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Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras
Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras
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Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras

Cen, Haiyan ; Wan, Liang ; Zhu, Jiangpeng ; Li, Yijian ; Li, Xiaoran ; Zhu, Yueming ; Weng, Haiyong ; Wu, Weikang ; Yin, Wenxin ; Xu, Chi ; Bao, Yidan ; Feng, Lei ; Shou, Jianyao ; He, Yong

Plant methods, 2019-03, Vol.15 (1), p.32-16, Article 32 [Periódico revisado por pares]

England: BioMed Central Ltd

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Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm
Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm
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Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm

Pan, Wen ; Wang, Xiaoyu ; Sun, Yan ; Wang, Jia ; Li, Yanjie ; Li, Sheng

Plant methods, 2023-01, Vol.19 (1), p.7-7, Article 7 [Periódico revisado por pares]

England: BioMed Central Ltd

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3
Accuracy assessment of plant height using an unmanned aerial vehicle for quantitative genomic analysis in bread wheat
Accuracy assessment of plant height using an unmanned aerial vehicle for quantitative genomic analysis in bread wheat
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Accuracy assessment of plant height using an unmanned aerial vehicle for quantitative genomic analysis in bread wheat

Hassan, Muhammad Adeel ; Yang, Mengjiao ; Fu, Luping ; Rasheed, Awais ; Zheng, Bangyou ; Xia, Xianchun ; Xiao, Yonggui ; He, Zhonghu

Plant methods, 2019-04, Vol.15 (1), p.37-37, Article 37 [Periódico revisado por pares]

England: BioMed Central Ltd

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4
THEMS: an automated thermal and hyperspectral proximal sensing system for canopy reflectance, radiance and temperature
THEMS: an automated thermal and hyperspectral proximal sensing system for canopy reflectance, radiance and temperature
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THEMS: an automated thermal and hyperspectral proximal sensing system for canopy reflectance, radiance and temperature

Woodgate, William ; van Gorsel, Eva ; Hughes, Dale ; Suarez, Lola ; Jimenez-Berni, Jose ; Held, Alex

Plant methods, 2020-07, Vol.16 (1), p.105-17, Article 105 [Periódico revisado por pares]

England: BioMed Central Ltd

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5
Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
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Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

Han, Liang ; Yang, Guijun ; Dai, Huayang ; Xu, Bo ; Yang, Hao ; Feng, Haikuan ; Li, Zhenhai ; Yang, Xiaodong

Plant methods, 2019-02, Vol.15 (1), p.10-10, Article 10 [Periódico revisado por pares]

England: BioMed Central Ltd

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6
Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava ( Manihot esculenta Crantz)
Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava ( Manihot esculenta Crantz)
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Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava ( Manihot esculenta Crantz)

Selvaraj, Michael Gomez ; Valderrama, Manuel ; Guzman, Diego ; Valencia, Milton ; Ruiz, Henry ; Acharjee, Animesh

Plant methods, 2020-06, Vol.16 (1), p.87-87, Article 87 [Periódico revisado por pares]

England: BioMed Central Ltd

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7
Estimation of cotton canopy parameters based on unmanned aerial vehicle (UAV) oblique photography
Estimation of cotton canopy parameters based on unmanned aerial vehicle (UAV) oblique photography
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Estimation of cotton canopy parameters based on unmanned aerial vehicle (UAV) oblique photography

Wu, Jinyong ; Wen, Sheng ; Lan, Yubin ; Yin, Xuanchun ; Zhang, Jiantao ; Ge, Yufeng

Plant methods, 2022-12, Vol.18 (1), p.129-129, Article 129 [Periódico revisado por pares]

England: BioMed Central Ltd

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8
An efficient RGB-UAV-based platform for field almond tree phenotyping: 3-D architecture and flowering traits
An efficient RGB-UAV-based platform for field almond tree phenotyping: 3-D architecture and flowering traits
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An efficient RGB-UAV-based platform for field almond tree phenotyping: 3-D architecture and flowering traits

López-Granados, Francisca ; Torres-Sánchez, Jorge ; Jiménez-Brenes, Francisco M ; Arquero, Octavio ; Lovera, María ; de Castro, Ana I

Plant methods, 2019-12, Vol.15 (1), p.160-160, Article 160 [Periódico revisado por pares]

England: BioMed Central Ltd

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9
Yield prediction by machine learning from UAS-based mulit-sensor data fusion in soybean
Yield prediction by machine learning from UAS-based mulit-sensor data fusion in soybean
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Yield prediction by machine learning from UAS-based mulit-sensor data fusion in soybean

Herrero-Huerta, Monica ; Rodriguez-Gonzalvez, Pablo ; Rainey, Katy M

Plant methods, 2020-06, Vol.16 (1), p.78-78 [Periódico revisado por pares]

England: BioMed Central Ltd

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10
Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season
Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season
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Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season

Gong, Yan ; Yang, Kaili ; Lin, Zhiheng ; Fang, Shenghui ; Wu, Xianting ; Zhu, Renshan ; Peng, Yi

Plant methods, 2021-08, Vol.17 (1), p.1-88, Article 88 [Periódico revisado por pares]

London: BioMed Central

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