利用IBM SPSS统计对现有植保产品知识进行综述

Sawlani Varsha Srichand
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Research significance: plant protection products kill and repel insects and can also be used to control are compounds. They are various and can be used for purposes for example, to harvest a crop before and after protection, growth of the plant promoting the cultivation of weeds termination or vegetation protection of goods may be intended. These products contain pyrethrin, azadirachtin, or nicotine and may be as natural as or synthetically such as ddt maybe. Of pesticides another characteristic is that once it is used duration of toxic effects depends. This is consistency referred to as continuous plant protection unlike products, “shock referred to as \"products\", immediately after they are used has an effect, but they don't last. Many for pest control if applications are needed, correct between treatments a to determine spacing product stability it is very important to be aware of. 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摘要

. 它们是如何对昆虫产生毒性作用的取决于,我们有植物保护产品,它们是相关的或者在食用或吸入时起作用的,对一些人来说在很多方面都可能受到长期毒性的影响,结果是反复摄入/与产品相互作用发生在服用过程中因此在消费者中很常见。尽量长时间因中毒残留。在毒理学上,大量的残留物处理后被植保项目定义为无毒残留物,简称残留物。代谢物作为残留物被考虑,而植物的安全系数是腐蚀或作为反应物由分解产生,这些都如上文所述具有持续的毒性作用。研究意义:植保产品可杀灭、驱虫,也可用于防治化合物。它们是多种多样的,可以用于例如在保护之前和之后收获作物,促进植物生长的种植,终止杂草或植物保护货物的目的。这些产品含有除虫菊酯、印楝素或尼古丁,可能与滴滴涕一样天然或人工合成。农药的另一个特点是,一旦使用,其毒性作用的持续时间取决于。这是一致性称为连续植保产品,“冲击性”称为“产品”,它们使用后立即有效果,但它们不会持久。许多病虫害防治如果需要应用,处理之间的正确间距,确定产品的稳定性是非常重要的,要注意。方法论:SPSS是一款由IBM开发的用于数据管理、高级分析、多元分析、商业智能和刑事调查的统计软件包。很久了,spa公司。是由IBM在2009年收购的。最新版本的品牌名称是IBM SPSS统计数据。评价参数:除草剂:用于控制杂草,杀虫剂:用于控制昆虫,杀菌剂:用于控制真菌疾病,杀螺剂:用于控制蜗牛,杀螨剂:用于控制螨虫,杀鼠剂:用于控制有害啮齿动物,生长调节剂:用于控制生物过程。结果:Cronbach's Alpha信度结果。模型的总体Cronbach’s Alpha值为0.688,信度为68%。从文献综述来看,上述63%的Cronbach’s Alpha值模型可以考虑进行分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review of Current Knowledge Plant Protection Products Using IBM SPSS Statistics
. how are they on insects have a toxic effect depending on, we have plant protection products there are, they are related or while consuming or when inhaled works, to some are in many of these ways can be effected by long term toxicity, repeated intake as a result/interaction with the product occurs as a result of taking and so among consumers common. As long as possible due to period intoxication residue. The residue is toxicologically A significant amount of treatment later plant protection items are defined as non-toxic residues referred to as residuals. Metabolites as residues are considered, and plant the safety factor is corrosion or as reactants are produced by decomposition, there these are as described above have persistent toxic effects. Research significance: plant protection products kill and repel insects and can also be used to control are compounds. They are various and can be used for purposes for example, to harvest a crop before and after protection, growth of the plant promoting the cultivation of weeds termination or vegetation protection of goods may be intended. These products contain pyrethrin, azadirachtin, or nicotine and may be as natural as or synthetically such as ddt maybe. Of pesticides another characteristic is that once it is used duration of toxic effects depends. This is consistency referred to as continuous plant protection unlike products, “shock referred to as "products", immediately after they are used has an effect, but they don't last. Many for pest control if applications are needed, correct between treatments a to determine spacing product stability it is very important to be aware of. Methodology: SPSS statistics is a data management, advanced analytics, multivariate analytics, business intelligence, and criminal investigation developed by IBM for a statistical software package. A long time, spa inc. Was created by, IBM purchased it in 2009. The brand name for the most recent versions is IBM SPSS statistics. Evaluation parameters: Herbicides: used to control weeds, Insecticides: used to control insects, Fungicides: used to control fungal diseases, Molluscicides: used to control snails, Acaricides: used to control mites, Rodenticides: used to control harmful rodents, Growth regulators: used to control biological processes. Results: the Cronbach's Alpha Reliability result. The overall Cronbach's Alpha value for the model is .688 which indicates 68% reliability. From the literature review, the above 63% Cronbach's Alpha value model can be considered for analysis.
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