Fernando Palacios

Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions

Fernando Palacios, Gloria Bueno, Jesús Salido et al. · Computers and Electronics in Agriculture · 2020 · 72 citations

Quantification Method, Precision Agriculture, Machine Vision +7

Early yield prediction in different grapevine varieties using computer vision and machine learning

Fernando Palacios, María P. Diago, Pedro Melo‐Pinto et al. · Precision Agriculture · 2022 · 46 citations · Full text

On‐the‐go assessment of vineyard canopy porosity, bunch and leaf exposure by image analysis

María P. Diago, Arturo Aquino, Borja Millán et al. · Australian Journal of Grape and Wine Research · 2019 · 33 citations

Plant Analysis, Precision Agriculture, Image Analysis +15

Deep learning and computer vision for assessing the number of actual berries in commercial vineyards

Fernando Palacios, Pedro Melo‐Pinto, María P. Diago et al. · Biosystems Engineering · 2022 · 30 citations · Full text

Agricultural Engineering, Precision Agriculture, Machine Vision +14

A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions

Fernando Palacios, María P. Diago, Javier Tardáguila · Sensors · 2019 · 29 citations · Full text