Caracterización del modo espacial de un láser λ=405 empleado en la detección de Huanglongbing por visión artificial
DOI:
https://doi.org/10.15665/rp.v23i1.3594Keywords:
Láser, haz láser, beam waist, divergencia, factor de calidad, visión artificial, HLB.Abstract
Huanglongbing of citrus fruits is a disease that especially attacks citrus fruits, generally produced by a bacteria called Candidatus Liberibacer asiaticus and transmitted by a vector, Diaphorina Citri, which transmit the disease quickly which causes asymmetrical fruits, small sizes, defoliation in the branches and progressive death of the plant. In this way, the detection of this disease is usually carried out using chemical methods, such as the polymerase chain reaction (PCR), which has a detection efficiency greater than 95%. However, it is a test that requires sample treatment and takes time. In this sense, this work aims to implement an artificial vision system for in situ detection of the disease. Currently, work has been done on the design and implementation of such a system. Consequently, this work presents the preliminary results of such a study, which includes the characterization of the spatial modes of a laser with a wavelength of 405 nm, in which its beam waist, its divergence and the factor of quality. In summary, once the study has been carried out, it is possible to conclude that the characterized laser is of adequate quality for the development of fluorescence-based devices
References
M. A. Cruz Pérez, M. A. Pozo Vinueza, A. F. Andino Jaramillo, y A. D. Arias Parra, «Las Tecnologías de la Información y la Comunicación (TIC) como forma investigativa interdisciplinaria con un enfoque intercultural para el proceso de formación de los estudiantes», e-Ciencias de la Información, vol. 9, n.º 1, nov. 2018.
Eugene Hecht Zajac, Los Mágicos - Óptica 4ta Edición (2003) ISBN: 9780133977226.
Sánchez, N. (2017). Diseño, construcción y caracterización de un perfilómetro de haz láser.
Viera, G. (2017). Procesamiento de imágenes usando OpenCV aplicado en Raspberry Pi para la clasificación del cacao.
Castro, J. (2017). Diseño de un sistema de visión artificial de bajo coste para el control fitosanitario de cultivos de Lulo.
Berger, J. (2019). Identificación de síntomas de Huanglongbing en hojas de cítricos mediante técnicas de deep learning. Electronic Journal of SADIO.
Garza-Saldaña, J. (2017). Métodos para la detección presuntiva de Huanglongbing (HLB) en cítricos. CienciaUAT, 93-104.
Wright, D. (1992). Beamwidths of a diffracted laser using four proposed methods. Optical and Quantum Electronics, 1129-1135.
Wright, D., & Guggenheimer, S. (1992). Status of ISO/TC 172ISC9IWG1 on Standardization of the
Guenther, R. (1990). Modern Optics. John Wiley & Sons.
Reicher, D. (1995). Laser beam characterization results for a high-power cw Nd: YAG laser. Beam Control, Diagnostics, Standards, and Propagation, 162-171.
Evelyn Alicia Ruales Davila et al. Diseño, construcción y automatización de un espectrofluorımetro aplicación en el an ́alisis de riboflavina en multivitam ́ınicos. B.S. thesis, Quito, 2015.
Sindhuja Sankaran, Joe Mari Maja, Sherrie Buchanon, and Reza Ehsani. Huanglongbing (citrus greening) detection using visible, near infrared and thermal imaging techniques. Sensors, 13(2):2117–2130, 2013.
Rodríguez-López, Edgar Saúl, González-Prieto, Juan Manuel, & Mayek-Pérez, Netzahualcoyotl. (2009). La Infección de Colletotrichum gloeosporioides (Penz.) Penz. y Sacc. en Aguacatero (Persea americana Mill.): Aspectos Bioquímicos y Genéticos. Revista mexicana de fitopatología, 27(1), 53-63. Recuperado en 18 de junio de 2022, de http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0185-33092009000100007&lng=es&tlng=es.
Downloads
Published
License
Copyright (c) 2025 YAIR ENRIQUE GARCIA PACHECO, Andrés Rodríguez Salas, Anderson Cortina Barraza, Mario Montero Hurtado
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The authors to publish in this journal agree to the following conditions:
- The authors transfer the copyright and give the the journal first publication right of the work registered with Creative Commons Attribution License, which allows third parties to use the published work on the condition of always mentioning the authorship and first publication in this journal.
- The authors may perform other independent and additional contractual arrangements for the non-exclusive distribution of the version of the article published in this issue (E.g., Inclusion in an institutional repository or publication in a book), it must be indicated clearly that the work was first published in this journal.
- It allows and encourages the authors to publish their work online (eg institutional or personal pages) before and during the review and publication process. It can lead to productive exchanges and greater and faster dissemination of the published work (see The Effect of Open Access)
Instructions to fill out Certificate of Originality and Copyright Assignment
- Click here and get the forms of Certificate of Originality and Copyright Assignment .
- In each field to fill out, click and complete the corresponding information.
- Once the fields are filled out, at the end of the form copy your scanned signature or digital signature. Please adjust the size of the signature on the form.
- Finally, you can save them as pdf files and send them through the OJS platform as an attachment.
