Identificación automatizada de imágenes, detección y recuento de piña usando vista superior mediante Machine Learning

The use of new technologies for the recognition of fruits such as pineapple from image analysis is a current solution to the process of counting fruits that may be within reach of these new forms, for this it was possible to carry out this process using the network artificial neural (ANN), support v...

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Main Author:	Riveros Parrado, Julian Mauricio
Other Authors:	Cucaita Gómez, Alexander
Format:	Trabajo de grado (Pregrado y/o Especialización)
Language:	spa
Published:	Universidad Antonio Nariño 2022
Subjects:	Piña RPA programación conteo Pineapple programming counting
Online Access:	http://repositorio.uan.edu.co/handle/123456789/6919
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author	Riveros Parrado, Julian Mauricio
author2	Cucaita Gómez, Alexander
author_facet	Cucaita Gómez, Alexander Riveros Parrado, Julian Mauricio
author_sort	Riveros Parrado, Julian Mauricio
collection	DSpace
description	The use of new technologies for the recognition of fruits such as pineapple from image analysis is a current solution to the process of counting fruits that may be within reach of these new forms, for this it was possible to carry out this process using the network artificial neural (ANN), support vector machine (SVM), random forest (RF), Naive Bayes (NB), decision trees (DT) and k nearest neighbor (KNN).
format	Trabajo de grado (Pregrado y/o Especialización)
id	repositorio.uan.edu.co-123456789-6919
institution	Repositorio Digital UAN
language	spa
publishDate	2022
publisher	Universidad Antonio Nariño
record_format	dspace
spelling	repositorio.uan.edu.co-123456789-69192024-10-09T23:17:25Z Identificación automatizada de imágenes, detección y recuento de piña usando vista superior mediante Machine Learning Riveros Parrado, Julian Mauricio Cucaita Gómez, Alexander Piña RPA programación conteo Pineapple RPA programming counting The use of new technologies for the recognition of fruits such as pineapple from image analysis is a current solution to the process of counting fruits that may be within reach of these new forms, for this it was possible to carry out this process using the network artificial neural (ANN), support vector machine (SVM), random forest (RF), Naive Bayes (NB), decision trees (DT) and k nearest neighbor (KNN). El uso de nuevas tecnologías para el reconocimiento de frutas como la piña a partir del analisis de imágenes, es una solucón actual al proceso de conteo de frutos que puede haber al alcance de estas nuevas formas, para ello se logró realizar este proceso usando la red neuronal artificial (ANN), máquina de vectores de soporte(SVM), bosque aleatorio (RF), Naive Bayes (NB), árboles de decisión (DT) y k vecino más cercanos (KNN). Ingeniero(a) Electromecánico(a) Pregrado Distancia Proyecto 2022-09-01T20:49:30Z 2022-09-01T20:49:30Z 2022-06-04 Trabajo de grado (Pregrado y/o Especialización) info:eu-repo/semantics/acceptedVersion http://purl.org/coar/resource_type/c_7a1f http://purl.org/coar/version/c_970fb48d4fbd8a85 http://repositorio.uan.edu.co/handle/123456789/6919 Al-Zebari, A., & Sengur, A. (2019). Performance comparison of machine learning techniques on diabetes disease detection. 2019 1st International Informatics and Software Engineering Conference (UBMYK), 1–4. Alzu’bi, R., Anushya, A., Hamed, E., Al Sha’ar, E. A., & Vincy, B. S. A. (2018). Dates fruits classification using SVM. AIP Conference Proceedings, 1952(1), 20078. Anitha, P., & Chakravarthy, T. (2018). Agricultural Crop Yield Prediction using Artificial Neural Network with Feed Forward Algorithm. International Journal of Computer Sciences and Engineering, 6(11), 178–181. https://doi.org/10.26438/ijcse/v6i11.178181 Arowolo, M. O., Abdulsalam, S. O., Saheed, Y. K., & Salawu, M. D. (2016). A feature selection based on one-way-ANOVA for microarray data classification. Al-Hikmah J Pure Appl Sci, 3, 30–35. Babikir, H. A., Elaziz, M. A., Elsheikh, A. H., Showaib, E. A., Elhadary, M., Wu, D., & Liu, Y. (2019). Noise prediction of axial piston pump based on different valve materials using a modified artificial neural network model. Alexandria Engineering Journal, 58(3), 1077–1087. https://doi.org/10.1016/j.aej.2019.09.010 Basso, M., & Pignaton de Freitas, E. (2020). A UAV Guidance System Using Crop Row Detection and Line Follower Algorithms. Journal of Intelligent & Robotic Systems, 97(3), 605–621. https://doi.org/10.1007/s10846-019-01006-0 Berrar, D. (2018). Bayes’ theorem and naive Bayes classifier. Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, 403. Blok, P. M., Barth, R., & van den Berg, W. (2016). Machine vision for a selective broccoli harvesting robot. IFAC-PapersOnLine, 49(16), 66–71. https://doi.org/https://doi.org/10.1016/j.ifacol.2016.10.013 Calou, V. B. C., Teixeira, A. dos S., Moreira, L. C. J., Lima, C. S., de Oliveira, J. B., & de Oliveira, M. R. R. (2020). The use of UAVs in monitoring yellow sigatoka in banana. Biosystems Engineering, 193, 115–125. Dhalia Sweetlin, J., Nehemiah, H. K., & Kannan, A. (2018). Computer aided diagnosis of pulmonary hamartoma from CT scan images using ant colony optimization based instname:Universidad Antonio Nariño reponame:Repositorio Institucional UAN repourl:https://repositorio.uan.edu.co/ spa Acceso abierto Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) https://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 application/pdf application/pdf application/pdf application/pdf Universidad Antonio Nariño Ingeniería Electromecánica Facultad de Ingeniería Mecánica, Electrónica y Biomédica Villavicencio
spellingShingle	Piña RPA programación conteo Pineapple RPA programming counting Riveros Parrado, Julian Mauricio Identificación automatizada de imágenes, detección y recuento de piña usando vista superior mediante Machine Learning
title	Identificación automatizada de imágenes, detección y recuento de piña usando vista superior mediante Machine Learning
title_full	Identificación automatizada de imágenes, detección y recuento de piña usando vista superior mediante Machine Learning
title_fullStr	Identificación automatizada de imágenes, detección y recuento de piña usando vista superior mediante Machine Learning
title_full_unstemmed	Identificación automatizada de imágenes, detección y recuento de piña usando vista superior mediante Machine Learning
title_short	Identificación automatizada de imágenes, detección y recuento de piña usando vista superior mediante Machine Learning
title_sort	identificacion automatizada de imagenes deteccion y recuento de pina usando vista superior mediante machine learning
topic	Piña RPA programación conteo Pineapple RPA programming counting
url	http://repositorio.uan.edu.co/handle/123456789/6919
work_keys_str_mv	AT riverosparradojulianmauricio identificacionautomatizadadeimagenesdeteccionyrecuentodepinausandovistasuperiormediantemachinelearning