José Miguel Molina-Martínez

Orcid: 0000-0001-8122-5487

According to our database1, José Miguel Molina-Martínez authored at least 12 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2022
Comparison of Classic Classifiers, Metaheuristic Algorithms and Convolutional Neural Networks in Hyperspectral Classification of Nitrogen Treatment in Tomato Leaves.
Remote. Sens., December, 2022

2021
Development of an Algorithm for an Automatic Determination of the Soil Field Capacity Using of a Portable Weighing Lysimeter.
Sensors, 2021

2020
Analysis of the Functionality of the Feed Chain in Olive Pitting, Slicing and Stuffing Machines by IoT, Computer Vision and Neural Network Diagnosis.
Sensors, 2020

Estimation of different ripening stages of Fuji apples using image processing and spectroscopy based on the majority voting method.
Comput. Electron. Agric., 2020

Deep learning in olive pitting machines by computer vision.
Comput. Electron. Agric., 2020

2019
Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions.
Remote. Sens., 2019

2018
Design and implementation of a low cost photovoltaic soil moisture monitoring station for irrigation scheduling with different frequency domain analysis probe structures.
Comput. Electron. Agric., 2018

2017
Low-frequency characterisation of mesocarp electrical conductivity in different varieties of olives (Olea europaea L.).
Comput. Electron. Agric., 2017

Development of a visual monitoring system for water balance estimation of horticultural crops using low cost cameras.
Comput. Electron. Agric., 2017

2016
Optimal color space selection method for plant/soil segmentation in agriculture.
Comput. Electron. Agric., 2016

Ecofert: An Android application for the optimization of fertilizer cost in fertigation.
Comput. Electron. Agric., 2016

2014
SCADA platform combined with a scale model of trickle irrigation system for agricultural engineering education.
Comput. Appl. Eng. Educ., 2014


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