Citrus disease detection using convolution neural network generated features and Softmax classifier on hyperspectral image data. [PDF]
Yadav PK +5 more
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A multi-scale parallel weighted fusion dynamic attention method for citrus leaf disease recognitions. [PDF]
Wu B, Gao K, Gu J, Yan G.
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Detection of citrus diseases in complex backgrounds based on image-text multimodal fusion and knowledge assistance. [PDF]
Qiu X +9 more
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Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Alimentos, Florianópolis, 2023.O camarão (Litopenaeus vannamei) é um crustáceo altamente perecível, devido principalmente ao ...
César, Leiliane Teles
core
YOLO-Citrus: a lightweight and efficient model for citrus leaf disease detection in complex agricultural environments. [PDF]
Feng W, Liu J, Li Z, Lyu S.
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Abundant Genetic Diversity and Extensive Differentiation among Geographic Populations of the Citrus Pathogen <i>Diaporthe citri</i> in Southern China. [PDF]
Xiong T +8 more
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A lightweight LBM detection transformer with multi-scale feature fusion for citrus-picking robots. [PDF]
Gao K, Wu B, Gu J, Yan G.
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Supervised Hyperspectral Band Selection Using Texture Features for Classification of Citrus Leaf Diseases with YOLOv8. [PDF]
Frederick Q +6 more
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Editorial: Current insights in melanoma immunology, immune escape and immunotherapy advances. [PDF]
Ziogas DC +4 more
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YOLOv10-LGDA: An Improved Algorithm for Defect Detection in Citrus Fruits Across Diverse Backgrounds. [PDF]
Wang L, Ye R, Chen Y, Li T.
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