Recent Advances in Digital Agriculture Based on Remote Sensing, Biometrics and Artificial Intelligence Applications

Digital Agriculture deals with the implementation and integration of digital data, sensors and tools on agricultural applications from the paddock to consumers. These technologies can range from: big data, sensor technology, sensor networks, remote sensing, robotics, and unmanned aerial vehicles (UAV). Data processing is performed using new and emerging technologies, such as computer vision, machine learning and artificial intelligence, among others. The latest advances made by the DAFW group for crop monitoring/decision making, assessment of the quality of produces, sensory analysis for consumer perception assessment and animal stress and welfare assessment are presented in this article.