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Intelligent Identification of Jute Pests Based on Transfer Learning and Deep Convolutional Neural Networks
Pest attacks pose a substantial threat to jute production and other significant crop plants. Jute farmers in Bangladesh generally distinguish between different pests that appear to be the same using their eyes and expertise, which isn't always accurate. We developed an intelligent model for jut...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer US
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376051/ https://www.ncbi.nlm.nih.gov/pubmed/35990859 http://dx.doi.org/10.1007/s11063-022-10978-4 |