UAV-Based Crop Monitoring Through Multispectral Image Processing using Open-Source Tools

Aerial imagery map generation depends on the application of several optimization processes for image quality improvement. This is usually done by proprietary software, which removes the possibility of code customization and often requires expensive licenses. This paper proposes the adoption of an open-source aerial mapping tool as a learning platform in the area of unmanned aerial vehicle (UAV) mapping, posing as an alternative to commercial programs in the study of multispectral aerial images applied to crop health monitoring. The paper discusses the results obtained in the experiments using the different processing methods available at the proposed tool.