Antonio Madueño Luna

Procedure for the quantitative determination of percent caustic cooked in olives and optimum prediction time of completion thereof

Antonio Madueño Luna, Rafael Pleite Gutiérrez, José Miguel Madueño Luna, 2011 .

Deep learning in olive pitting machines by computer vision

Antonio Ruiz-Canales, Antonio Madueño Luna, José Miguel Madueño Luna, 2020, Comput. Electron. Agric..

Analysis of the Functionality of the Feed Chain in Olive Pitting, Slicing and Stuffing Machines by IoT, Computer Vision and Neural Network Diagnosis

Antonio Ruiz-Canales, Antonio Madueño Luna, José Miguel Madueño Luna, 2020, Sensors.

Low-frequency characterisation of mesocarp electrical conductivity in different varieties of olives (Olea europaea L.)

M. López, Antonio Ruiz-Canales, Antonio Madueño Luna, 2017, Comput. Electron. Agric..

Characterization and Differentiation between Olive Varieties through Electrical Impedance Spectroscopy, Neural Networks and IoT

Antonio Madueño Luna, José Miguel Madueño Luna, Rafael E Hidalgo Fernández, 2020, Sensors.

Assessing the Best Gap-Filling Technique for River Stage Data Suitable for Low Capacity Processors and Real-Time Application Using IoT

Juan Vicente Giráldez Cervera, Antonio Madueño Luna, José Miguel Madueño Luna, 2020, Sensors.

Optimized Design of Neural Networks for a River Water Level Prediction System

António E. Ruano, Pedro M. Ferreira, Antonio Madueño Luna, 2021, Sensors.