度表征该研究领域的趋势与热点。研究结果显示,目前农田土壤重金属污染的研究仍然处于快速增长阶段。这一领域的研究范围广泛,涉及内容丰富。在国内外发表的相关文献中,我国是发文量最大的国家。发文机构中国科学院处于领先地位。农田土壤重金属研究主要涉及重金属含量分布、污染评估、生态环境和健康评估以及来源解析等方面。数据模型和稳定同位素技术的发展推动了土壤重金属污染溯源研究。未来农田土壤重金属研究的焦点预计将更加精确地确定重金属的来源。展开更多
针对目前农用地分等方法中的存在的不足之处,提出将模糊理论、自组织特征映射(Se lf-O rgan iz ing F eature M ap,SOFM)网络与G IS相结合,构造出一种新的农用地分等模型—模糊SOFM-G IS空间聚类模型。并利用此模型对广东省高要市农用...针对目前农用地分等方法中的存在的不足之处,提出将模糊理论、自组织特征映射(Se lf-O rgan iz ing F eature M ap,SOFM)网络与G IS相结合,构造出一种新的农用地分等模型—模糊SOFM-G IS空间聚类模型。并利用此模型对广东省高要市农用地进行农用地分等评价,结果表明采用模糊SOFM-G IS空间聚类模型进行农用地分等评价具有稳定、结果可靠等特点。展开更多
针对智能化精细处方农作系统田间作业机组对车载信息采集和处理的需要,以ARM(adanced RISC machines)工控系统和嵌入式GIS为核心,集成DGPS(differential global positioning system)系统和机组作业速度检测装置等,研制了一套处方农作车...针对智能化精细处方农作系统田间作业机组对车载信息采集和处理的需要,以ARM(adanced RISC machines)工控系统和嵌入式GIS为核心,集成DGPS(differential global positioning system)系统和机组作业速度检测装置等,研制了一套处方农作车载嵌入式信息处理系统。该系统通过RS-232接口获取DGPS系统的动态GPS定位信息,通过USB接口输出农田信息分布图或输入作业处方图,通过CAN总线采用iCAN协议与农田信息采集系统和变量农作控制器互联。嵌入式GIS由eSupermap 6.0开发而成,运行于ARM工控系统的Windows CE 5.0操作系统;可通过网格划分和属性编辑实现GPS定位信息与农田信息的融合,生成农田信息分布图;还可通过坐标匹配进行机组当前作业位置在工作空间图中的网格识别,实现处方图的解译。模拟测试试验结果表明:该系统信息处理功能正常,能够完成农田信息分布图的生成和处方图的解译,机组作业速度检测绝对误差≤0.1km/h、处方图解译最大延迟时间≤1s、3km/h作业速度下的网格判别误差约为-0.5～0.6m,适合各种智能化处方农作系统田间作业机组的车载信息处理应用。展开更多
基金Supported by NSFC(30900138)Open Research Fund of Re-earch Center of Forestry Remote Sensing and Information Engineering,Central South University of Forestry and Technology(RS2008k01)Henan University of Science and Technology Doctor Foundation(09001367)~~
文摘In this study,MAPGIS software was used in production of basic farmland protection plan maps based on the related practice of Jinkong town,Yanting County,Sichuan Province,China.It was proved that MAPGIS software could improve the efficiency of mapping greatly,and resolved technical problems in basic farmland protection plan mapping.
基金the Knowledge Innovation Project of the Chinese Academy of Sciences(No.NZCX2-412).
文摘Precision Agriculture, also known as Precision Farming, or Prescription Farming, is a modern agriculture technology system, which brings ' precision' into agriculture system. All concepts of Precision Agriculture are established on the collection and management of variable cropland information. As the tool of collecting, managing and analyzing spatial data, GIS is the key technology of integrated Precision Agriculture system. This article puts forward the concept of Farmland GIS and designs Farmland GIS into five modules, and specifies the functions of the each module, which builds the foundation for practical development of the software. The study and development of Farmland GIS will propel the spreading of Precision Agriculture technology in China.
文摘Farmland Fertility Algorithm(FFA)is a recent nature-inspired metaheuristic algorithm for solving optimization problems.Nevertheless,FFA has some drawbacks:slow convergence and imbalance of diversification(exploration)and intensification(exploitation).An adaptive mechanism in every algorithm can achieve a proper balance between exploration and exploitation.The literature shows that chaotic maps are incorporated into metaheuristic algorithms to eliminate these drawbacks.Therefore,in this paper,twelve chaotic maps have been embedded into FFA to find the best numbers of prospectors to increase the exploitation of the best promising solutions.Furthermore,the Quasi-Oppositional-Based Learning(QOBL)mechanism enhances the exploration speed and convergence rate;we name a CQFFA algorithm.The improvements have been made in line with the weaknesses of the FFA algorithm because the FFA algorithm has fallen into the optimal local trap in solving some complex problems or does not have sufficient ability in the intensification component.The results obtained show that the proposed CQFFA model has been significantly improved.It is applied to twenty-three widely-used test functions and compared with similar state-of-the-art algorithms statistically and visually.Also,the CQFFA algorithm has evaluated six real-world engineering problems.The experimental results showed that the CQFFA algorithm outperforms other competitor algorithms.
文摘农田土壤中的重金属污染是国内外农业生态安全理论与实践中一个重要的研究领域。为全面了解国际及国内农田土壤重金属研究的现状与未来发展趋势,本文采用知识图谱法对知网和Web of Science核心数据库中相关论文进行了分析,从多角度表征该研究领域的趋势与热点。研究结果显示,目前农田土壤重金属污染的研究仍然处于快速增长阶段。这一领域的研究范围广泛,涉及内容丰富。在国内外发表的相关文献中,我国是发文量最大的国家。发文机构中国科学院处于领先地位。农田土壤重金属研究主要涉及重金属含量分布、污染评估、生态环境和健康评估以及来源解析等方面。数据模型和稳定同位素技术的发展推动了土壤重金属污染溯源研究。未来农田土壤重金属研究的焦点预计将更加精确地确定重金属的来源。
文摘针对目前农用地分等方法中的存在的不足之处,提出将模糊理论、自组织特征映射(Se lf-O rgan iz ing F eature M ap,SOFM)网络与G IS相结合,构造出一种新的农用地分等模型—模糊SOFM-G IS空间聚类模型。并利用此模型对广东省高要市农用地进行农用地分等评价,结果表明采用模糊SOFM-G IS空间聚类模型进行农用地分等评价具有稳定、结果可靠等特点。
文摘针对智能化精细处方农作系统田间作业机组对车载信息采集和处理的需要,以ARM(adanced RISC machines)工控系统和嵌入式GIS为核心,集成DGPS(differential global positioning system)系统和机组作业速度检测装置等,研制了一套处方农作车载嵌入式信息处理系统。该系统通过RS-232接口获取DGPS系统的动态GPS定位信息,通过USB接口输出农田信息分布图或输入作业处方图,通过CAN总线采用iCAN协议与农田信息采集系统和变量农作控制器互联。嵌入式GIS由eSupermap 6.0开发而成,运行于ARM工控系统的Windows CE 5.0操作系统;可通过网格划分和属性编辑实现GPS定位信息与农田信息的融合,生成农田信息分布图;还可通过坐标匹配进行机组当前作业位置在工作空间图中的网格识别,实现处方图的解译。模拟测试试验结果表明:该系统信息处理功能正常,能够完成农田信息分布图的生成和处方图的解译,机组作业速度检测绝对误差≤0.1km/h、处方图解译最大延迟时间≤1s、3km/h作业速度下的网格判别误差约为-0.5～0.6m,适合各种智能化处方农作系统田间作业机组的车载信息处理应用。
