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Article - Main Track Machine Learning and Drones Applied to Orchards: a Systematic Review Author: BARBOSA, M. F.; HELFER, G. A.; BARBOSA, J. L. V. Abstract: In this review, we reviewed two technologies that are in high demand nowadays and how they have been used in orchard of apple and orange. One of them is an unmanned aerial vehicle (UAV) mostly used by the military, and the other is machine learning, which has been increasingly used by companies. The systematic mapping study was performed in six databases comprising articles published between 2010 and April 2021. The initial search resulted in 589 articles, out of which 12 were selected after applying the criterion filter. The main results obtained are: (1) most articles (7/12, 58.3%) mapped the orchard in order to do an inventory; (2) almost all articles utilized techniques considered state-of-art to detect objects, and from those, 4 (33.3%) used Faster R-CNN and 3 (25%) used some version of YOLO; (3) all of them used some kind of camera to obtain data, and the most utilized were cameras RGB (8/12, 66.67%); (4) half of the publications used a quadcopter drones; (5) Brazil is the country with more participation in the selected articles (5/12, 41.67%); and (6) the oldest article found about the subject in last ten years is from 2019 and the quantity increased in the last years. The results showed that the subject is new, and few articles had been published but has a tendence of growing. Keywords: Drone, Machine Learning, Orchard Full Reference: Varaejão, F. M., Barbosa, M. F.; Helfer, G. A.; Barbosa, J. L. V., "Aprendizado de Máquina e Drones Aplicados em Pomares: Um Mapeamento Sistemático", Revista de Sistemas de Informação da FSMA n 28(2021) pp. 27-34 |