| Comparison of SIFT encoded and deep learning features for the classification and detection of Esca disease in Bordeaux vineyards F Rançon, L Bombrun, B Keresztes, C Germain Remote Sensing 11 (1), 1, 2018 | 58 | 2018 |
| Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease M Nouri, N Gorretta, P Vaysse, M Giraud, C Germain, B Keresztes, ... Data in brief 16, 967-971, 2018 | 31 | 2018 |
| A Bayesian framework for joint structure and colour based pixel-wise classification of grapevine proximal images F Abdelghafour, R Rosu, B Keresztes, C Germain, JP Da Costa Computers and Electronics in Agriculture 158, 345-357, 2019 | 25 | 2019 |
| In field detection of downy mildew symptoms with proximal colour imaging F Abdelghafour, B Keresztes, C Germain, JP Da Costa Sensors 20 (16), 4380, 2020 | 20 | 2020 |
| Real-time fruit detection using deep neural networks B Keresztes, F Abdelghafour, D Randriamanga, JP da Costa, C Germain 14th International Conference on Precision Agriculture, 2018 | 18 | 2018 |
| Crop stem detection and tracking for precision hoeing using deep learning L Lac, JP Da Costa, M Donias, B Keresztes, A Bardet Computers and Electronics in Agriculture 192, 106606, 2022 | 12 | 2022 |
| Potential of on-board colour imaging for in-field detection and counting of grape bunches at early fruiting stages F Abdelghafour, B Keresztes, C Germain, JP Da Costa Advances in animal biosciences 8 (2), 505-509, 2017 | 12 | 2017 |
| An annotated image dataset of downy mildew symptoms on Merlot grape variety F Abdelghafour, B Keresztes, A Deshayes, C Germain, JP Da Costa Data in Brief 37, 107250, 2021 | 10 | 2021 |
| VVINNER: An autonomous robot for automated scoring of vineyards B Keresztes, G Grenier, C Germain, JP Da Costa, XD Beaulieu Proceedings of the International Conference of Agricultural Engineering …, 2014 | 10 | 2014 |
| An annotated image dataset of vegetable crops at an early stage of growth for proximal sensing applications L Lac, B Keresztes, M Louargant, M Donias, JP Da Costa Data in Brief 42, 108035, 2022 | 9 | 2022 |
| Apple yield estimation during the growth season using image analysis B Keresztes, O Lavialle, G Grenier, P Vaysse Proc. Automation Technol. Off-Road Equipment, 221-226, 2012 | 7 | 2012 |
| Two-stage automatic diagnosis of Flavescence Dorée based on proximal imaging and artificial intelligence: a multi-year and multi-variety experimental study M Tardif, A Amri, B Keresztes, A Deshayes, D Martin, M Greven, ... OENO One 56 (3), 371-384, 2022 | 6 | 2022 |
| Seismic fault detection using marked point processes B Keresztes, O Lavialle, M Borda 2009 16th IEEE International Conference on Image Processing (ICIP), 565-568, 2009 | 5 | 2009 |
| Seismic fault detection based on a curvilinear support B Keresztes, O Lavialle, M Borda IGARSS 2008-2008 IEEE International Geoscience and Remote Sensing Symposium …, 2008 | 5 | 2008 |
| On-board colour imaging for the detection of downy mildew F Abdelghafour, F Rançon, B Keresztes, C Germain, JP Da Costa Precision agriculture'19, 195-202, 2019 | 4 | 2019 |
| Designing a proximal sensing camera acquisition system for vineyard applications: Results and feedback on 8 years of experiments F Rançon, B Keresztes, A Deshayes, M Tardif, F Abdelghafour, ... Sensors 23 (2), 847, 2023 | 3 | 2023 |
| Marked point processes for enhancing seismic fault patterns K Barna, T Szirányi, M Borda, O Lavialle Journal of Applied Geophysics 118, 115-123, 2015 | 3 | 2015 |
| A depth and color vision system for the automated detection of grape maturity B Keresztes, JP da Costa, G Grenier, C Germain, X David-Beaulieu RHEA, 2014 | 3 | 2014 |
| SDNet: Unconstrained Object Structure Detector Network for In-Field Real-Time Crop Part Location And Phenotyping. L Lac, JP Da Costa, M Donias, B Keresztes, M Louargant, F Prigonrieux BMVC, 415, 2021 | 2 | 2021 |
| Fiber segmentation in composite materials using marked point processes B Keresztes, O Lavialle, S Pop, M Borda Acta Tehnica Napocensis, 2009 | 2 | 2009 |
