Bibliographic citations
Díaz, L., (2024). "Implementación de Algoritmos de Procesamiento de Imágenes Satelitales Multiespectrales para Optimizar la Gestión de Cultivos Agrícolas en la empresa Danper: Período 2018-2023" [Universidad Nacional de Trujillo]. https://hdl.handle.net/20.500.14414/22679
Díaz, L., "Implementación de Algoritmos de Procesamiento de Imágenes Satelitales Multiespectrales para Optimizar la Gestión de Cultivos Agrícolas en la empresa Danper: Período 2018-2023" []. PE: Universidad Nacional de Trujillo; 2024. https://hdl.handle.net/20.500.14414/22679
@misc{renati/1050610,
title = ""Implementación de Algoritmos de Procesamiento de Imágenes Satelitales Multiespectrales para Optimizar la Gestión de Cultivos Agrícolas en la empresa Danper: Período 2018-2023"",
author = "Díaz López, Luis José Antonio",
publisher = "Universidad Nacional de Trujillo",
year = "2024"
}
ABSTRACT The professional sufficiency work presented covers the applied workflow for monitoring, analysis, and management of agricultural crops in the company DANPER S.A.C., using multispectral satellite images. During the development, a work methodology was proposed for the preparation of the fields, the processing of the information, and the closing of the work loop through the final feedback by those in charge of the main agricultural areas. The project begins with the weekly validation of the availability of satellite images suitable for the different varieties of crops. Once this is done, an ordered sequence of steps is followed that range from downloading to the integration of the final vigorosity map. The generated deliverable allows field managers to manage decision-making remotely or on site, being able to view their work environment through a zoned map, which allows them to take much more efficient actions based on numerical indicators associated with the vigor value of their fields. The work presented demonstrated the importance of using satellite remote sensing technologies and how they serve as a very important tool to optimize management and decision-making in the different crop areas by digitalizing multispectral vigor indicators. The final solution was adopted and applied within the main field management processes. Finally, it is suggested that tools and technologies be used to increase the number of correlations of agricultural variables, as well as to always ensure the availability of images based on the frequency of work. Keywords: remote sensing, multispectral, satellite.
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