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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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2
Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN
Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN
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Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN

Yu, Yang ; Zhang, Kailiang ; Yang, Li ; Zhang, Dongxing

Computers and electronics in agriculture, 2019-08, Vol.163, p.104846, Article 104846 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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3
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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4
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
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Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

Chlingaryan, Anna ; Sukkarieh, Salah ; Whelan, Brett

Computers and electronics in agriculture, 2018-08, Vol.151, p.61-69 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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5
Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection
Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection
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Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection

Sharif, Muhammad ; Khan, Muhammad Attique ; Iqbal, Zahid ; Azam, Muhammad Faisal ; Lali, M. Ikram Ullah ; Javed, Muhammad Younus

Computers and electronics in agriculture, 2018-07, Vol.150, p.220-234 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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6
Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges
Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges
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Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges

Ojha, Tamoghna ; Misra, Sudip ; Raghuwanshi, Narendra Singh

Computers and electronics in agriculture, 2015-10, Vol.118, p.66-84 [Periódico revisado por pares]

Elsevier B.V

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7
Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association
Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association
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Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association

Santos, Thiago T. ; de Souza, Leonardo L. ; dos Santos, Andreza A. ; Avila, Sandra

Computers and electronics in agriculture, 2020-03, Vol.170, p.105247, Article 105247 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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8
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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9
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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10
An automated detection and classification of citrus plant diseases using image processing techniques: A review
An automated detection and classification of citrus plant diseases using image processing techniques: A review
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An automated detection and classification of citrus plant diseases using image processing techniques: A review

Iqbal, Zahid ; Khan, Muhammad Attique ; Sharif, Muhammad ; Shah, Jamal Hussain ; ur Rehman, Muhammad Habib ; Javed, Kashif

Computers and electronics in agriculture, 2018-10, Vol.153, p.12-32 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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