决策树及支持向量机回归算法在麦蚜发生程度预测中的应用

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1、—．－？’．‘？碱．…Ｖ？ｒ己，二Ｖ鴻—毒贫巧户。觀、．Ａ＇、＇．一、—．？气件‘．、、－巧心．—；、－—■：ＣＳ心．’ｙ、－：＾．．．、资清私．ｆ脊？聲带．，：＇－谓＞、’‘、．、＼令苗冷叩．巧＾Ｖ＇’，、＇’；、＂可分美号：９６８，沪？Ｑ．１《ＶｒＡｖ韦当位单位代码：１〇＂４門．／、！、诗礙；．．＇‘、．２。誦号：１５８．：；１－邊．《姑带裝誤节：：节＾：１．．．＇。，＇’．八、－．＇如、。．心，；；Ｖ祭＾＾．去、记巧怒；义公為讀‘拍、：．／六全日制硕±专业学位论

2、文胃＇＇、、‘二，成＂．讀，．，‘、；嘉Ｖ．决策树及支持向量机回归算法在麦蚊发生程度预测中的应用ｖ：；＾、＇．＇．＇：；，＿＼巧令、，Ｔｈｅ乂ｐｐｌｉｃａｔｉｏｎｏｆＤｅｃｉｓｉｏｎＴｒｅｅａｎｄＳＶＲＡｌｇｏｒｉｔｈｍｉｎＰｒｅｄｉｃｔｉｎｇ化ｅ每去‘．＇；ｃｃｕｒｒｅｎｃｅＤｅｒｅｅｏｆＷｈｅａｔＡｈｉｄｓ＇、‘＼一Ｏｐ，｝ｇ．气．声．＇、＇＇’．’＇、．，．、：．：‘直苦咕＇，ｖ；耳、七满式巧法致—、女＇ｖ為薪知；Ｊｒ冷身’、．‘．、＇．．‘．．．－巧、

3、．？，／命扛．护終货纖知错冷辦？Ｖ皆护鸣’與、．姓＇＾‘‘：张名晴曠．：，，皇＞己端，為慶媒則蟲４游’＾―‘＾一＇：‘＇－＇—冷江；冷－．．位苗＾Ｖ．开；学类别本业推广．ｉ、．：３：１．？ｆ＾誓．胃ｔ．．＇＇、’＇＇心弓严ｒ、Ｖ：之奶苗公姆＾舞雀，，’．‘．＇．．＇．专；业：植物保护以：：．苗貧或作訟；货斧安Ｐ笔讀、一、‘．．－＊八研业大数据Ｖ病’成方．究方向：农处ｈ诚．常译枯｜露‘―．一、．．－；院热辨，心鲜学院；植物保批学爲藏摆琪弘軒亡或？＂－？羯調．、心ｒ１．。Ｖ．識於．‘去巧扭…＇沪＇‘—

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5、．：；：；２０１６６４７；：；年月气：：；去八：昕巧３＾．蘇衣—。．、■’‘＝：－－＇二：、＇．手：作：声．．＾作．苗姑一％．鱗藏＇一．‘．二Ｖ。－；、一＾＜麟挣、—．＝＾权中心占Ｔ＾ｖ、、－、＼：芯成蘇４弦違占论文提交日期：2016年5月论文答辩日期：2016年6月学位授予日期：2016年6月学科门类：农学答辩委员会主席：洪晓月教授目录中文摘要·················································································

6、··············IAbstract··································································································III1前言·······································································································11.1大数据开启时代转型······························

7、················································11.1.1大数据的起源及概念···········································································11.1.2大数据的主要价值及在“互联网+”时代的发展········································11.1.3大数据面临的挑战······················································

8、························31.2农业大数据························································