A Solution for Vegetation Analysis, Separation and Geolocation of Management Zones using Aerial Images by UAVs

摘要

This work presents an automatic system of vegetation monitoring and separation in management zones using aerial images captured by Unmanned Aerial Vehicles (UAVs). The system analyzes crop images and divides them into regions identified by color for easy visualization of problematic areas. To do so, it uses the Normalized Difference Vegetation Index (NDVI) and the K-means clustering algorithm. Besides, the system allows locating each management zone through geographical coordinates. The algorithm was optimized, allowing its execution in embedded systems. As result, processing times of approximately 6 s were achieved for an image with 9,387,360 pixels using a conventional computer, and 1.2 s for an image of 493,500 pixels using an embedded system.