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Two-step ResUp&Down generative adversarial network to reconstruct multispectral image from aerial RGB image
Two-step ResUp&Down generative adversarial network to reconstruct multispectral image from aerial RGB image
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Two-step ResUp&Down generative adversarial network to reconstruct multispectral image from aerial RGB image

Zhang, Yanchao ; Yang, Wen ; Zhang, Wenbo ; Yu, Jiya ; Zhang, Jianxin ; Yang, Yongjie ; Lu, Yongliang ; Tang, Wei

Computers and electronics in agriculture, 2022-01, Vol.192, p.106617, Article 106617 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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12
A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network
A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network
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A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network

Ma, Juncheng ; Du, Keming ; Zheng, Feixiang ; Zhang, Lingxian ; Gong, Zhihong ; Sun, Zhongfu

Computers and electronics in agriculture, 2018-11, Vol.154, p.18-24 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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13
Using deep transfer learning for image-based plant disease identification
Using deep transfer learning for image-based plant disease identification
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Using deep transfer learning for image-based plant disease identification

Chen, Junde ; Chen, Jinxiu ; Zhang, Defu ; Sun, Yuandong ; Nanehkaran, Y.A.

Computers and electronics in agriculture, 2020-06, Vol.173, p.105393, Article 105393 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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14
Deep images enhancement for turbid underwater images based on unsupervised learning
Deep images enhancement for turbid underwater images based on unsupervised learning
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Deep images enhancement for turbid underwater images based on unsupervised learning

Zhou, Wen-Hui ; Zhu, Deng-Ming ; Shi, Min ; Li, Zhao-Xin ; Duan, Ming ; Wang, Zhao-Qi ; Zhao, Guo-Liang ; Zheng, Cheng-Dong

Computers and electronics in agriculture, 2022-11, Vol.202, p.107372, Article 107372 [Periódico revisado por pares]

Elsevier B.V

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15
Robust plant segmentation of color images based on image contrast optimization
Robust plant segmentation of color images based on image contrast optimization
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Robust plant segmentation of color images based on image contrast optimization

Lu, Yuzhen ; Young, Sierra ; Wang, Haifeng ; Wijewardane, Nuwan

Computers and electronics in agriculture, 2022-02, Vol.193, p.106711, Article 106711 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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16
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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17
Few-Shot Learning approach for plant disease classification using images taken in the field
Few-Shot Learning approach for plant disease classification using images taken in the field
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Few-Shot Learning approach for plant disease classification using images taken in the field

Argüeso, David ; Picon, Artzai ; Irusta, Unai ; Medela, Alfonso ; San-Emeterio, Miguel G ; Bereciartua, Arantza ; Alvarez-Gila, Aitor

Computers and electronics in agriculture, 2020-08, Vol.175, p.105542, Article 105542 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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18
Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images
Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images
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Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images

Kerkech, Mohamed ; Hafiane, Adel ; Canals, Raphael

Computers and electronics in agriculture, 2018-12, Vol.155, p.237-243 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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19
Vineyard detection from unmanned aerial systems images
Vineyard detection from unmanned aerial systems images
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Vineyard detection from unmanned aerial systems images

Comba, Lorenzo ; Gay, Paolo ; Primicerio, Jacopo ; Ricauda Aimonino, Davide

Computers and electronics in agriculture, 2015-06, Vol.114, p.78-87 [Periódico revisado por pares]

Elsevier B.V

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20
Fast detection and location of longan fruits using UAV images
Fast detection and location of longan fruits using UAV images
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Fast detection and location of longan fruits using UAV images

Li, Denghui ; Sun, Xiaoxuan ; Elkhouchlaa, Hamza ; Jia, Yuhang ; Yao, Zhongwei ; Lin, Peiyi ; Li, Jun ; Lu, Huazhong

Computers and electronics in agriculture, 2021-11, Vol.190, p.106465, Article 106465 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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Deste Autor:

  1. Soares, V
  2. Campello, R
  3. Ponti, M
  4. Melo, G
  5. Silva, F

Neste Assunto:

  1. Computer Science
  2. Technology
  3. Agriculture
  4. Agriculture, Multidisciplinary
  5. Life Sciences & Biomedicine

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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