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Refinado por: Nome da Publicação: Computers And Electronics In Agriculture remover assunto: Precision Agriculture remover Forestry remover
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Systematic literature review of implementations of precision agriculture
Systematic literature review of implementations of precision agriculture
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Systematic literature review of implementations of precision agriculture

Cisternas, Isabel ; Velásquez, Ignacio ; Caro, Angélica ; Rodríguez, Alfonso

Computers and electronics in agriculture, 2020-09, Vol.176, p.105626, Article 105626 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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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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3
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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4
An overview of current and potential applications of thermal remote sensing in precision agriculture
An overview of current and potential applications of thermal remote sensing in precision agriculture
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An overview of current and potential applications of thermal remote sensing in precision agriculture

Khanal, Sami ; Fulton, John ; Shearer, Scott

Computers and electronics in agriculture, 2017-06, Vol.139, p.22-32 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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5
Automatic moth detection from trap images for pest management
Automatic moth detection from trap images for pest management
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Automatic moth detection from trap images for pest management

Ding, Weiguang ; Taylor, Graham

Computers and electronics in agriculture, 2016-04, Vol.123, p.17-28 [Periódico revisado por pares]

Elsevier B.V

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6
Estimating leaf chlorophyll content of crops via optimal unmanned aerial vehicle hyperspectral data at multi-scales
Estimating leaf chlorophyll content of crops via optimal unmanned aerial vehicle hyperspectral data at multi-scales
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Estimating leaf chlorophyll content of crops via optimal unmanned aerial vehicle hyperspectral data at multi-scales

Zhu, Wanxue ; Sun, Zhigang ; Yang, Ting ; Li, Jing ; Peng, Jinbang ; Zhu, Kangying ; Li, Shiji ; Gong, Huarui ; Lyu, Yun ; Li, Binbin ; Liao, Xiaohan

Computers and electronics in agriculture, 2020-11, Vol.178, p.105786, Article 105786 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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7
Monitoring the vegetation vigor in heterogeneous citrus and olive orchards. A multiscale object-based approach to extract trees’ crowns from UAV multispectral imagery
Monitoring the vegetation vigor in heterogeneous citrus and olive orchards. A multiscale object-based approach to extract trees’ crowns from UAV multispectral imagery
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Monitoring the vegetation vigor in heterogeneous citrus and olive orchards. A multiscale object-based approach to extract trees’ crowns from UAV multispectral imagery

Modica, Giuseppe ; Messina, Gaetano ; De Luca, Giandomenico ; Fiozzo, Vincenzo ; Praticò, Salvatore

Computers and electronics in agriculture, 2020-08, Vol.175, p.105500, Article 105500 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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8
The role of RFID in agriculture: Applications, limitations and challenges
The role of RFID in agriculture: Applications, limitations and challenges
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The role of RFID in agriculture: Applications, limitations and challenges

Ruiz-Garcia, Luis ; Lunadei, Loredana

Computers and electronics in agriculture, 2011-10, Vol.79 (1), p.42-50 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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9
Sensing technologies for precision specialty crop production
Sensing technologies for precision specialty crop production
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Sensing technologies for precision specialty crop production

Lee, W.S. ; Alchanatis, V. ; Yang, C. ; Hirafuji, M. ; Moshou, D. ; Li, C.

Computers and electronics in agriculture, 2010-10, Vol.74 (1), p.2-33 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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10
Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions
Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions
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Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions

Palacios, Fernando ; Bueno, Gloria ; Salido, Jesús ; Diago, Maria P. ; Hernández, Inés ; Tardaguila, Javier

Computers and electronics in agriculture, 2020-11, Vol.178, p.105796, Article 105796 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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