"This work presents the design and development of a multispectral imaging system for crop monitoring tasks. The imaging system features two small digital cameras controlled by a microcomputer embedded in an Unmanned Aerial Vehicle (UAV) through a trigger system, which is specially designed for this purpose. One of the cameras has been modified to capture infrared radiation reflected by the vegetation. In order to determine the health status of the crops, the Normalized Difference Vegetation Index (NDVI) is computed in a developed software. Once the aerial imagery is obtained by the UAV, it is processed to eliminate image distortions and insert specific metadata needed for generating an orthomosaic with the health information of the plant or soil of interest. Finally, the vegetation index will be computed from the visible and infrared orthomosaics for a better interpretation of the user. Experiments are presented to show the effectiveness of the system." Esta tesis fue apoyada por el Proyecto FORDECyT-CONACYT 292399 “Generación de Estrategias Científico-Tecnológicas con un enfoque multidisciplinario e Interinstitucional para afrontar la amenaza que representa los complejos ambrosiales en los sectores agrícola y forestal de México”