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Multi-convolutional neural networks for cotton disease detection using synergistic deep learning paradigm.

Cotton is a major cash crop, and increasing its production is extremely important worldwide, especially in agriculture-led economies. The crop is susceptible to various diseases, leading to decreased yields. In recent years, advancements in deep learning methods have enabled researchers to develop a...

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שמור ב:
מידע ביבליוגרפי
Principais autores: Afira Aslam, Syed Muhammad Usman, Muhammad Zubair, Amanullah Yasin, Muhammad Owais, Irfan Hussain
פורמט: Artigo
שפה:Inglês
יצא לאור: Public Library of Science (PLoS) 2025-01-01
סדרה:PLoS ONE
גישה מקוונת:https://doi.org/10.1371/journal.pone.0324293
תגים: הוספת תג
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