{"title":"Study and implementation of the expert system for greenhouse tomato planting","authors":"Ding Wei-long, Xiong Fan-lun, Cheng Zhi-jun","doi":"10.1109/ICITA.2005.264","DOIUrl":null,"url":null,"abstract":"In order to improve the decision-making capability of the classical expert system of agriculture, an integrated mechanism of the agricultural expert system and the virtual plant growth model simulated the plant's figure is proposed by employing the idea of software integration. Making use of the virtual plant growth model, the decision-making capability of classical expert system can be improved and the decision result can be vividly expressed. The total structure, the modules, the construction of knowledge database, and the built process of the virtual tomato growth model of the greenhouse tomato's expert system are discussed in detail. Finally, an example of the system's application is presented.","PeriodicalId":371528,"journal":{"name":"Third International Conference on Information Technology and Applications (ICITA'05)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Information Technology and Applications (ICITA'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITA.2005.264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In order to improve the decision-making capability of the classical expert system of agriculture, an integrated mechanism of the agricultural expert system and the virtual plant growth model simulated the plant's figure is proposed by employing the idea of software integration. Making use of the virtual plant growth model, the decision-making capability of classical expert system can be improved and the decision result can be vividly expressed. The total structure, the modules, the construction of knowledge database, and the built process of the virtual tomato growth model of the greenhouse tomato's expert system are discussed in detail. Finally, an example of the system's application is presented.