| Analysis of Vegetation Indices to Determine Nitrogen Application and Yield Prediction in Maize (Zea mays L.) from a Standard UAV Service Á Maresma, M Ariza, E Martínez, J Lloveras, JA Martínez-Casasnovas Remote Sensing 8 (12), 973, 2016 | 257 | 2016 |
| Mapping the spatial variability of Botrytis bunch rot risk in vineyards using UAV multispectral imagery S Vélez, M Ariza-Sentís, J Valente European Journal of Agronomy 142, 126691, 2023 | 64 | 2023 |
| Object detection and tracking in Precision Farming: A systematic review M Ariza-Sentís, S Vélez, R Martínez-Peña, H Baja, J Valente Computers and Electronics in Agriculture 219, 108757, 2024 | 41 | 2024 |
| Object detection and tracking on UAV RGB videos for early extraction of grape phenotypic traits M Ariza-Sentís, H Baja, S Vélez, J Valente Computers and Electronics in Agriculture 211, 108051, 2023 | 31 | 2023 |
| Mapping of Rumex obtusifolius in nature conservation areas using very high resolution UAV imagery and deep learning J Valente, S Hiremath, M Ariza-Sentís, M Doldersum, L Kooistra International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 21 | 2022 |
| Estimation of spinach (Spinacia oleracea) seed yield with 2D UAV data and deep learning M Ariza-Sentís, J Valente, L Kooistra, H Kramer, S Mücher Smart Agricultural Technology 3, 100129, 2023 | 20 | 2023 |
| Dataset on unmanned aerial vehicle multispectral images acquired over a vineyard affected by Botrytis cinerea in northern Spain S Vélez, M Ariza-Sentís, J Valente Data in Brief 46, 108876, 2023 | 17 | 2023 |
| Dataset on UAV RGB videos acquired over a vineyard including bunch labels for object detection and tracking M Ariza-Sentís, S Vélez, J Valente Data in Brief 46, 108848, 2023 | 17 | 2023 |
| Comparing nadir and oblique thermal imagery in UAV-based 3D crop water stress index applications for precision viticulture with LiDAR validation T Buunk, S Vélez, M Ariza-Sentís, J Valente Sensors 23 (20), 8625, 2023 | 14 | 2023 |
| VineLiDAR: high-resolution UAV-LiDAR vineyard dataset acquired over two years in northern Spain S Vélez, M Ariza-Sentís, J Valente Data in Brief 51, 109686, 2023 | 10 | 2023 |
| BBR: An open-source standard workflow based on biophysical crop parameters for automatic Botrytis cinerea assessment in vineyards M Ariza-Sentís, S Vélez, J Valente SoftwareX 24, 101542, 2023 | 8 | 2023 |
| Speeding up UAV-based crop variability assessment through a data fusion approach using spatial interpolation for site-specific management S Vélez, M Ariza-Sentís, M Panić, B Ivošević, D Stefanović, J Kaivosoja, ... Smart Agricultural Technology 8, 100488, 2024 | 7 | 2024 |
| EscaYard: Precision viticulture multimodal dataset of vineyards affected by Esca disease consisting of geotagged smartphone images, phytosanitary status, UAV 3D point clouds … S Vélez, M Ariza-Sentís, J Valente Data in Brief 54, 110497, 2024 | 7 | 2024 |
| GrapeMOTS: UAV vineyard dataset with MOTS grape bunch annotations recorded from multiple perspectives for enhanced object detection and tracking M Ariza-Sentís, K Wang, Z Cao, S Vélez, J Valente Data in Brief 54, 110432, 2024 | 5 | 2024 |
| UAV multispectral imagery dataset over a vineyard affected by Botrytis in “Tomiño”, Pontevedra, Spain. It includes GPS location of vine trunks, diseases and GCP points S Vélez, M Ariza-Sentís, J Valente Version, 2022 | 5 | 2022 |
| An aerial framework for Multi-View grape bunch detection and route Optimization using ACO M Ariza-Sentís, S Vélez, H Baja, RG Valenti, J Valente Computers and Electronics in Agriculture 221, 108972, 2024 | 4 | 2024 |
| Vegetation indices from unmanned aerial vehicles–mounted sensors to monitor the development of maize (Zea mays L.) under different N rates JA Martínez-Casasnovas, M Ariza-Sentís, A Maresma, E Martínez, ... Precision agriculture'15, 119-126, 2015 | 2 | 2015 |
| Integrated framework for multipurpose UAV Path Planning in hedgerow systems considering the biophysical environment S Vélez, G Mier, M Ariza-Sentís, J Valente Crop Protection 187, 106992, 2025 | 1 | 2025 |
| MOTS-Annotated UAV Vineyard Dataset Captured using Multiple Perspectives to Avoid Leaf Occlusion for Object Detection and Tracking M Ariza-Sentís, K Wang, Z Cao, S Vélez, J Valente Zenodo, 2024 | 1 | 2024 |
| Improving up-close remote sensing of occluded areas in vineyards through customized multiple-Unmanned-Aerial-Vehicle path planning M Ariza-Sentís, S Vélez, RG Valenti, J Valente Environmental Sciences Proceedings 29 (1), 57, 2023 | 1 | 2023 |