Rafael Rieder

TL;DR: This work presents a systematic review that aims to identify the applicability of computer vision in precision agriculture for the production of the five most produced grains in the world: maize, rice, wheat, soybean, and barley.

TL;DR: The evaluation showed that the game could be used as a useful tool to motivate the patients during rehabilitation sessions, and next step is to evaluate its effectiveness for stroke patients, in order to verify if the interface and game exercises contribute into the motor rehabilitation treatment progress.

TL;DR: A survey considering the following Computer Science digital research databases found three hundred studies, published between 2015 to 2019, that showed the use of convolutional neural network approaches, techniques to improve feature extraction, the lack of treatment to insect overlapping, and the non-use of instance segmentation via deep learning.

TL;DR: A method and software to automate the counting and classification of Rhopalosiphum padi using image processing, computer vision, and machine learning methods proved to be reliable and useful to aphid population monitoring studies.

TL;DR: This field is in need of a usability evaluation method for serious games, especially games for older adults, and that the definition of a methodology and a test protocol may offer the user more comfort, welfare, and confidence.