DocumentCode :
3435973
Title :
Research on growth model management system of fruit tree based on modern information technology
Author :
Song Jianwei ; Fan Yabin ; Wu Shuomei ; Du Xiaoning
Author_Institution :
Dept. of Comput., Shijiazhuang Univ., Shijiazhuang, China
fYear :
2011
fDate :
3-5 Aug. 2011
Firstpage :
1103
Lastpage :
1106
Abstract :
Considering the growth and management of fruit tree, intelligent decision management technology based on modern information technology improves the quality of fruit tree production and meets the needs of modern agriculture, agricultural information technology includes neural networks, ontology, expert system, decision support system etc, and growth model has the function which can predict and manage, the system can regard various parameters of different conditions as input factors, is used to provide pruning, irrigation, fertilization, yield prediction, cultivation and management, model prediction, dynamic control, decision-making and so on, achieve the close combination of theory research and production practice of expert system, and make full use of the advantage of fruit tree growth models and expert system, then provide technical support and management decision services for the management of fruit tree.
Keywords :
agriculture; crops; decision making; decision support systems; expert systems; ontologies (artificial intelligence); agricultural information technology; cultivation; decision making; decision support system; dynamic control; expert system; fertilization; fruit tree growth model; growth model management system; intelligent decision management technology; irrigation; model prediction; modern information technology; ontology; production practice; pruning; yield prediction; Agriculture; Biological system modeling; Computational modeling; Databases; Expert systems; Ontologies; Vegetation; fruit tree; growth model; information technology; management system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
Type :
conf
DOI :
10.1109/ICCSE.2011.6028827
Filename :
6028827
Link To Document :
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