| Localization and classification of paddy field pests using a saliency map and deep convolutional neural network Z Liu, J Gao, G Yang, H Zhang, Y He Scientific reports 6 (1), 20410, 2016 | 208 | 2016 |
| Recognising weeds in a maize crop using a random forest machine-learning algorithm and near-infrared snapshot mosaic hyperspectral imagery J Gao, D Nuyttens, P Lootens, Y He, JG Pieters Biosystems Engineering 170, 39-50, 2018 | 165 | 2018 |
| Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields J Gao, AP French, MP Pound, Y He, TP Pridmore, JG Pieters Plant Methods 16 (1), 1-12, 2020 | 151 | 2020 |
| Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery J Gao, W Liao, D Nuyttens, P Lootens, J Vangeyte, A Pižurica, Y He, ... International journal of applied earth observation and geoinformation 67, 43-53, 2018 | 144 | 2018 |
| Application of hyperspectral imaging technology to discriminate different geographical origins of Jatropha curcas L. seeds J Gao, X Li, F Zhu, Y He Computers and electronics in agriculture 99, 186-193, 2013 | 74 | 2013 |
| Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning J Gao, JC Westergaard, EHR Sundmark, M Bagge, E Liljeroth, ... Knowledge-Based Systems 214, 106723, 2021 | 59 | 2021 |
| Automated spectral feature extraction from hyperspectral images to differentiate weedy rice and barnyard grass from a rice crop Y Zhang, J Gao, H Cen, Y Lu, X Yu, Y He, JG Pieters Computers and Electronics in Agriculture 159, 42-49, 2019 | 53 | 2019 |
| Tea Chrysanthemum Detection under Unstructured Environments Using the TC-YOLO Model C Qi, J Gao, S Pearson, H Harman, K Chen, L Shu Expert Systems with Applications, 116473, 2022 | 35 | 2022 |
| Towards agricultural autonomy: crop row detection under varying field conditions using deep learning R de Silva, G Cielniak, J Gao arXiv preprint arXiv:2109.08247, 2021 | 23 | 2021 |
| In-field classification of the asymptomatic biotrophic phase of potato late blight based on deep learning and proximal hyperspectral imaging C Qi, M Sandroni, JC Westergaard, EHR Sundmark, M Bagge, ... Computers and Electronics in Agriculture 205, 107585, 2023 | 22* | 2023 |
| Beyond mAP: Towards practical object detection for weed spraying in precision agriculture A Salazar-Gomez, M Darbyshire, J Gao, EI Sklar, S Parsons 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 18 | 2022 |
| Towards practical object detection for weed spraying in precision agriculture A Salazar-Gomez, M Darbyshire, J Gao, EI Sklar, S Parsons arXiv preprint arXiv:2109.11048, 2021 | 16 | 2021 |
| Determination and visualization of fat contents in salmon fillets based on visible and near-infrared hyperspectral imagery F Zhu, J Peng, J Gao, Y Zhao, K Yu, Y He Transactions of the Chinese Society of Agricultural Engineering 30 (23), 314-323, 2014 | 16 | 2014 |
| Nondestructive discrimination of waxed apples based on hyperspectral imaging technology J GAO, H ZHANG, W KONG, Y HE Spectroscopy and Spectral Analysis 33 (7), 1922-1926, 2013 | 10 | 2013 |
| Deep learning‐based crop row detection for infield navigation of agri‐robots R de Silva, G Cielniak, G Wang, J Gao Journal of Field Robotics, 2023 | 8* | 2023 |
| Review of Crop Canopy Spectral Information Detection Technology and Methods XR Fang, JF Gao, CQ Xie, FL Zhu, LX Huang, Y He Guang pu xue yu Guang pu fen xi= Guang pu 35 (7), 1949-1955, 2015 | 7 | 2015 |
| Pllama: An open-source large language model for plant science X Yang, J Gao, W Xue, E Alexandersson arXiv preprint arXiv:2401.01600, 2024 | 6 | 2024 |
| Cross-Domain Transfer Learning for Weed Segmentation and Mapping in Precision Farming Using Ground and UAV Images J Gao, W Liao, D Nuyttens, P Lootens, E Alexandersson, J Pieters Expert Systems with Applications, 122980, 2023 | 4* | 2023 |
| Towards Autonomous Robotic Systems: 22nd Annual Conference, TAROS 2021, Lincoln, UK, September 8–10, 2021, Proceedings C Fox, J Gao, AG Esfahani, M Saaj, M Hanheide, S Parsons Springer Nature, 2021 | 4* | 2021 |
| The need for speed: How 5G communication can support AI in the field T Zhivkov, A Gomez, J Gao, E Sklar, S Parsons UK-RAS, 2021 | 4 | 2021 |
Nuyttens DavidInstitute for Agricultural and Fisheries Research (ILVO)Verified email at ilvo.vlaanderen.be
