Inés Hernández

According to our database, Inés Hernández authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Small data deep learning methodology for in-field disease detection.

David Herrera-Poyatos, Jacinto Domínguez-Rull, Rosana Montes, Inés Hernández, Ignacio Barrio, Carlos Poblete-Echeverría, Javier Tardáguila, Francisco Herrera, Andrés Herrera-Poyatos

CoRR, 2024

Deep learning modelling for non-invasive grape bunch detection under diverse occlusion conditions.

Rubén Íñiguez, Salvador Gutiérrez, Carlos Poblete-Echeverría, Inés Hernández, Ignacio Barrio, Javier Tardáguila

Comput. Electron. Agric., 2024

In-field disease symptom detection and localisation using explainable deep learning: Use case for downy mildew in grapevine.

Inés Hernández, Salvador Gutiérrez, Ignacio Barrio, Rubén Íñiguez, Javier Tardáguila

Comput. Electron. Agric., 2024

2021

Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions.

Salvador Gutiérrez, Inés Hernández, Sara Ceballos, Ignacio Barrio, Ana Díez Navajas, Javier Tardáguila

Comput. Electron. Agric., 2021

2020

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, María-Paz Diago, Inés Hernández, Javier Tardáguila

Comput. Electron. Agric., 2020