农机化研究
農機化研究
농궤화연구
JOURNAL OF AGRICULTURAL MECHANIZATION RESEARCH
2015年
5期
229-234
,共6页
物联网%GPRS/GPS%农业病虫害%K-means%椭圆拟合%智能监控
物聯網%GPRS/GPS%農業病蟲害%K-means%橢圓擬閤%智能鑑控
물련망%GPRS/GPS%농업병충해%K-means%타원의합%지능감공
internet of things ( IoT)%GPRS/GPS%agriculture pest%K-means%ellipse fitting%intelligent monitoring
为提高我国农业抗病虫害的整体水平，精准研究农作物生长环境对虫害数目变化趋势的影响尤为重要。基于物联网的农业虫害智能监控系统研发了一套自动采集农田环境信息、害虫数目，并且可以进行设备参数设置的系统。采用K－means 聚类算法从拍摄图片背景中提取稻飞虱和最小二乘法椭圆拟合，用椭圆率区分虫体和杂质统计稻飞虱数目。同时，详细介绍了系统的硬件组成和软件设计功能模块，实现了虫害等信息的自动采集和自动化运作，为有效防控病虫害奠定基础。
為提高我國農業抗病蟲害的整體水平，精準研究農作物生長環境對蟲害數目變化趨勢的影響尤為重要。基于物聯網的農業蟲害智能鑑控繫統研髮瞭一套自動採集農田環境信息、害蟲數目，併且可以進行設備參數設置的繫統。採用K－means 聚類算法從拍攝圖片揹景中提取稻飛虱和最小二乘法橢圓擬閤，用橢圓率區分蟲體和雜質統計稻飛虱數目。同時，詳細介紹瞭繫統的硬件組成和軟件設計功能模塊，實現瞭蟲害等信息的自動採集和自動化運作，為有效防控病蟲害奠定基礎。
위제고아국농업항병충해적정체수평，정준연구농작물생장배경대충해수목변화추세적영향우위중요。기우물련망적농업충해지능감공계통연발료일투자동채집농전배경신식、해충수목，병차가이진행설비삼수설치적계통。채용K－means 취류산법종박섭도편배경중제취도비슬화최소이승법타원의합，용타원솔구분충체화잡질통계도비슬수목。동시，상세개소료계통적경건조성화연건설계공능모괴，실현료충해등신식적자동채집화자동화운작，위유효방공병충해전정기출。
〗In order to improve the overall level of China's agricultural pest resistance , precise research of how crop growth environment affects the number of plant pest trends is particularly important .Intelligent monitoring system for Ag-ricultural Pests Based on Internet of Things ( IoT) develops a set of automatic data collection system of farml-and environ-ment information , the number of pests , and it can also set the equipment parameters .Artificial taking pictures of plan-thopper, this system uses k-means clustering algorithm to separate the planthopper from the backgr -ound ,uses an el-lipse fitting based on least square method to get the ellipticity ,which is used to distinguish between insect body and im-purities and add up the pests number .Hardware composition of the system and software design of function modules are in-troduced in detail , which realizes automatic information collection and automated operation and lays the foundation of ef -fective prevention and control of pest .
