Journals Information
Universal Journal of Agricultural Research Vol. 13(5), pp. 55 - 67
DOI: 10.13189/ujar.2025.130501
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Perceived Hydraulic Flow Behavior and the Use of Artificial Neural Networks in Sprinkler Irrigation Systems in the District of Pucar谩, 2024
Giovanni Joel Vila Romero *, Yandira Clara Vasquez Martinez , Erick Jonathan Ya帽ac Terrel
Faculty of Engineering, Academic Professional School of Civil Engineering, Continental University, Peru
ABSTRACT
Objective: This study aimed to determine the relationship between the perceived hydraulic behavior of flows and the reported use of artificial neural networks (ANNs) in sprinkler irrigation systems in the Pucar谩 District (Pucapuquio annex), during 2024. Method: A quantitative approach was employed, using correlational research with a non-experimental, cross-sectional design. The study variables were (1) perceived hydraulic flow behavior and (2) the use of artificial neural networks, both categorical in nature. The population consisted of 42 owners of sprinkler irrigation systems, and the sample included 37 systems selected through non-probabilistic sampling. Data were collected using a Likert-type questionnaire with an ordinal scale. Two instruments were applied: one with 16 items to measure hydraulic flow behavior and another with 16 items to assess the use of artificial neural networks. Both instruments were validated by expert judgment and demonstrated acceptable reliability according to Cronbach's alpha coefficient. Results: The general hypothesis yielded a Spearman's correlation coefficient of 0.932 with a significance level of 0.000, indicating a direct and highly significant relationship between the two variables. Additionally, 39.36% of participants reported that hydraulic behavior was positively associated with the use of artificial neural networks. Conclusions: There is a significant relationship between perceptions of hydraulic flow behavior and the use of artificial neural networks in sprinkler irrigation systems. The findings suggest that the greater use of ANNs is associated with a perceived increase in hydraulic efficiency in these systems, although a causal relationship cannot be established.
KEYWORDS
Hydraulic Behavior of Flows, Artificial Neural Networks, Sprinkler Irrigation Systems
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Giovanni Joel Vila Romero , Yandira Clara Vasquez Martinez , Erick Jonathan Ya帽ac Terrel , "Perceived Hydraulic Flow Behavior and the Use of Artificial Neural Networks in Sprinkler Irrigation Systems in the District of Pucar谩, 2024," Universal Journal of Agricultural Research, Vol. 13, No. 5, pp. 55 - 67, 2025. DOI: 10.13189/ujar.2025.130501.
(b). APA Format:
Giovanni Joel Vila Romero , Yandira Clara Vasquez Martinez , Erick Jonathan Ya帽ac Terrel (2025). Perceived Hydraulic Flow Behavior and the Use of Artificial Neural Networks in Sprinkler Irrigation Systems in the District of Pucar谩, 2024. Universal Journal of Agricultural Research, 13(5), 55 - 67. DOI: 10.13189/ujar.2025.130501.