Algoritmo de Detección, Seguimiento y Conteo de Fresas en Secuencias de Video con Entorno Controlado para Cálculo de Madurez

Abstract

This work presents a proposal for monitoring strawberry crops through a tool that enhances the efficacy and efficiency of crop management. By the use of video footages of strawberries on cultivation beds or conveyors belts, the proposed tool aims to reduce the administrative burden of manually tracking the maturation periods and counting of strawberries. The tool employs algorithms to generate digital files that provide horticulturists with timely and accessible data on their crops. Key features of the tool include the identification of fruits within video frames, consistent tracking of each identified object throughout the sequence to maintain accuracy, and the extraction of these objects for counting and maturity assessment, among other metrics. This innovation could significantly boost production and establish higher quality standards.