RGB image processing application (Back-End) for the detection of the "Witch's Broom" disease IAFRUT

Authors

  • ROCÍO NORIEGA-GUZMÁN
  • PEDRO ENRIQUE GONZÁLEZ-HURTADO

Keywords:

RGB, Intelligence Artificial, Algorithms, Escoba de la Bruja

Abstract

Mexico ranks sixth internationally in mango
production, in 2011 174,969.85 ha were harvested
with a yield of 1,632,649.34 t and a value in
thousands of pesos of 4,347,697.77. At the national
level, the main producing states are Sinaloa, Chiapas,
Guerrero, Nayarit, Veracruz and Michoacán. The
state of Guerrero ranks third with a harvested area of
24,658 ha and a production of 13,473 t ha-1.
In Mexico, the disease "Escoba de la Bruja" in mango
was registered for the first time in 1958 in the state
of Veracruz and later it was detected in the states of
Morelos and Guerrero, in the types of mango known
as "manilas" and "criollos".
To carry out this project, many tools were used,
including artificial intelligence, which were
fundamental to the success of the application.
Processing libraries, coding language, text editor and
more were used in order to satisfactorily meet the
client's needs.
The RGB application is made mainly for farmers
targeting mango to have an improvement in their
fruits and thus be able to have a higher production.

Published

2023-07-21

How to Cite

NORIEGA-GUZMÁN, R. and GONZÁLEZ-HURTADO, P. E. (2023) “RGB image processing application (Back-End) for the detection of the ‘Witch’s Broom’ disease IAFRUT”, Foro de Estudios sobre Guerrero, 9(2), pp. 24–29. Available at: https://revistafesgro.cocytieg.gob.mx/index.php/revista/article/view/844 (Accessed: 21 November 2024).

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Artículos Originales