Tesis
Diseño e implementación de un sistema de visión artificial para análisis de datos NDVI en imágenes espectrales de cultivos de brócoli obtenidos mediante una aeronave pilotada remotamente.
Fecha
2018-01Registro en:
Bautista Zurita, Rodrigo Cristóbal. (2018). Diseño e implementación de un sistema de visión artificial para análisis de datos NDVI en imágenes espectrales de cultivos de brócoli obtenidos mediante una aeronave pilotada remotamente. Escuela Superior Politécnica de Chimborazo. Riobamba.
Autor
Bautista Zurita, Rodrigo Cristóbal
Resumen
The aim of this research was to give an applied vision technique for the detection of characteristics
in the evolution of broccoli growing. For the development of the system, a Survey 2 camera was
included, which has a double band filter that reflects the red light to the red channel of the red,
green, blue (RGB) sensor, and reflects the nearby light into the blue channel of the RGB sensor.
The camera was adapted to an unmanned aerial vehicle and for its safety, coupled by a structure
that was designed by the SolidWorks program and built in a 3D printer. The software design
algorithm was made in the programming language Matlab, which consists of the digital
processing of the spectral image, which bases its operation on the fact that the pigment in the
leaves in the plant (chlorophyll) strongly absorbs the visible light for its use in photosynthesis and
the cellular structure of the leaves, on the other hand, strongly reflects the light of the nearby
infrared. The more leaves a plant has, the more wavelengths of light are affected respectively,
that is why the purpose was to create a relation between the spectral image taken at a suitable
height and the object to be studied (broccoli). Once the photographs were acquired with the
camera, they were downloaded to a computer to be processed, obtaining the normalized
differentiated vegetation index (NDVI), allowing to determine the quantity, quality and growth
of the plants. The system has been tested in different broccoli crops in the province of Cotopaxi,
bringing the expected results. It is recommended to expand the research with the development of
software capable of automatically detecting areas with depressed vegetation througt the use of
spectral indicators.