Digital Agriculture (DA) deals with the implementation and integration of digital data, sensors, and tools on agricultural, food, and wine applications from the paddock/vineyard to consumers. These technologies can range from big data, sensor technology, sensor networks, remote sensing, robotics, 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 and animal stress, and welfare assessment.
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