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Non-Destructive Estimation of Total Chlorophyll Content of Apple Fruit Based on Color Feature, Spectral Data and the Most EffectiveWavelengths Using Hybrid Artificial Neural Network-Imperialist Competitive Algorithm.
(Plants, 2020-11)
Non-destructive assessment of the physicochemical properties of food products, especially fruits, makes it possible to examine the internal quality without any damage. This is applicable at different stages of fruit growth, ...
Emotional Corpus, Feature Extraction and Emotion Classification Using the Parameterized Voice Signal
(Communications in Computer and Information Science, 2021-10)
The recognition and classification of human emotions through voice analysis, it is a very interesting research area, due to the wide variety of appli cations: telecommunications, learning, human-computer interface, ...
Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions.
(Remote Sens, 2019-10)
Color segmentation is one of the most thoroughly studied problems in agricultural applications of remote image capture systems, since it is the key step in several different tasks, such as crop harvesting, site specific ...
Operaciones crud en datos semiestructurados.
(Academia Journals Celaya, 2019-09)
Impacto de la transformación de modelos en el desarrollo de software.
(Academia Journals Celaya, 2018-11)
En los últimos años, la Ingeniería de software dirigida por modelos (MDSE, Model-Driven Software Engineering, por sus siglas en inglés o simplemente MDE) ha ganado cada vez más aceptación, principalmente por su capacidad ...
A Novel Technique for Classifying Bird Damage to Rapeseed Plants Based on a Deep Learning Algorithm.
(Agronomy, 2021-11)
Estimation of crop damage plays a vital role in the management of fields in the agricultura sector. An accurate measure of it provides key guidance to support agricultural decision-making systems. The objective of the study ...
Quality Assessment of Components of Wheat Seed Using Different Classifications Models.
(Jinsong Bao, 2022-04)
To use machine vision technology in visual quality control of cereal seeds, sufficient knowledge is necessary. In this work, the capability of machine visual systems, equipped with industrial digital cameras for the ...