Identificación de deficiencias nutricionales en pasto Brachiaria sp., mediante fotografía espectral.

Abstract

The study focuses on the use of drones equipped with multispectral cameras to identify and quantify nutritional deficiencies in Brachiaria sp., pastures at a dairy cattle production farm in Santo Domingo de los Tsáchilas, Ecuador. An Autel Evo 2 Pro 6K drone was used to capture high-resolution aerial images, which were then analyzed to detect nutrient levels such as nitrogen, phosphorus, potassium, and others. Soil analysis revealed deficiencies in certain nutrients that could limit the development and production of the pasture. The methodology included taking images at 150 meters altitude and validating the results with field data. The study concluded that photogrammetry with drones is an effective tool for monitoring and managing the nutritional status of pastures, enabling timely and precise intervention in fertilization and soil amendments. This innovative approach promises to enhance the sustainability and efficiency of tropical livestock production.