| Understanding vine hyperspectral signature through different irrigation plans: A first step to monitor vineyard water status E Laroche-Pinel, M Albughdadi, S Duthoit, V Chéret, J Rousseau, ... Remote Sensing 13 (3), 536, 2021 | 30 | 2021 |
| Towards vine water status monitoring on a large scale using sentinel-2 images E Laroche-Pinel, S Duthoit, M Albughdadi, AD Costard, J Rousseau, ... Remote Sensing 13 (9), 1837, 2021 | 25 | 2021 |
| Phenotyping grapevine red blotch virus and grapevine leafroll-associated viruses before and after symptom expression through machine-learning analysis of hyperspectral images E Sawyer, E Laroche-Pinel, M Flasco, ML Cooper, B Corrales, M Fuchs, ... Frontiers in plant science 14, 1117869, 2023 | 17 | 2023 |
| Monitoring vineyard water status using Sentinel-2 images: qualitative survey on five wine estates in the south of France EL Pinel, S Duthoit, AD Costard, J Rousseau, J Hourdel, ... Oeno One 55 (4), 115-127, 2021 | 8 | 2021 |
| Assessing the spatial-temporal performance of machine learning in predicting grapevine water status from Landsat 8 imagery via block-out and date-out cross-validation E Laroche-Pinel, V Cianciola, K Singh, GA Vivaldi, L Brillante Agricultural Water Management 306, 109163, 2024 | 3 | 2024 |
| Assessing grapevine water status in a variably irrigated vineyard with NIR/SWIR hyperspectral imaging from UAV E Laroche-Pinel, KR Vasquez, L Brillante Precision Agriculture 25 (5), 2356-2374, 2024 | 2 | 2024 |
| Grapevine water status in a variably irrigated vineyard with NIR hyperspectral imaging from a UAV K Vasquez, E Laroche-Pinel, G Partida, L Brillante Precision agriculture'23, 345-350, 2023 | 2 | 2023 |
| Late-season source limitation practices to cope with climate change: delaying ripening and improving colour of Cabernet-Sauvignon grapes and wine in a hot and arid climate L Pallotti, G Partida, E Laroche-Pinel, V Lanari, M Pedroza, L Brillante OENO One 59 (1), 2025 | | 2025 |
| Smart Horticulture: Latest Advances and Prospects A Cogato, M Sozzi, N Nikolić, E Laroche-Pinel Horticulturae 11 (1), 27, 2025 | | 2025 |
| Grape composition assessment using NIR/SWIR hyperspectral imagery acquired from a UTV AE Abioye, E Laroche-Pinel, B Sams, B Corales, K Vasquez, V Cianciola, ... II International Symposium on Precision Management of Orchards and Vineyards …, 2023 | | 2023 |
| Enhancing sustainable water management: utilizing UAV-based NIR/SWIR hyperspectral imaging to evaluate grapevine water status in a variably irrigated vineyard E Laroche-Pinel, K Vasquez, G Partida, L Brillante II International Symposium on Precision Management of Orchards and Vineyards …, 2023 | | 2023 |
| Transitioning from laboratory research to real-world application: encouraging results in the practical utilization of hyperspectral images for field detection of grapevine viruses E Laroche-Pinel, E Sawyer, B Corrales, K Singh, K Vasquez, ML Cooper, ... II International Symposium on Precision Management of Orchards and Vineyards …, 2023 | | 2023 |
| Phenotyping virus-infected grapevine leaves through hyperspectral imaging and machine learning E Sawyer, M Fuchs, ML Cooper, B Corrales, K Singh, T Frnzyan, ... XI International Symposium on Grapevine Physiology and Biotechnology 1390 …, 2021 | | 2021 |
| Suivi du statut hydrique de la vigne par télédétection hyper et multispectrale E Laroche Pinel, V Chéret, H Clenet, S Duthoit | | 2021 |
| Towards Vine Water Status Monitoring on a Large Scale Using Sentinel-2 Images. Remote Sens. 2021, 13, 1837 E Laroche-Pinel, S Duthoit, M Albughdadi, AD Costard, R Rousseau, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Suivi temporel du statut hydrique et aide à l'irrigation de la vigne: Enjeux et possibilités offertes par la télédétection spatiale. Exemple des vignobles de climat méditerranéens EL Pinel, S Duthoit, M Le Page Revue des oenologues et des techniques vitivinicoles et oenologiques …, 2021 | | 2021 |
| Detection of Grapevine Red Blotch Virus at the Plant Level in Vineyards: An Uav-Based Approach Using a Vis/Nir Hyperspectral Camera, Machine Learning, and the Prospect … E Laroche-Pinel, M Cooper, M Fuchs, L Brillante Machine Learning, and the Prospect Inversion Model, 0 | | |
| USING NIR/SWIR HYPERSPECTRAL CAMERA MOUNTED ON A UAV TO ASSESS GRAPEVINE WATER STATUS IN A VARIABLY IRRIGATED VINEYARD K VASQUEZ, E LAROCHE-PINEL, G PARTIDA, L BRILLANTE | | |
| TOWARD AN AUTOMATIC WAY TO IDENTIFY RED BLOTCH INFECTED VINES FROM HYPERSPECTRAL IMAGES ACQUIRED IN THE FIELD E LAROCHE-PINEL, B CORALES, E SAWYER, K SINGH, K VASQUEZ, ... | | |
| Grapevine Red Blotch Virus Detection in the Vineyard: Leveraging Machine Learning with VIS/NIR Hyperspectral Images E Laroche-Pinel, K Singh, M Flasco, M Cooper, M Fuchs, L Brillante NIR Hyperspectral Images, 0 | | |
