| Automatic activity tracking of goats using drone camera JA Vayssade, R Arquet, M Bonneau Computers and Electronics in Agriculture 162, 767-772, 2019 | 70 | 2019 |
| Outdoor animal tracking combining neural network and time-lapse cameras M Bonneau, JA Vayssade, W Troupe, R Arquet Computers and electronics in agriculture 168, 105150, 2020 | 56 | 2020 |
| Pixelwise instance segmentation of leaves in dense foliage JA Vayssade, G Jones, C Gée, JN Paoli Computers and Electronics in Agriculture 195, 106797, 2022 | 13 | 2022 |
| DeepIndices: Remote Sensing Indices Based on Approximation of Functions through Deep-Learning, Application to Uncalibrated Vegetation Images JA Vayssade, JN Paoli, C Gée, G Jones Remote Sensing 13 (12), 2261, 2021 | 10 | 2021 |
| Two-step multi-spectral registration via key-point detector and gradient similarity. Application to agronomic scenes for proxy-sensing JA VAYSSADE, G Jones, JN Paoli, C Gee VISAPP, 102, 2020 | 8 | 2020 |
| Wizard: Unsupervised goats tracking algorithm JA Vayssade, X Godard, M Bonneau Computers and Electronics in Agriculture 209, 107831, 2023 | 3 | 2023 |
| Towards the characterization of crop and weeds at leaf scale: A large comparison of shape, spatial and textural features JA Vayssade, G Jones, JN Paoli Smart Agricultural Technology 5, 100245, 2023 | 2 | 2023 |
| Spatial tracking of small ruminants on pasture JA Vayssade Ph. D. thesis, Université Paul Sabatier (Toulouse 3), 2018 | 2 | 2018 |
| CherryChèvre: A fine-grained dataset for goat detection in natural environments JA Vayssade, R Arquet, W Troupe, M Bonneau Scientific Data 10 (1), 689, 2023 | 1 | 2023 |
| Estimating sow posture from computer vision: influence of the sampling rate M Bonneau, JA Vayssade, L Canario European Federation of Animal Scoience (EAAP), 2023 | | 2023 |
| Approche multicritère pour la caractérisation des adventices parimagerie J Vayssade | | 2022 |
| Approche multi-critère pour la caractérisation des adventices.(Multi-criteria approach for weed characterization). JA Vayssade University of Burgundy-Franche-Comté, 2022 | | 2022 |
| DeepIndices: Une nouvelle approche des indices de télédétection basée sur l'optimisation et l'approximation de fonctions par DeepLearning. Application aux indices de végétation … JA Vayssade, JN Paoli, C Gée, G Jones Conference: RJCIA: Rencontres des Jeunes Chercheur· ses en Intelligence …, 2021 | | 2021 |
| Approche multicritère pour la caractérisation des adventices par imagerie JA Vayssade, C Gée, G Jones, JN Paoli | | 2019 |
| Goats monitoring at the pasture scale combining neural network and time-lapse cameras JA Vayssade, W Troupé, R Arquet | | 2019 |
| Goats monitoring at the pasture scale combining convolutional neural network and time-lapse cameras. M Bonneau, JA Vayssade, W Troupé, R Arquet European Conference on Precisions Livestock Farming (ECPLF), 2019 | | 2019 |
Bonneau MathieuPhD in applied Mathematics, French National Institute of Agronomic Research - French West IndiesVerified email at inra.fr
