【摘要】：精準(zhǔn)農(nóng)業(yè)是現(xiàn)代農(nóng)業(yè)的主要技術(shù)特征之一。進入規(guī)模產(chǎn)業(yè)化的新疆加工番茄種植業(yè),由于普遍采用傳統(tǒng)的規(guī)�；芾�,機械化作業(yè),肥效問題成為考驗規(guī)模效益的一個及其重要問題,精準(zhǔn)農(nóng)業(yè)勢在必行。作為精準(zhǔn)農(nóng)業(yè)的一項核心技術(shù)—精準(zhǔn)施肥,可以有效提高加工番茄產(chǎn)業(yè)種植效益,降低施肥的盲目性,減少浪費,盡可能地維護土壤原有理化性質(zhì),有效降低肥料對土壤團粒結(jié)構(gòu)的破壞。本文以實現(xiàn)精準(zhǔn)施肥為目標(biāo),通過對土壤、肥料、作物生長特性進行分析與評價、大量的相關(guān)樣本數(shù)據(jù)進行綜合,運用數(shù)學(xué)、智能控制算法、計算機技術(shù)等建立與肥效相關(guān)的數(shù)學(xué)模型,并基于決策理論及方法生成精準(zhǔn)施肥機制,形成決策支持系統(tǒng)。土壤肥力的高低是進行精準(zhǔn)施肥的前提,針對土壤肥力問題提出了基于加權(quán)模糊聚類分析算法的評價方法,建立了土壤肥力評價模型并根據(jù)肥力狀況提出了施肥建議。不同肥料對作物的生長影響不一樣,為確定肥料的肥效,以鉀肥為例,通過利用灰色關(guān)聯(lián)分析法得出了鉀肥對番茄產(chǎn)量的影響以及品質(zhì)性狀的關(guān)聯(lián)度排序。在確定了土壤肥力和肥料肥效后,針對具體施肥模型,構(gòu)建了傳統(tǒng)的“3414”施肥模型并提出了基于BP神經(jīng)網(wǎng)絡(luò)的施肥模型,結(jié)果表明基于BP神經(jīng)網(wǎng)絡(luò)的施肥模型優(yōu)于傳統(tǒng)的“3414”施肥模型,為精準(zhǔn)施肥提供了有效指導(dǎo)。最后,對決策支持系統(tǒng)的體系結(jié)構(gòu)和各模塊功能進行分析,初步設(shè)計出加工番茄產(chǎn)業(yè)精準(zhǔn)施肥決策支持系統(tǒng)。
[Abstract]:Precision agriculture is one of the main technical characteristics of modern agriculture. Because of the traditional large-scale management and mechanized operation, fertilizer efficiency has become an important problem to test the scale efficiency of the processing tomato planting industry in Xinjiang, and precision agriculture is imperative. As a core technology of precision agriculture, precision fertilization can effectively improve the benefit of tomato processing industry, reduce the blindness of fertilization, reduce waste, and maintain the original physical and chemical properties of soil as much as possible. It can effectively reduce the damage to soil aggregate structure caused by fertilizer. This paper aims to achieve precision fertilization, through the analysis and evaluation of soil, fertilizer, crop growth characteristics, a large number of related sample data synthesis, using mathematics, intelligent control algorithm, The mathematical model related to fertilizer efficiency is established by computer technology, and the decision support system is formed based on the decision theory and method. The level of soil fertility is the premise of precision fertilization. The evaluation method based on weighted fuzzy cluster analysis algorithm is put forward to solve the problem of soil fertility. The evaluation model of soil fertility is established and the fertilization suggestions are put forward according to the fertility status. The effects of different fertilizers on the growth of crops were different. In order to determine the fertilizer efficiency, the effect of potash fertilizer on tomato yield and the ranking of correlation degree of quality traits were obtained by using grey relational analysis method, taking potash fertilizer as an example. After determining the soil fertility and fertilizer efficiency, the traditional "3414" fertilization model was constructed according to the specific fertilization model, and the fertilization model based on BP neural network was put forward. The results show that the fertilization model based on BP neural network is superior to the traditional "3414" fertilization model, which provides effective guidance for precision fertilization. Finally, the system structure and the function of each module of decision support system are analyzed, and the precision fertilization decision support system of tomato processing industry is designed preliminarily.
【學(xué)位授予單位】：新疆大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：S641.2;S126

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本文編號：2339302