Computer vision model for sorghum aphid detection using deep learning
Author:
Publisher
Elsevier BV
Subject
Agricultural and Biological Sciences (miscellaneous),Agronomy and Crop Science,Food Science
Reference20 articles.
1. Sugarcane aphid (Hemiptera: aphididae): a new pest on sorghum in North America;Bowling;Journal of Integrated Pest Management,2016
2. Calculation of economic-injury levels and economic thresholds for pest management;Onstad;J. Econ. Entomol.,1987
3. Development of economic thresholds for sugarcane aphid (Hemiptera: aphididae) in susceptible grain sorghum hybrids;Gordy;J. Econ. Entomol.,2019
4. Development of binomial sequential sampling plans for sugarcane aphid (Hemiptera: aphididae) in commercial grain sorghum;Lindenmayer;J. Econ. Entomol.,2020
5. A segmentation algorithm incorporating superpixel block and holistically nested edge for sugarcane aphids images under natural light conditions;Xu;Biosyst. Eng.,2022
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