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1
From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges
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From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges

Liu, Ye ; Ma, Xiaoyuan ; Shu, Lei ; Hancke, Gerhard Petrus ; Abu-Mahfouz, Adnan M.

IEEE transactions on industrial informatics, 2021-06, Vol.17 (6), p.4322-4334

Piscataway: IEEE

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2
Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture
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Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture

Khanna, Abhishek ; Kaur, Sanmeet

Computers and electronics in agriculture, 2019-02, Vol.157, p.218-231 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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3
Drones in agriculture: A review and bibliometric analysis
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Artigo
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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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4
Technological revolutions in smart farming: Current trends, challenges & future directions
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Technological revolutions in smart farming: Current trends, challenges & future directions

Sharma, Vivek ; Tripathi, Ashish Kumar ; Mittal, Himanshu

Computers and electronics in agriculture, 2022-10, Vol.201, p.107217, Article 107217 [Periódico revisado por pares]

Elsevier B.V

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5
Systematic literature review of implementations of precision agriculture
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Artigo
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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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6
Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence
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Artigo
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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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7
How many gigabytes per hectare are available in the digital agriculture era? A digitization footprint estimation
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Artigo
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How many gigabytes per hectare are available in the digital agriculture era? A digitization footprint estimation

Kayad, Ahmed ; Sozzi, Marco ; Paraforos, Dimitrios S. ; Rodrigues, Francelino A. ; Cohen, Yafit ; Fountas, Spyros ; Francisco, Medel-Jimenez ; Pezzuolo, Andrea ; Grigolato, Stefano ; Marinello, Francesco

Computers and electronics in agriculture, 2022-07, Vol.198, p.107080, Article 107080 [Periódico revisado por pares]

Elsevier B.V

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8
Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence
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Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence

Ampatzidis, Yiannis ; Partel, Victor ; Costa, Lucas

Computers and electronics in agriculture, 2020-07, Vol.174, p.105457, Article 105457 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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9
Integrating blockchain and the internet of things in precision agriculture: Analysis, opportunities, and challenges
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Integrating blockchain and the internet of things in precision agriculture: Analysis, opportunities, and challenges

Torky, Mohamed ; Hassanein, Aboul Ella

Computers and electronics in agriculture, 2020-11, Vol.178, p.105476, Article 105476 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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10
A review on weed detection using ground-based machine vision and image processing techniques
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A review on weed detection using ground-based machine vision and image processing techniques

Wang, Aichen ; Zhang, Wen ; Wei, Xinhua

Computers and electronics in agriculture, 2019-03, Vol.158, p.226-240 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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