Managing crops from UAV images with data processing and Deep Learning techniques

Deep Learning is the state-of-the-art of Artificial Intelligence. Companies around the world put this technology to practical use. Accordingly, this work pretends to investigate the benefits of its use in agriculture in combination with unmanned aerial vehicles. The report introduces Deep Learning by giving its definition and the inspiration behind this technology. Further, its functioning was studied to gain an understanding of how it is applied to real-world tasks and what variations of Deep Learning exist. Accordingly, the suitable Deep Learning algorithm and its implementation was selected to fulfill the objectives of this project. The report proceeds with explaining the computer code that was written to utilize an already existing implementation and the problems that were encountered. Finally, the discussion of the accomplished results is presented along with the conclusions of the entire project and comments on future works