Multispectral aerial image processing system for precision agriculture


  • Samy Kharuf-Gutierrez Universidad Central “Marta Abreu” de las Villas
  • Rubén Orozco-Morales Universidad Central Marta Abreu de Las Villas, Santa Clara
  • Osmany de la C. Aday Díaz Estación Territorial de Investigaciones de la Caña de Azúcar
  • Emma Pineda Ruiz Estación Territorial de Investigaciones de la Caña de Azúcar



Near infrared; precision agriculture; Sequoia: unmanned aerial vehicle; vegetation index.


Cuban agriculture has the growing need to increase its productivity. To achieve this, precision agriculture can play a fundamental role. It is necessary to develop an image processing system able to process all the crops information and calculate vegetation indexes in a satisfactory way. This will entail in accurate measurements of the nitrogen lack, the hydric stress, and the vegetal strength, among other aspects, seeking to improve the accuracy in the care of these aspects. This document reports the results of an investigation pointed to develop a procedure for capturing and processing multispectral aerial images obtained from Unmanned Aerial Vehicles [UAV]. This procedure searched to measure the vegetation indexes of sugarcane crops that may be correlated with the level of vegetal strength, the number of stems, and the foliar mass per lot. We used a USENSE-X8 UAV together with a Sequoia multispectral sensor and the QGIS processing software. The procedure was experimentally validated.

Author Biographies

  • Samy Kharuf-Gutierrez, Universidad Central “Marta Abreu” de las Villas

    Automation Engineer from the Universidad Central “Marta Abreu” de Las Villas [UCLV] (Cuba, 2014). He is a professor at the Department of Automation and Computer Systems from the UCLV’s Faculty of Engineering and member of its Automation, Robotics and Perception Group [GARP]. His areas of professional interest include: multispectral image processing, modeling and control and guidance of unmanned vehicles.

  • Rubén Orozco-Morales, Universidad Central Marta Abreu de Las Villas, Santa Clara

    Engineer in Electronics, Master in Telecommunications (1994) and Ph.D., in Technical Sciences (1998) from the Electrical Engineering School of the Universidad Central de Las Villas (Santa Clara, Cuba). He is a professor at the Department of Automation and Computer Systems of the Faculty of Engineering of the same university and member of the Automation, Robotics and Perception Group [GARP]. His areas of professional interest include image analysis and recognition of patterns in images.

  • Osmany de la C. Aday Díaz, Estación Territorial de Investigaciones de la Caña de Azúcar

    Agronomics Engineer from the Universidad Central de Las Villas (Santa Clara, Cuba and PhD in Technical Sciences (2015) from the Universidad Agraria de la Habana “Fructuoso Rodríguez Pérez”. He works for ETICA the main research entity in matters related with sugar cane in Cuba. His main area of professional interest is vegetal sanitation.

  • Emma Pineda Ruiz, Estación Territorial de Investigaciones de la Caña de Azúcar

    Agronomics Engineer from the Universidad Central de Las Villas (Santa Clara, Cuba, 1981) and PhD in Technical Sciences (2002). She works for ETICA the main research entity in matters related with sugar cane in Cuba. Her main area of professional interest is the edaphology.


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