Heterogeneous sensor data fusion by deep learning

Heterogeneous sensor data fusion for decision-making is a challenging field that has gathered significant interest in recent years. In agriculture, for example, environmental conditions such as temperature, illuminance and humidity can be correlated with plant growth data, so that appropriate actions may be taken to maximize crop yield. In this chapter, we will provide an overview of heterogeneous sensor data fusion, including the background, basic deep learning techniques, and how these techniques can be used for sensor data fusion tasks. We will close this chapter with a detailed case study.