REMOTE DETECTION OF STRESS IN CANE CROPS THROUGH MULTISPECTRAL IMAGES

Authors

  • Andrés Subert Semanat Universidad de Oriente, UO
  • Lídices Reyes Hung Aguas Santiago, Santiago de Cuba
  • David Castro Piñol Universidad de Oriente

Abstract

The cultivation of sugar cane as a raw material for the production of sugar constitutes the primary link in a large food chain. In the present work, an algorithm proposal was developed for remote sensing of stressed sugarcane crops using digital image processing techniques. The images used were captured in the fields of central Cuba using a multispectral camera, mounted on an Unmanned Aerial Vehicle (UAV). These were then processed on a computer, using algorithms based on the Matlab digital image processing package. The proposed technique used matrix operations between the bands, the Otsu method, and morphological and logical operations. This technique helped to differentiate sugarcane fields affected by stress from healthy crops.

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Published

2022-03-21

How to Cite

Subert Semanat, A., Reyes Hung, L. ., & Castro Piñol, D. (2022). REMOTE DETECTION OF STRESS IN CANE CROPS THROUGH MULTISPECTRAL IMAGES. Telemática, 20(4), 25–39. Retrieved from https://revistatelematica.cujae.edu.cu/index.php/tele/article/view/522