Cheng Chen, Xinpeng Wei, Wang Guo, Cheng Peng, Qingxue Li
{"title":"Knowledge service technology of soil testing formula based on the integration of knowledge map and location service","authors":"Cheng Chen, Xinpeng Wei, Wang Guo, Cheng Peng, Qingxue Li","doi":"10.1145/3569966.3570118","DOIUrl":null,"url":null,"abstract":"CCS CONCEPTS • Information systems∼Information systems applications∼Decision support systems∼Expert systems Abstract: As a large agricultural country, agricultural fertilizer reduction has great carbon emission reduction potential and environmental contribution, which is of great significance to national carbon neutralization and carbon peak, ecological environment protection, comprehensive treatment of river basin water environment and so on. In the process of agricultural production, due to the marginal effect of agricultural inputs, excessive application of chemical fertilizer can not only increase production, but also cause soil hardening, environmental pollution and other problems, and directly affect the quality of agricultural products. In this paper, combined with the geographic information system of soil fertility and the knowledge map technology of soil testing and fertilizer blending, the knowledge service system of soil testing and fertilizer blending has been constructed, the knowledge map was used to organize and manage the knowledge related to soil testing and fertilizer blending, combined with the advantages of spatial location service and spatio-temporal annotation of GIS, to provide combined accurate service of soil testing data and soil testing formula knowledge to individualized guidance the farmers' scientific fertilization, and to improve the utilization rate of chemical fertilizer.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3569966.3570118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
CCS CONCEPTS • Information systems∼Information systems applications∼Decision support systems∼Expert systems Abstract: As a large agricultural country, agricultural fertilizer reduction has great carbon emission reduction potential and environmental contribution, which is of great significance to national carbon neutralization and carbon peak, ecological environment protection, comprehensive treatment of river basin water environment and so on. In the process of agricultural production, due to the marginal effect of agricultural inputs, excessive application of chemical fertilizer can not only increase production, but also cause soil hardening, environmental pollution and other problems, and directly affect the quality of agricultural products. In this paper, combined with the geographic information system of soil fertility and the knowledge map technology of soil testing and fertilizer blending, the knowledge service system of soil testing and fertilizer blending has been constructed, the knowledge map was used to organize and manage the knowledge related to soil testing and fertilizer blending, combined with the advantages of spatial location service and spatio-temporal annotation of GIS, to provide combined accurate service of soil testing data and soil testing formula knowledge to individualized guidance the farmers' scientific fertilization, and to improve the utilization rate of chemical fertilizer.