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In this paper, the method of automatic identification of three wheat diseases was applied by analyzing the morphological characteristics extracted from their images. The target area was got by segmenting three kinds of wheat diseases images on wheat powdery mildew, wheat sharp eyespot, and wheat stripe rust. Via extracting and optimizing the morphological(More)
Being numerous, the insect and disease pests were organized within classifications described as a dendriform hierarchical (tree-shape) structure. The data of the structure were managed by database management system (DBMS), tables were designed to store the information about the species/category and related characteristics. The characteristics were related(More)
Researches on insect image identification increase rapidly but are limited by the source images. Based on the datasets in computer vision research and existing insect image datasets, we plan to create a sharing data platform for insect image researches and we have created a prototype system. Considering insect image research many sub fields and the database(More)
The Internet provides a fertile ground for research and development of intelligent software applications. An Internet-Based Expert System was designed to be a platform or tool for experts to organize the knowledge related to the agricultural pest species/category and their characteristics according to their features and to establish the application expert(More)
One of the effective methods to prevent the excessive extending of alien invasive species is to really master their epidemic trends and to take appropriate measures to control them. So, the information management system for monitoring alien invasive species based on the integrated technology was developed to provide the information services for the(More)
Internet cannot provide perfect information services for farmers in rural regions in China, because farmers in rural regions can hardly access the internet by now. But the wide coverage of mobile signal, telephone line, and television network, etc. gave us a chance to solve the problem. The integrated pest management platform of Northern fruit trees were(More)
Chemosensory proteins (CSPs) are identifiable by four spatially conserved Cysteine residues in their primary structure or by two disulfide bridges in their tertiary structure according to the previously identified olfactory specific-D related proteins. A genomics- and bioinformatics-based approach is taken in the present study to identify the putative CSPs(More)
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