A Method for Predicting Trap Counts of Stored-Grain Insects Based on Machine Learning
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications, School of Artificial Intelligence,Beijing,China,100876
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10389812/10388494/10390662.pdf?arnumber=10390662
Reference13 articles.
1. Comparison of insect detection efficiency by different detection methods
2. Advances in detection methods of stored grain insects;Ruotsalainen;Journal of the Chinese Cereals and Oils Association,2022
3. Techniques for insect detection in stored food grains: An overview
4. A Computer-based Electronic Fall-through Probe Insect Counter for Monitoring Infestation in Stored Products
5. Monitoring System Counts Insects, Identifies Species;Core;Agricultural Research,2003
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