Ghent University Academic Bibliography

Your filters: cql: author="He, Yong" or (type any "bookEditor issueEditor" and editor="He, Yong")

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- Journal Article
- A1
- open access
Delineation and optimization of cotton farmland management zone based on time series of soil-crop properties at landscape scale in south Xinjiang, China

Nan Wang, Dongyun Xu, Jie Xue, Xianglin Zhang, Yongsheng Hong, Jie Peng, Hongyi Li, Abdul Mouazen (UGent) , Yong He and Zhou Shi

(2023) SOIL & TILLAGE RESEARCH. 231.
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- Journal Article
- A1
- open access
Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields

Junfeng Gao, Andrew P. French, Michael P. Pound, Yong He, Tony P. Pridmore and Jan Pieters (UGent)

(2020) PLANT METHODS. 16(1).
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Automated spectral feature extraction from hyperspectral images to differentiate weedy rice and barnyard grass from a rice crop

Yanchao Zhang, Junfeng Gao, Haiyan Cen, Yonglian Lu, Xiaoyue Yu, Yong He and Jan Pieters (UGent)

(2019) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 159. p.42-49
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Recognising weeds in a maize crop using a random forest machine-learning algorithm and near-infrared snapshot mosaic hyperspectral imagery

Junfeng Gao, David Nuyttens, Peter Lootens, Yong He and Jan Pieters (UGent)

(2018) BIOSYSTEMS ENGINEERING. 170. p.39-50
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Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery

Junfeng Gao, Wenzhi Liao (UGent) , David Nuyttens, Peter Lootens, Jürgen Vangeyte, Aleksandra Pizurica (UGent) , Yong He and Jan Pieters (UGent)

(2018) INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION. 67. p.43-53

Academic Bibliography

Delineation and optimization of cotton farmland management zone based on time series of soil-crop properties at landscape scale in south Xinjiang, China

Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields

Automated spectral feature extraction from hyperspectral images to differentiate weedy rice and barnyard grass from a rice crop

Recognising weeds in a maize crop using a random forest machine-learning algorithm and near-infrared snapshot mosaic hyperspectral imagery

Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery

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