本文選題：物聯(lián)網(wǎng) + SVM　； 參考：《北京交通大學》2017年碩士論文

【摘要】：蔬菜是我國重要的農(nóng)產(chǎn)品,也是我國城鄉(xiāng)居民不可缺少的食物來源。隨著我國經(jīng)濟的不斷發(fā)展和人們生活水平的不斷體高、蔬菜食用量不斷增加,傳統(tǒng)的以數(shù)量為追求的食品欲望已經(jīng)不是現(xiàn)在人們的目標了,人們對食品的品質(zhì)、衛(wèi)生狀況、質(zhì)量、營養(yǎng)、健康和營養(yǎng)均衡等性能越來越注重。然而,一些商家為了追求眼前的利益,對蔬菜質(zhì)量把關不嚴,導致了大量食品安全事件的發(fā)生。近年來頻頻曝光的毒豇豆、毒韭菜、毒豆芽等事件,嚴重影響了人們?nèi)罕姷娘嬍辰】?食品質(zhì)量安全問題已成為人們?nèi)粘Ｉ顡牡膯栴}。在這種蔬菜質(zhì)量安全十分嚴峻的環(huán)境下,蔬菜質(zhì)量追溯系統(tǒng)應運而生。本文以"首都農(nóng)業(yè)集團農(nóng)產(chǎn)品全產(chǎn)業(yè)鏈物流信息服務平臺建設"項目為基礎,應用物聯(lián)網(wǎng)技術(shù)進行蔬菜質(zhì)量追溯系統(tǒng)的設計與實現(xiàn)。本文將每種蔬菜種植過程作為一個工藝流進行了規(guī)劃。在每批蔬菜的種植前,根據(jù)蔬菜的工藝流制定了生產(chǎn)計劃,對蔬菜的種植過程中的每個農(nóng)事操作的時間點和操作步驟都進行了嚴格設定。在農(nóng)事操作工具上貼上RFID標簽,應用RFID技術(shù)、傳感技術(shù)再根據(jù)蔬菜的生產(chǎn)計劃則可以實現(xiàn)蔬菜種植過程中農(nóng)事操作信息的自動采集。蔬菜生產(chǎn)工藝的制定以及蔬菜生產(chǎn)計劃的制定都有益于蔬菜質(zhì)量追溯的進行以及蔬菜種植過程的標準化。本文應用GSP技術(shù)、溫濕度傳感器以及無線傳感技術(shù),對蔬菜物流過程中的位置信息、溫度和濕度進行了采集,應用二維碼技術(shù),將采集的信息以二維碼的形式向消費者提供查詢途徑。為了更好的控制菜的質(zhì)量,本文應用支持向量機的分類回歸預測模型對蔬菜的生產(chǎn)地塊進行分類預測,以蔬菜種植地塊的"土壤污染度"和地塊中蔬菜的"農(nóng)藥殘留量"作為分類指標,將地塊分為"重點關注"和"非重點關注"兩類。對于預測結(jié)果為"重點關注"的地塊,生產(chǎn)基地管理員可對這類地塊進行重點關注。本文研究的基于物聯(lián)網(wǎng)的蔬菜質(zhì)量追溯系統(tǒng)能夠?qū)崿F(xiàn)蔬菜的種植到銷售整個過程質(zhì)量信息的自動采集與溯源功能。本文研究的蔬菜質(zhì)量追溯系統(tǒng)不僅能實現(xiàn)消費對蔬菜質(zhì)量信息的需求而且可以提高蔬菜生產(chǎn)基地的管理效率,為蔬菜生產(chǎn)基地的標準化作業(yè)提供參考。
[Abstract]:Vegetable is an important agricultural product and an indispensable food source for urban and rural residents in China. With the continuous development of our economy and the continuous improvement of people's living standards, the amount of vegetables consumed has been increasing. The traditional desire for food with quantity as the pursuit is no longer the goal of people now. People have a sense of food quality and hygiene. Quality, nutrition, health and nutritional balance are more and more important. However, in order to pursue the immediate benefits, some businesses are not strict on the quality of vegetables, leading to a large number of food safety incidents. In recent years, the frequent exposure of toxic cowpea, poisonous leek, toxic bean sprouts and other incidents seriously affected the people's diet health, food quality and safety has become a daily concern of people. In this kind of vegetable quality safety environment, vegetable quality traceability system arises at the historic moment. Based on the project of "Construction of Logistics Information Service platform for the whole Industry chain of Agricultural products of Capital Agricultural Group", the design and implementation of vegetable quality traceability system based on Internet of things technology is presented in this paper. In this paper, each vegetable growing process is planned as a process flow. Before each batch of vegetables was planted, the production plan was worked out according to the technological flow of vegetables, and the time points and operation steps of each agricultural operation in the process of planting vegetables were strictly set. Attaching RFID label to agricultural operation tools, applying RFID technology and sensing technology can realize the automatic collection of agricultural operation information in vegetable planting process according to vegetable production plan. The establishment of vegetable production process and vegetable production plan are beneficial to the traceability of vegetable quality and the standardization of vegetable planting process. In this paper, GSP technology, temperature and humidity sensor and wireless sensor technology are used to collect the position information, temperature and humidity in vegetable logistics process. The collected information is provided to consumers in the form of two-dimensional code. In order to control vegetable quality better, this paper uses the support vector machine (SVM) classification regression prediction model to forecast vegetable production plots. The soil pollution degree of vegetable planting plots and the pesticide residues of vegetables in plots were taken as the classification indexes, and the plots were divided into two categories: "focus attention" and "non-key concern". For the sites where the forecast result is "focus", the production base administrator can focus on this kind of land. The vegetable quality traceability system based on the Internet of things in this paper can realize the automatic collection and tracing function of the quality information in the whole process of planting and selling vegetables. The vegetable quality traceability system studied in this paper can not only meet the demand of consumption for vegetable quality information but also improve the management efficiency of vegetable production base and provide a reference for the standardized operation of vegetable production base.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.44;TN929.5;F322

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