Intelligent system with computer vision to improve avocado crop management in an agricultural company (#825)

Authors

Berru Beltran, Rolando Javier

Vaca Honores, Courtney Lucero

Solano Portocarrero, Diego Fernado

Rodriguez Vilcarromero, Carlos Daniel

Abstract

This research evaluated the impact of an intelligent system with computer vision to improve avocado crop management in an agricultural entity during the year 2025. To this end, a pre-experimental design was applied with a sample of 15 workers selected according to inclusion criteria. The methodology included data collection using structured questionnaires, which were processed in XLSTAT software using Student's t-test and Wilcoxon's test. The statistical analysis showed substantial improvements in key management indicators: information availability increased by 50.18%, operational planning increased by 45.16%, monitoring frequency improved by 35.32%, and resource efficiency increased by 28.42%. These findings confirm that the proposed technological solution significantly optimizes monitoring and decision-making processes within the agricultural organization.