Research And Application Of Intelligent Decision System For Corn Production Based On Remote Sensing Technology

With the rapid arrival of the information age,remote sensing technology,computer technology,"Internet+"and other technologies have developed rapidly,helping people s olve various complex problems encountered in production and life,while bringing great convenience to people's lives,It also occupies an extremely important position in social production.In particular,the emergence of"precision agriculture"has changed the pre vious extensive planting methods.Through the use of modern scientific technology such as precision variable operation technology and automated control systems,standardized sampling positioning,quantitative seeding,effective irrigation,and precise fertilization in crop production have been achieved.,Rapid weeding,scientific application of pesticid es and other farming measures to reduce the waste of fertilizer resources and environm ental pollution caused by the traditional production of regional farmland,and continue t o promote the scientific and rational development of agriculture.Corn is one of the ma in crops planted in China.With the development of marketization,the demand for corn has increased year by year,occupying an important position in China's grain crops,Jil in Province is an important corn production area,and the market demand has increased year by year.However,the problems in corn production in our province mainly includ e the disorderly layout of corn varieties,poor quality of sowing,unscientific fertilizatio n,inadequate control of pests and diseases,and low level of mechanization of harvest.Problems urgently solved by scientific researchers.As the main core technology of precision agriculture,remote sensing technology,al ong with the coordinated development of computer technology,space technology and en vironmental science and technology,has gradually become a cross-disciplinary technolog y integrating multiple disciplines.Although the application of remote sensing technology in the agricultural field started late,remote sensing plays an important role in crop co ndition monitoring,crop identification,soil nutrient retrieval and natural disaster monitor ing,and is one of the effective means to change the traditional agricultural production problems.In response to the above outstanding problems in corn production,with the guidanc e of experts in the agricultural field and the assistance of agricultural workers,we con ducted a field visit to the experimental base in Nong'an County,Jilin Province.Extensi ve analysis and research.This article combines remote sensing technology and intelligen t decision-making system technology to provide a reference for the scientific production and intelligent management of corn.The main research contents are as follows:(1)Farmland data collection and processing based on"3S"technology and Internet of Things technologyMulti-directional use of GPS,RS and Internet of Things technology to obtain data information in the experimental area.Including the collection of soil fertility data,temp erature and humidity data,pest and disease data and remote sensing image related infor mation;at the same time,with the help of remote sensing software,chemical analysis methods,expert system reasoning mechanism,etc.,the collected basic data and real-tim e monitoring data are reasonable and accurate Organize and analyze by place,draw rel evant tables and thematic maps.(2)Study on inversion of soil organic matter content in black soil based on Landsa t8 remote sensing imageProcessing the corresponding remote sensing images collected,inverting the soil nut rients corresponding to the latitude and longitude,using different wavebands to perform different mathematical transformations,and selecting the optimal model by comparing th e values of the determination coefficient R~2and the root mean square error RMSE A s oil nutrient inversion model based on multispectral remote sensing images,and the esti mation of soil organic matter content.The research results show that the correlation of the reflectance model established at Landsat8 short infrared 1 band B6(wavelength 1.560?1.660?m)is optimal,and the correlation coefficient R~2 is 0.974;model verification shows that the predicted value of soil organic matter content The values are relatively close,and the correlation coefficient R~2 is 0.933.This confirmed that the use of Lands at8 multi-spectral remote sensing images for inversion of soil organic matter content in the Nong'an Experimental Area has high accuracy and stability.(3)Development and Application of Intelligent Decision System for Corn Producti on Based on Remote Sensing TechnologyAdopt JAVA programming language and SSM framework technology to integrate re mote sensing data,meteorological data and crop resource data,and realize the develop ment of B/S mode intelligent decision-making system of corn production based on rem ote sensing technology.Using this system,it is possible to systematically analyze and manage the growth process of crops,and realize the functions of farmland collection in formation query,remote sensing agricultural condition analysis,soil nutrient estimation,and precise fertilization of corn.Scientific basis.This system has been practically appli ed in the Nong'an experimental field to provide a basis for decision-making for farmers to increase corn production in the experimental area.