Orígenes del debate Librecambio-Proteccionismo: Smith, Ricardo, Hamilton Y List

Pérez, Wendy Díaz

doi:10.32870/myn.v0i2.4903

Cited by 1 publication

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“…La visión artificial es un campo de la inteligencia artificial que utiliza tecnología de inteligencia artificial, para identificar, procesar y analizar toda la información recaudada por medio de imágenes digitales y lo hace con una mayor precisión que el ojo humano [3]. Para hacer el algoritmo de visión artificial, el lenguaje de programación más usado es Python, el cual es un lenguaje de programación gratuito, de alto nivel y multiplataforma, está disponible para Windows, Linux y otros sistemas operativos, es el más usado porque su estructura es más sencilla que otros lenguajes de programación [4]. El gusano blanco, científicamente es llamado Premnotrypes vorax, está dentro de las especies plaga que más daño cusan al cultivo de papa en el mundo, las larvas se alimentan de la pulpa de los tubérculos y los adultos de las hojas de la papa [5].…”

Section: Introductionunclassified

Artificial Vision System Based on Neural Networks to Identify Defects in Yungay Potato and Huevo de indio Caused by Premnotrypes Vorax

Valderrama¹,

Alfaro²,

León³

2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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This research presents a proposal for an artificial vision system, based on neural networks to identify defects in Yungay potato and Huevo de indio, caused by Premnotrypes Vorax. The objective of this research was to develop an artificial vision algorithm that allows the detection of potatoes with defects caused by the white worm. For the realization of the software, the Python programming language and the Tensorflow platform were used, through an experimental and quantitative trial and error methodology, the developed software allowed to identify and classify normal potatoes from potatoes with defects produced by the presence of Premnotrypes Vorax. . An efficiency level of 96.33% was achieved for the Yungay potato, while for the Huevo de Indio potato, the efficiency was 95.12%, observing that it is more effective in the Yungay potato. Concluding that the implementation of software with artificial vision is a good opportunity for improvement for farmers and agro-industries that produce potatoes because they would be more efficient when classifying potatoes.

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Section: Introductionunclassified