Development of a multispectral system for precision agriculture applications using embedded devices

Angie Katherine Torres Galindo, Andrés Felipe Gómez Rivera,, Andrés Fernando Jiménez López


This document shows advances in the development of prototypes to acquire remote sensing information in Unmanned Aerial Vehicles for applications in precision agriculture. We present the development of two prototypes consisting of multispectral cameras for the blue, green, red, and near infrared bands using Tiva® C Series LaunchPad and Raspberry Pi development boards, which presented substantial differences in processing time and images storage. In this document, we describe the design and development of a multispectral information acquisition system to analyze vegetal coverage, initially in an African oil palm plantation. This system couples with an Unmanned Aerial Vehicle, allowing latitude and longitude maneuverability. This improves the data gathering efficiency in small plots, increasing the spatial and temporal resolution from a system controlled on the ground.


Precision agriculture; Python, remote sensing; software; wireless.

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