本文選題：iOS　切入點：棉蚜　出處：《石河子大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

【摘要】：針對棉蚜蟲害信息采集、統(tǒng)計、分析、預(yù)測效率低、時效性差等問題,本論文以新疆生產(chǎn)建設(shè)兵團(tuán)第七師一二五團(tuán)為研究區(qū),以棉蚜蟲害的信息采集和主動服務(wù)作為研究對象,收集了研究區(qū)2004—2013年氣象資料和棉蚜蟲害發(fā)生數(shù)據(jù),運(yùn)用統(tǒng)計分析方法、相關(guān)性分析方法和多元回歸分析方法對棉蚜蟲害發(fā)生等級和氣象資料進(jìn)行了分析,并運(yùn)用Oracle技術(shù)建立了研究區(qū)棉蚜蟲害的空間和屬性數(shù)據(jù)庫,采用iOS平臺和移動GIS技術(shù)開發(fā)了基于iOS的棉蚜蟲害信息采集和主動服務(wù)系統(tǒng),實現(xiàn)了主動向農(nóng)技人員提供推送服務(wù),結(jié)果顯示:(1)統(tǒng)計分析顯示研究區(qū)棉蚜發(fā)生呈現(xiàn)三個階段:發(fā)生期、高峰期和衰退期,相關(guān)性分析顯示影響棉蚜發(fā)生等級的主要?dú)庀笠蜃邮菧囟群蜐穸?但二者與棉蚜階段發(fā)生等級之間的線性相關(guān)關(guān)系不明顯。構(gòu)建溫濕系數(shù),對溫濕系數(shù)的自然對數(shù)與棉蚜發(fā)生等級進(jìn)行回歸,表明發(fā)生期階段內(nèi)棉蚜的發(fā)生等級與相對溫濕系數(shù)的自然對數(shù)呈線性關(guān)系,高峰期、衰退期階段內(nèi)棉蚜的發(fā)生等級與直接溫濕系數(shù)的自然對數(shù)呈線性關(guān)系。(2)論文運(yùn)用移動GIS技術(shù),以iOS為平臺,開發(fā)了面向蘋果手機(jī)的棉蚜蟲害采集系統(tǒng),農(nóng)技人員使用該系統(tǒng)可以加載離線地圖,并擁有定位功能,直接在地圖上顯示當(dāng)前位置,同時實現(xiàn)點、面數(shù)據(jù)采集,采集完畢后可以將數(shù)據(jù)傳送到服務(wù)端,為空間分析提供數(shù)據(jù)基礎(chǔ)。(3)論文從Oracle空間數(shù)據(jù)庫提取數(shù)據(jù)并進(jìn)行了反距離插值分析、分組分析和熱點分析。運(yùn)用反距離插值分析計算出了整個研究區(qū)的所有條田塊的棉蚜蟲害發(fā)生等級;在此基礎(chǔ)上,分別進(jìn)行分組分析和熱點分析,研究了棉蚜蟲害的空間聚集性以及棉蚜蟲害發(fā)生的熱點區(qū)域,為棉蚜蟲害的監(jiān)測和防治提供了基礎(chǔ)。(4)論文對所有條田塊的棉蚜蟲害發(fā)生等級與經(jīng)濟(jì)閾值進(jìn)行了比較,對每個農(nóng)技人員進(jìn)行推送,通知其各自條田未來棉蚜蟲害的發(fā)生發(fā)展趨勢,對觸發(fā)經(jīng)濟(jì)閾值的條田塊的所屬用戶進(jìn)行推送,通知其及時對棉蚜蟲害進(jìn)行防治。研究區(qū)初步應(yīng)用表明棉蚜蟲害發(fā)生等級預(yù)報模型可以滿足棉蚜蟲情的預(yù)報,農(nóng)技人員利用該系統(tǒng)可實時掌握棉蚜蟲害的發(fā)生等級,全面了解棉蚜蟲害的發(fā)生情況,并可通過推送及時獲取棉蚜蟲害的發(fā)展趨勢。系統(tǒng)操作簡單、高效便捷、實時性強(qiáng),可為棉蚜蟲害的監(jiān)測和預(yù)警提供參考。
[Abstract]:Aiming at the problems of cotton aphid pest information collection, statistics, analysis, low forecasting efficiency and poor time-efficiency, this paper took the 125 regiment of Xinjiang production and Construction Corps 7th as the research area, and took the information collection and active service of cotton aphid as the research object. The meteorological data and pest occurrence data of cotton aphids from 2004 to 2013 in the study area were collected. The occurrence grades and meteorological data of cotton aphid pests were analyzed by means of statistical analysis, correlation analysis and multivariate regression analysis. The spatial and attribute database of cotton aphid damage was established by using Oracle technology, and the information collection and active service system of cotton aphid pest based on iOS was developed by using iOS platform and mobile GIS technology. The results showed that there were three stages in the occurrence of cotton aphid in the study area: occurrence period, peak period and decline period. The correlation analysis showed that the main meteorological factors affecting the occurrence grade of cotton aphid were temperature and humidity. But the linear correlation between the two factors and the occurrence grade of cotton aphid was not obvious. The natural logarithm of temperature and humidity coefficient and the rank of occurrence of cotton aphid were regressed by constructing the coefficient of temperature and humidity. The results showed that the occurrence grade of cotton aphid was linearly related to the natural logarithm of relative temperature and humidity coefficient during the period of occurrence, and the peak period was observed. The natural logarithm of direct temperature and humidity coefficient was linearly related to the occurrence grade of cotton aphid during the period of decline. (2) using mobile GIS technology and iOS as the platform, a cotton aphid pest collection system for apple cell phone was developed. Using the system, agricultural technicians can load off-line maps and have the function of locating, displaying the current position directly on the map, and at the same time realizing the data collection of points and surfaces, after which the data can be transferred to the server. This paper extracts data from Oracle spatial database and carries out inverse distance interpolation analysis. Group analysis and hot spot analysis. By using the inverse distance interpolation analysis, we calculated the occurrence levels of cotton aphid pests in all fields in the whole research area. On this basis, we carried out grouping analysis and hot spot analysis respectively. The spatial aggregation of cotton aphid damage and the hot spots of cotton aphid pest occurrence were studied, which provided the basis for monitoring and control of cotton aphid pest. The paper compared the occurrence grade and economic threshold of cotton aphid pest in all fields. To push each agricultural technician, inform them of the development trend of cotton aphids in the future in their respective fields, and push the users of the strip fields that trigger the economic threshold, The preliminary application in the research area shows that the forecast model of cotton aphid occurrence grade can satisfy the forecast of cotton aphid situation, and the agricultural technicians can grasp the occurrence grade of cotton aphid pest in real time by using this system. The development trend of cotton aphids damage can be obtained by push. The system is simple, efficient, convenient and real-time. It can provide reference for monitoring and early warning of cotton aphids damage.
【學(xué)位授予單位】：石河子大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：S435.622.1;S126

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本文編號：1613260