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Development of a UAV-borne sorbent tube sampler and its application on the vertical profile measurement of volatile organic compounds
Development of a UAV-borne sorbent tube sampler and its application on the vertical profile measurement of volatile organic compounds
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Development of a UAV-borne sorbent tube sampler and its application on the vertical profile measurement of volatile organic compounds

Zhai, Haiyue ; Zhou, Jiacheng ; Zhao, Weixiong ; Du, Wanli ; Wei, Nana ; Liu, Qianqian ; Wang, Shuo ; Zhang, Jianguo ; Cui, Weihua ; Zhang, Weijun ; Lu, Yanyu ; Zhu, Zhu ; Liu, Yue

Journal of environmental sciences (China), 2025-06, Vol.152, p.276-286 [Periódico revisado por pares]

Elsevier B.V

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Case study of UAS ignition of prescribed fire in a mixedwood on the William B. Bankhead National Forest, Alabama
Case study of UAS ignition of prescribed fire in a mixedwood on the William B. Bankhead National Forest, Alabama
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Case study of UAS ignition of prescribed fire in a mixedwood on the William B. Bankhead National Forest, Alabama

Craycroft, John ; Schweitzer, Callie

Fire ecology, 2024-12, Vol.20 (1), p.33, Article 33 [Periódico revisado por pares]

Cham: Springer International Publishing

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3
Machine Learning for the estimation of foliar nitrogen content in pineapple crops using multispectral images and Internet of Things (IoT) platforms
Machine Learning for the estimation of foliar nitrogen content in pineapple crops using multispectral images and Internet of Things (IoT) platforms
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Machine Learning for the estimation of foliar nitrogen content in pineapple crops using multispectral images and Internet of Things (IoT) platforms

Chaparro, Jorge Enrique ; Aedo, José Edinson ; Lumbreras Ruiz, Felipe

Journal of agriculture and food research, 2024-12, Vol.18, p.101208, Article 101208 [Periódico revisado por pares]

Elsevier B.V

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4
Improved estimation of cotton (Gossypium hirsutum L.) LAI from multispectral data using UAV point cloud data
Improved estimation of cotton (Gossypium hirsutum L.) LAI from multispectral data using UAV point cloud data
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Improved estimation of cotton (Gossypium hirsutum L.) LAI from multispectral data using UAV point cloud data

Zhang, Lechun ; Sun, Binshu ; Zhao, Denan ; Shan, Changfeng ; Wang, Baoju ; Wang, Guobin ; Song, Cancan ; Chen, Pengchao ; Lan, Yubin

Industrial crops and products, 2024-10, Vol.217, p.118851, Article 118851 [Periódico revisado por pares]

Elsevier B.V

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5
Evaluating methods for marine fuel sulfur content using microsensor sniffing systems on ocean-going vessels
Evaluating methods for marine fuel sulfur content using microsensor sniffing systems on ocean-going vessels
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Evaluating methods for marine fuel sulfur content using microsensor sniffing systems on ocean-going vessels

Yang, Shiyi ; Ghadikolaei, Meisam Ahmadi ; Gali, Nirmal Kumar ; Xu, Zhefeng ; Chu, Mengyuan ; Qin, Xiaoliang ; Ning, Zhi

The Science of the total environment, 2024-09, Vol.942, p.173765, Article 173765 [Periódico revisado por pares]

Elsevier B.V

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6
Evaluating Coastal Wetland Restoration Using Drones and High-Resolution Imagery
Evaluating Coastal Wetland Restoration Using Drones and High-Resolution Imagery
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Evaluating Coastal Wetland Restoration Using Drones and High-Resolution Imagery

Harris, J. Mason ; Broussard, Whitney P. ; Nelson, James A.

Estuaries and coasts, 2024-09, Vol.47 (6), p.1359-1375 [Periódico revisado por pares]

New York: Springer US

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7
Improved estimation of canopy water status in cotton using vegetation indices along with textural information from UAV-based multispectral images
Improved estimation of canopy water status in cotton using vegetation indices along with textural information from UAV-based multispectral images
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Improved estimation of canopy water status in cotton using vegetation indices along with textural information from UAV-based multispectral images

Pei, Shengzhao ; Dai, Yulong ; Bai, Zhentao ; Li, Zhijun ; Zhang, Fucang ; Yin, Feihu ; Fan, Junliang

Computers and electronics in agriculture, 2024-09, Vol.224, p.109176, Article 109176 [Periódico revisado por pares]

Elsevier B.V

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8
Spatial pattern and formation mechanism of predominant species using an unmanned aerial vehicle in the Gobi area, southern slopes of the Tianshan Mountain Range
Spatial pattern and formation mechanism of predominant species using an unmanned aerial vehicle in the Gobi area, southern slopes of the Tianshan Mountain Range
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Spatial pattern and formation mechanism of predominant species using an unmanned aerial vehicle in the Gobi area, southern slopes of the Tianshan Mountain Range

Zhang, Heyu ; Li, Zhipeng ; Ding, Jie ; Zhang, Pu ; Feng, Yiming ; Guan, Wenke ; Cao, Xiaoming

Ecological indicators, 2024-09, Vol.166, p.112298, Article 112298 [Periódico revisado por pares]

Elsevier Ltd

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9
Drift potential and coverage ratio analysis of an air induction nozzle under an agricultural drone with various operating condition; an indoor test
Drift potential and coverage ratio analysis of an air induction nozzle under an agricultural drone with various operating condition; an indoor test
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Drift potential and coverage ratio analysis of an air induction nozzle under an agricultural drone with various operating condition; an indoor test

Alidoost Dafsari, Reza ; Yu, Sanghyeon ; Yu, Seunghwa ; Choi, Yong ; Lee, Jeekeun

Computers and electronics in agriculture, 2024-09, Vol.224, p.109171, Article 109171 [Periódico revisado por pares]

Elsevier B.V

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10
Crop aboveground biomass monitoring model based on UAV spectral index reconstruction and Bayesian model averaging: A case study of film-mulched wheat and maize
Crop aboveground biomass monitoring model based on UAV spectral index reconstruction and Bayesian model averaging: A case study of film-mulched wheat and maize
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Crop aboveground biomass monitoring model based on UAV spectral index reconstruction and Bayesian model averaging: A case study of film-mulched wheat and maize

Cheng, Zhikai ; Gu, Xiaobo ; Zhou, Zhihui ; Yin, Rui ; Zheng, Xiaobo ; Li, Wenlong ; Cai, Wenjing ; Chang, Tian ; Du, Yadan

Computers and electronics in agriculture, 2024-09, Vol.224, p.109190, Article 109190 [Periódico revisado por pares]

Elsevier B.V

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