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Research And Implementation Of Crop Growth Status Collection System Based On Mobile GIS

Posted on:2019-12-13Degree:MasterType:Thesis
Country:ChinaCandidate:Z YangFull Text:PDF
GTID:2393330545457220Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
With the development of modern agriculture in China,new technologies such as precision agriculture,intelligent agriculture and big agricultural data have been applied to agriculture,and the premise and basis of these technologies are supported by relevant agricultural data.But at present,there are many techniques for collecting meteorological data and soil data in the field,and lack of data acquisition technology related to the growth of field crops,especially the fast and non destructive monitoring technology of crop growth oriented to the basic unit of agricultural production,which leads to the lack of fast and accurate understanding of crop growth on one hand.On the other hand,on the other hand,it is difficult or costly for relevant departments to get large and large scale crop data.In view of the above situation,this study is based on a dual band spectral sensor,combined with Android platform,mobile GIS technology,image processing technology,ArcGIS server and related data models,and studies the related techniques and methods for the collection,management and analysis of field crop growth data.It mainly includes:1.Spectral data acquisition.The correlation between the spectral data collected by the portable sensor and the standard data used in this paper is mainly studied,and the correction model is built according to the correlation,and the model library of the crop growth parameter inversion through the spectral data is established through the related literature and research.2.Image data acquisition.This paper studies the collection of crop canopy images based on mobile device self tape camera,and maintains one-to-one correspondence with spectral data in space and time to provide data support for subsequent crop research based on image recognition.At the same time,the image processing algorithm and vegetation index were combined to realize the extraction of crops from the picture,and the feasibility of calculating crop leaf area index based on the coverage of crop canopy was verified.3.The study contrasts the generation method of sampling point distribution,and realizes the management and navigation of the scheme according to the mobile GIS related technology,and increases the reusability and scientificalness of the acquisition scheme,and realizes the integration and application of the system.This paper studies the data collection system of crop growth,and realizes the integration of data collection,processing,analysis,transmission,management,visualization and other functions.It provides a convenient and quick method for monitoring crop growth.At the same time,the agricultural platform-load model-Information-decision-making complete information chain,innovation chain and value chain are used to provide data reference for large scale analysis and decision of agricultural growth,improve the innovation and application level of agricultural science and technology,and expand the use of agricultural information.
Keywords/Search Tags:Crop growth parameters, Mobile GIS, Vegetation extraction, Agricultural informatization
PDF Full Text Request
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