Intelligent Identification of Jute Pests Based on Transfer Learning and Deep Convolutional Neural Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s11063-022-10978-4.pdf
Reference44 articles.
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2. Zhang L, Ma X, Zhang X, Xu Y, Ibrahim AK, Yao J et al (2021) Reference genomes of the two cultivated jute species. Plant Biotechnol J 19(11):2235–2248
3. Khan MMH (2018) Evaluation of different mutants against insect and mite pests with natural enemies in coastal jute ecosystem. J Asiatic Soc Bangladesh Sci 44(1):23–33
4. Li K, Yang QH, Zhi HJ, Gai JY (2010) Identification and distribution of soybean mosaic virus strains in southern China. Plant Dis 94(3):351–357
5. Wan FH, Yang NW (2016) Invasion and management of agricultural alien insects in China. Annu Rev Entomol 61:77–98
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