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Refinado por: Nome da Publicação: Computers And Electronics In Agriculture remover assunto: Precision Agriculture remover
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Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming
Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming
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Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming

Ayoub Shaikh, Tawseef ; Rasool, Tabasum ; Rasheed Lone, Faisal

Computers and electronics in agriculture, 2022-07, Vol.198, p.107119, Article 107119 [Periódico revisado por pares]

Elsevier B.V

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12
YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems
YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems
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YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems

Dang, Fengying ; Chen, Dong ; Lu, Yuzhen ; Li, Zhaojian

Computers and electronics in agriculture, 2023-02, Vol.205, p.107655, Article 107655 [Periódico revisado por pares]

Elsevier B.V

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13
Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild
Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild
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Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild

Picon, Artzai ; Alvarez-Gila, Aitor ; Seitz, Maximiliam ; Ortiz-Barredo, Amaia ; Echazarra, Jone ; Johannes, Alexander

Computers and electronics in agriculture, 2019-06, Vol.161, p.280-290 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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14
An IoT based smart irrigation management system using Machine learning and open source technologies
An IoT based smart irrigation management system using Machine learning and open source technologies
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An IoT based smart irrigation management system using Machine learning and open source technologies

Goap, Amarendra ; Sharma, Deepak ; Shukla, A.K. ; Rama Krishna, C.

Computers and electronics in agriculture, 2018-12, Vol.155, p.41-49 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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15
A survey of public datasets for computer vision tasks in precision agriculture
A survey of public datasets for computer vision tasks in precision agriculture
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A survey of public datasets for computer vision tasks in precision agriculture

Lu, Yuzhen ; Young, Sierra

Computers and electronics in agriculture, 2020-11, Vol.178, p.105760, Article 105760 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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16
Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach
Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach
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Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach

Kerkech, Mohamed ; Hafiane, Adel ; Canals, Raphael

Computers and electronics in agriculture, 2020-07, Vol.174, p.105446, Article 105446 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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17
Failure to scale in digital agronomy: An analysis of site-specific nutrient management decision-support tools in developing countries
Failure to scale in digital agronomy: An analysis of site-specific nutrient management decision-support tools in developing countries
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Failure to scale in digital agronomy: An analysis of site-specific nutrient management decision-support tools in developing countries

Sida, Tesfaye Shiferaw ; Gameda, Samuel ; Chamberlin, Jordan ; Andersson, Jens A. ; Getnet, Mezegebu ; Woltering, Lennart ; Craufurd, Peter

Computers and electronics in agriculture, 2023-09, Vol.212, p.108060-None, Article 108060 [Periódico revisado por pares]

Elsevier B.V

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18
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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19
Citrus rootstock evaluation utilizing UAV-based remote sensing and artificial intelligence
Citrus rootstock evaluation utilizing UAV-based remote sensing and artificial intelligence
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Citrus rootstock evaluation utilizing UAV-based remote sensing and artificial intelligence

Ampatzidis, Yiannis ; Partel, Victor ; Meyering, Bo ; Albrecht, Ute

Computers and electronics in agriculture, 2019-09, Vol.164, p.104900, Article 104900 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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20
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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