Wageningen UR-ko ikertzaileekin lankidetzan egindako argitalpenak (19)

2025

  1. Integrated framework for multipurpose UAV Path Planning in hedgerow systems considering the biophysical environment

    Crop Protection, Vol. 187

2024

  1. An aerial framework for Multi-View grape bunch detection and route Optimization using ACO

    Computers and Electronics in Agriculture, Vol. 221

  2. EscaYard: Precision viticulture multimodal dataset of vineyards affected by Esca disease consisting of geotagged smartphone images, phytosanitary status, UAV 3D point clouds and Orthomosaics

    Data in Brief

  3. GrapeMOTS: UAV vineyard dataset with MOTS grape bunch annotations recorded from multiple perspectives for enhanced object detection and tracking

    Data in Brief

  4. Object detection and tracking in Precision Farming: a systematic review

    Computers and Electronics in Agriculture, Vol. 219

  5. Optimización avanzada de drones para la detección de racimos usando algoritmos basados en la inteligencia de enjambre

    Tierras: Agricultura, Núm. 326, pp. 56-59

2023

  1. BBR: An open-source standard workflow based on biophysical crop parameters for automatic Botrytis cinerea assessment in vineyards

    SoftwareX, Vol. 24

  2. Can Satellite Remote Sensing Assist in the Characterization of Yeasts Related to Biogeographical Origin?

    Sensors, Vol. 23, Núm. 4

  3. Comparing Nadir and Oblique Thermal Imagery in UAV-Based 3D Crop Water Stress Index Applications for Precision Viticulture with LiDAR Validation

    Sensors (Basel, Switzerland), Vol. 23, Núm. 20

  4. Dataset on UAV RGB videos acquired over a vineyard including bunch labels for object detection and tracking

    Data in Brief

  5. Dataset on unmanned aerial vehicle multispectral images acquired over a vineyard affected by Botrytis cinerea in northern Spain

    Data in Brief

  6. Mapping the spatial variability of Botrytis bunch rot risk in vineyards using UAV multispectral imagery

    European Journal of Agronomy, Vol. 142

  7. Object detection and tracking on UAV RGB videos for early extraction of grape phenotypic traits

    Computers and Electronics in Agriculture, Vol. 211

  8. Remote Sensing for Sustainable Pistachio Cultivation and Improved Quality Traits Evaluation through Thermal and Non-Thermal UAV Vegetation Indices

    Applied Sciences (Switzerland), Vol. 13, Núm. 13

  9. Towards Automated UAV Image Processing Workflows in Precision Viticulture: Challenges and Benefits

    Lecture Notes in Networks and Systems

  10. VineLiDAR: High-resolution UAV-LiDAR vineyard dataset acquired over two years in northern Spain

    Data in Brief

2022

  1. A Novel Technique Using Planar Area and Ground Shadows Calculated from UAV RGB Imagery to Estimate Pistachio Tree (Pistacia vera L.) Canopy Volume

    Remote Sensing, Vol. 14, Núm. 23

  2. A method to estimate optimal renovation period of solar photovoltaic modules

    Clean Technologies and Environmental Policy, Vol. 24, Núm. 9, pp. 2865-2880

  3. High-Resolution UAV RGB Imagery Dataset for Precision Agriculture and 3D Photogrammetric Reconstruction Captured over a Pistachio Orchard (Pistacia vera L.) in Spain

    Data, Vol. 7, Núm. 11