Publications
Seleted Publications
Chao Qi, Junfeng Gao, Kunjie Chen, Lei Shu,Simon Pearson,Tea Chrysanthemum Detection by Leveraging Generative Adversarial Networks and Edge Computing, Frontiers in plant science
Chao Qi, Junfeng Gao, Simon Pearson, Helen Harman, Kunjie Chen, Lei Shu, Tea Chrysanthemum Detection under Unstructured Environments Using the TC-YOLO Model, Expert Systems with Applications, 2022, 193, 116473.
Junfeng Gao, Jesper Cairo Westergaard, Ea Høegh Riis Sundmark, Merethe Bagge, Erland Liljeroth, Erik Alexandersson; Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning, Knowledge-based Systems, 2021, 214, 106723.
Junfeng Gao, Andrew French, Michael Pound, Tony Pridmore, Jan Pieters. Deep convolutional neural networksfor image-basedConvolvulus sepiumdetection in sugar beet fields, Plant Methods, 2020,16, 29.
Yanchao Zhang, Junfeng Gao, Haiyan Cen, Yongliang Lu, Xiaoyue Yu, Yong He, Jan G. Pieters; Automated spectral feature extraction from hyperspectral images to differentiate weedy rice and barnyard grass from a rice crop. Computers and Electronics in Agriculture, 2019, 159, 42-49.
Junfeng Gao, Wenzhi Liao, David Nuyttens, Peter Lootens, Jürgen Vangeyte, Aleksandra Pižurica, Jan G Pieters. Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery. International journal of applied earth observation and geoinformation, 2018, 67, 43-53.
Junfeng Gao, David Nuyttens, Peter Lootens, Jan G. Pieters. Recognising weeds in a maize crop using a random forest machine-learning algorithmand near-infrared snapshot mosaic hyperspectral imagery. Biosystems Engineering,2018, 170,39-50.
Ziyi Liu, Junfeng Gao, Guoguo Yang, Huan Zhang, Yong He. Localization and Classification of Paddy Field Pests using a Saliency Map and Deep Convolutional Neural Network.Scientific reports,2016,6,1-12.
Junfeng Gao, Xiaoli Li, Fengle Zhu, Yong He. Application of hyperspectral imaging technology to discriminate different geographical origins of Jatropha curcas L. seedsComputers and Electronics in Agriculture, 2013,99, 186-193.
Book
Charles Fox, Junfeng Gao, Amir Ghalamzan Esfahani, Mini Saaj, Marc Hanheide, Simon Parsons. (2021) Towards Autonomous Robotics Systems, Springer, https://link.springer.com/book/10.1007/978-3-030-89177-0
Book chapter
Gao J., Westergaard J.C., Alexandersson E. (2021) Computer Vision and Less Complex Image Analyses to Monitor Potato Traits in Fields. In: Dobnik D., Gruden K., Ramšak Ž., Coll A. (eds) Solanum tuberosum. Methods in Molecular Biology, vol 2354. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1609-3_13