Pest diagnosis system based on deep learning using collective intelligence
Author:
Affiliation:
1. Department of Computer Engineering, Kongju National University, Gongju, Republic of Korea
2. Department of Computer Science and Engineering, Kongju National University, Gongju, Republic of Korea
Publisher
SAGE Publications
Subject
Electrical and Electronic Engineering,Education
Link
http://journals.sagepub.com/doi/pdf/10.1177/0020720919833052
Reference15 articles.
1. Web-based expert systems: benefits and challenges
2. AMRAPALIKA: An expert system for the diagnosis of pests, diseases, and disorders in Indian mango
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