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Refinado por: Nome da Publicação: Computers And Electronics In Agriculture remover assunto: Machine Learning remover Life Sciences & Biomedicine remover
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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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2
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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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
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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5
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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6
Crop pest classification based on deep convolutional neural network and transfer learning
Crop pest classification based on deep convolutional neural network and transfer learning
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Crop pest classification based on deep convolutional neural network and transfer learning

Thenmozhi, K. ; Srinivasulu Reddy, U.

Computers and electronics in agriculture, 2019-09, Vol.164, p.104906, Article 104906 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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7
Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification
Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification
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Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification

Barbedo, Jayme Garcia Arnal

Computers and electronics in agriculture, 2018-10, Vol.153, p.46-53 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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8
Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence
Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence
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Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence

Partel, Victor ; Charan Kakarla, Sri ; Ampatzidis, Yiannis

Computers and electronics in agriculture, 2019-02, Vol.157, p.339-350 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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9
Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia
Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia
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Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia

Fernandes, Arthur F.A. ; Turra, Eduardo M. ; de Alvarenga, Érika R. ; Passafaro, Tiago L. ; Lopes, Fernando B. ; Alves, Gabriel F.O. ; Singh, Vikas ; Rosa, Guilherme J.M.

Computers and electronics in agriculture, 2020-03, Vol.170, p.105274, Article 105274 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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10
An in-field automatic wheat disease diagnosis system
An in-field automatic wheat disease diagnosis system
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An in-field automatic wheat disease diagnosis system

Lu, Jiang ; Hu, Jie ; Zhao, Guannan ; Mei, Fenghua ; Zhang, Changshui

Computers and electronics in agriculture, 2017-11, Vol.142, p.369-379 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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