Plant Protection (2011) 37, 165-169

Chun-Sen Ma, Peng He, Gang Ma and He-Ping Yang (2011)
Simplified identification model and an expert system for long-distance diagnosis of diseases and pests
Plant Protection 37 (3), 165-169
Abstract: To meet the urgent demands of farmers and agricultural extension service, we developed a simplified identification model to identify wheat diseases and pests. Firstly, all available information on wheat pests and diseases in China was collected. A name list including 35 diseases and 42 pests in total was prepared. Secondly, the occurrence phenology and damaged plant organs for most diseases and pests in the name list were entered. Thirdly, the remaining pests were differentiated by comparing symptoms, traces left by insects and significant morphological characteristics. At last, if necessary, the exact species of insects or phytopathogens are identified by observing the detailed morphological characteristics. We constructed a database that included detailed information on morphology, biology, ecology and control technology of the disease and pests described in texts and pictures. We developed a Long distance diagnosis system by incorporating the simplified identification model and database with internet technology. The system was tested and its accuracy reached 90.6%. The system is easy to use by plant protection experts, most farmers and extension workers.
(The abstract has been supplied by the author or ISPI and is excluded from the Creative Commons licence.)
(original language: Chinese)
Database assignments for author(s): Chun-Sen Ma

Research topic(s) for pests/diseases/weeds:
identification/taxonomy
surveys/sampling/distribution

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Pest and/or beneficial records:

Beneficial	Pest/Disease/Weed	Crop/Product	Country	Quarant.