Journal of Remote Sensing & GIS

An automatic georeferenced crop rows generator using aerial high-resolution images for precision agriculture in sugarcane crops

5^th International Conference on GIS and Remote Sensing

September 16-17, 2019 | Rome, Italy

Fabio Andres Herrera

Universidad del Valle - Ciudad Universitaria Melendez, Colombia

Posters & Accepted Abstracts: J Remote Sens GIS

Abstract:

Georeferenced crop rows are used as an input for guiding precision agricultural machinery. Agricultural machinery is supported by highly accurate, real-time kinematic global satellite navigation systems. Georeferenced crop rows generation is an expensive and time-consuming task. In this research, a crop rows generation in sugarcane crops will be addressed through image processing and computer vision techniques through a developed QGIS Plugin “Crop Rows Generator (CRG)”. CRG involves computer vision techniques and a high-performance computing approach which are capable of process high-resolution large images obtained by a Drone and on these images detect, generate and mapping crop rows in sugarcane fields, with a few clicks. Generate crop rows using CRG improves processing time above to 200% compared to manual method and beyond 650% compared to the mechanized method. Crop Rows generation performance is above to 83% and overall most of the horizontal errors are in range between +-(2.5 to 10) cm.

Biography :

Fabio Andres Herrera is Topographic Engineer(B.Eng) and Geomatics Specialist (PgD) with a Master’s degree in Engineering with a emphasis in Computer Science (M.Sc). With 10 years of professional experience in Geomatics. He was involved in sugarcane research activities for more than 8 years in different national and international projects using geospatial tools, GIS mapping, remote sensing, spatial data analysis, geospatial database management, cartography generation, aerial survey in the Colombian Sugarcane Research Center (Cenicaña). Actually, he is linked to the academy as a part-time teacher in undergraduate and postgraduate audiences in Geomatics line courses.