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Refinado por: Nome da Publicação: Computers And Electronics In Agriculture remover assunto: Life Sciences & Biomedicine remover
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1
A review of computer vision technologies for plant phenotyping
A review of computer vision technologies for plant phenotyping
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A review of computer vision technologies for plant phenotyping

Li, Zhenbo ; Guo, Ruohao ; Li, Meng ; Chen, Yaru ; Li, Guangyao

Computers and electronics in agriculture, 2020-09, Vol.176, p.105672, Article 105672 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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2
Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review
Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review
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Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review

Patrício, Diego Inácio ; Rieder, Rafael

Computers and electronics in agriculture, 2018-10, Vol.153, p.69-81 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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3
Multiclass classification of dry beans using computer vision and machine learning techniques
Multiclass classification of dry beans using computer vision and machine learning techniques
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Multiclass classification of dry beans using computer vision and machine learning techniques

Koklu, Murat ; Ozkan, Ilker Ali

Computers and electronics in agriculture, 2020-07, Vol.174, p.105507, Article 105507 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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4
A survey of public datasets for computer vision tasks in precision agriculture
A survey of public datasets for computer vision tasks in precision agriculture
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A survey of public datasets for computer vision tasks in precision agriculture

Lu, Yuzhen ; Young, Sierra

Computers and electronics in agriculture, 2020-11, Vol.178, p.105760, Article 105760 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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5
Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments
Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments
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Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments

Wu, Dihua ; Lv, Shuaichao ; Jiang, Mei ; Song, Huaibo

Computers and electronics in agriculture, 2020-11, Vol.178, p.105742, Article 105742 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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6
Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review
Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review
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Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review

Lu, Yuzhen ; Chen, Dong ; Olaniyi, Ebenezer ; Huang, Yanbo

Computers and electronics in agriculture, 2022-09, Vol.200, p.107208, Article 107208 [Periódico revisado por pares]

Elsevier B.V

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7
Drones in agriculture: A review and bibliometric analysis
Drones in agriculture: A review and bibliometric analysis
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Drones in agriculture: A review and bibliometric analysis

Rejeb, Abderahman ; Abdollahi, Alireza ; Rejeb, Karim ; Treiblmaier, Horst

Computers and electronics in agriculture, 2022-07, Vol.198, p.107017, Article 107017 [Periódico revisado por pares]

Elsevier B.V

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8
A survey of deep learning techniques for weed detection from images
A survey of deep learning techniques for weed detection from images
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A survey of deep learning techniques for weed detection from images

Hasan, A S M Mahmudul ; Sohel, Ferdous ; Diepeveen, Dean ; Laga, Hamid ; Jones, Michael G.K.

Computers and electronics in agriculture, 2021-05, Vol.184, p.106067, Article 106067 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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9
Apple detection during different growth stages in orchards using the improved YOLO-V3 model
Apple detection during different growth stages in orchards using the improved YOLO-V3 model
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Apple detection during different growth stages in orchards using the improved YOLO-V3 model

Tian, Yunong ; Yang, Guodong ; Wang, Zhe ; Wang, Hao ; Li, En ; Liang, Zize

Computers and electronics in agriculture, 2019-02, Vol.157, p.417-426 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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10
Deep learning for classification and severity estimation of coffee leaf biotic stress
Deep learning for classification and severity estimation of coffee leaf biotic stress
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Deep learning for classification and severity estimation of coffee leaf biotic stress

Esgario, José G.M. ; Krohling, Renato A. ; Ventura, José A.

Computers and electronics in agriculture, 2020-02, Vol.169, p.105162, Article 105162 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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