Bibliographic citations
Gonzáles, M., Lifonso, M. (2020). Sistema de visión computacional para la identificación de heliothis virescens en plantas de arándano en una empresa agroindustrial, Chao 2020 [Tesis, Universidad Privada del Norte]. https://hdl.handle.net/11537/23979
Gonzáles, M., Lifonso, M. Sistema de visión computacional para la identificación de heliothis virescens en plantas de arándano en una empresa agroindustrial, Chao 2020 [Tesis]. PE: Universidad Privada del Norte; 2020. https://hdl.handle.net/11537/23979
@misc{sunedu/3012142,
title = "Sistema de visión computacional para la identificación de heliothis virescens en plantas de arándano en una empresa agroindustrial, Chao 2020",
author = "Lifonso Zavaleta, Marisol",
publisher = "Universidad Privada del Norte",
year = "2020"
}
This research work was carried out with the aim of determining the influence of a computational vision system in the identification of heliothis virescens and bemisia tabaci in blueberry plants, in an agricultural farm in the Chao district in 2020. The type of study was pre-experimental, with a sample consisting of 36 lots of blueberry plantation. For data collection, observation was applied to obtain the time and precision of the process of identifying pests in blueberries. Excel was used for data analysis. The dimensions included for the identification of pests in blueberry plants were Process Execution and Precision, while the dimensions included in the Computational Vision System were Functional adequacy and Usability.
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