Building expert diagnosis system for bamboo pests based on Lucid multi-way identification
doi: 10.11833/j.issn.2095-0756.2016.01.017
国家林业公益性行业科研专项重大项目(201304403)
- Received Date: 2015-03-16
- Rev Recd Date: 2015-04-28
- Publish Date: 2016-02-20
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Key words:
- forest protection /
- bamboo pests /
- Lucid software /
- multi-way retrieval /
- intelligent diagnosis
Abstract: Bamboo is an economically important forest in subtropical China. With the further intensive bamboo management, bamboo pests have become increasingly serious, posing severe threat to the production and quality of the bamboo plantation. Research on bamboo pests has got a very good understanding of the pest species diagnosis, biology, and pests prevention and control. But bamboo farmers and grass-root agricultural technicians have little knowledge of pests and therefore they need experts to help with diagnosis and then they know how to control the pests. Lucid developed by Queensland University is a excellent software for linking the professional knowledge and technology application. The basic biological information of total 48 bamboo pests was collected via literature review and field investigation, including 12 species feeding on bamboo shoot, 23 species feeding on bamboo leaf and 13 species feeding on bamboo stem; 824 high-resolution pictures were taken or authorized. All the bamboo pests information was well organized in fact sheet fusion database. Moreover, in order to construct an expert diagnosis system by Lucid professional Ⅴ3.5 software, 6 characters including the damage period, the damage parts, preferred bamboo species, the way of damage, the damage symptoms and pest morphological characters, 74 derivative characters, 189 feature statuses and their typical photos were selected. The system provides multi-way retrieving by any familiar pest characters, helps the users for effective identification and diagnosis of bamboo pests, which is expected to provide useful information for effective control of bamboo pests and promote the healthy development of bamboo industry. [Ch, 4 fig. 1 tab. 29 ref.]
Citation: | LI Juan1, ZHANG Xiaobin, XUE Jiao, HUANG Junhao, WU Hong. Building expert diagnosis system for bamboo pests based on Lucid multi-way identification[J]. Journal of Zhejiang A&F University, 2016, 33(1): 122-129. doi: 10.11833/j.issn.2095-0756.2016.01.017 |