DocumentCode
3023582
Title
Expert Consulting Service Platform for Forest Pests and Diseases Prevention of Rapid-Growing and High-Yield Forest in Northeast of China
Author
Nihong, Wang ; Dan, Li ; Hua, Pan ; Yanrong, Zhang
Author_Institution
Coll. of Inf. & Comput. Eng., Northeast Forestry Univ., Harbin, China
Volume
4
fYear
2009
fDate
7-8 Nov. 2009
Firstpage
151
Lastpage
155
Abstract
This paper analyzed the principal problems of forest pest and disease prevention in cultivating rapid-growing and high-yield forest. As the farmers and technicians lack expert guidance in preventing forest pests and diseases and the deficiency of consultant experts on the ground floor, a new consulting service system platform with multi-functions integrating forest pests forecasting, diagnosis, prevention and control were constructed. It is based on B/S structure by using J2EE-based open source framework. With the platform the users can get the explicit instructions from Internet Explorer. The platform not only provides effective scientific advice and technical supports for large number of foresters and forest corporations, but also reduces reforestation risks and enlarges forest productivity. Moreover, the platform can also be used for training and educational purposes.
Keywords
Java; diseases; forestry; public domain software; Internet Explorer; J2EE-based open source framework; diseases prevention; expert consulting service platform; forest pests forecasting; high-yield forest; Artificial intelligence; Computational intelligence; Control systems; Diseases; Ecosystems; Educational institutions; Forestry; Investments; Paper technology; Production; construction of forestry communication; diagnosis of foreat diseases and pests; expert consulting service platform; forest pests forecasting; rapid-growing and high-yield forest;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3835-8
Electronic_ISBN
978-0-7695-3816-7
Type
conf
DOI
10.1109/AICI.2009.164
Filename
5376397
Link To Document