新疆加工番茄产业精准施肥决策支持系统研究
发布时间：2018-11-18 07:23
【摘要】：精准农业是现代农业的主要技术特征之一。进入规模产业化的新疆加工番茄种植业,由于普遍采用传统的规模化管理,机械化作业,肥效问题成为考验规模效益的一个及其重要问题,精准农业势在必行。作为精准农业的一项核心技术—精准施肥,可以有效提高加工番茄产业种植效益,降低施肥的盲目性,减少浪费,尽可能地维护土壤原有理化性质,有效降低肥料对土壤团粒结构的破坏。本文以实现精准施肥为目标,通过对土壤、肥料、作物生长特性进行分析与评价、大量的相关样本数据进行综合,运用数学、智能控制算法、计算机技术等建立与肥效相关的数学模型,并基于决策理论及方法生成精准施肥机制,形成决策支持系统。土壤肥力的高低是进行精准施肥的前提,针对土壤肥力问题提出了基于加权模糊聚类分析算法的评价方法,建立了土壤肥力评价模型并根据肥力状况提出了施肥建议。不同肥料对作物的生长影响不一样,为确定肥料的肥效,以钾肥为例,通过利用灰色关联分析法得出了钾肥对番茄产量的影响以及品质性状的关联度排序。在确定了土壤肥力和肥料肥效后,针对具体施肥模型,构建了传统的“3414”施肥模型并提出了基于BP神经网络的施肥模型,结果表明基于BP神经网络的施肥模型优于传统的“3414”施肥模型,为精准施肥提供了有效指导。最后,对决策支持系统的体系结构和各模块功能进行分析,初步设计出加工番茄产业精准施肥决策支持系统。
[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.
【学位授予单位】：新疆大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：S641.2;S126
本文编号：2339302
[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.
【学位授予单位】：新疆大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：S641.2;S126
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