Smart devices for digital agriculture, food, healthcare and infrastructure

We describe development of low-cost Internet of things (IoT) devices to gather data and help solve societal grand challenges in water, food, healthcare and infrastructure. There are scale up manufacturing challenges to make robust and accurate sensors. Furthermore, one has to obtain reliable data in harsh outside environment. In-line characterization, imaging and sensor diversity with physics-guided machine learning are used to make robust low-cost chemical and biological sensors to monitor soil and water health, food packages as well as wearable devices for healthcare or smart infrastructure. Requirements for continuous measurements with low-power long range communication or the use of passive RFID sensors will be discussed.