By ECE News<div><img width="2000" height="1125" src="https://www.ece.ncsu.edu/wp-content/uploads/2018/07/cq5dam.web_.16-9.12retina.jpg" alt="" srcset="https://www.ece.ncsu.edu/wp-content/uploads/2018/07/cq5dam.web_.16-9.12retina.jpg 2000w, https://www.ece.ncsu.edu/wp-content/uploads/2018/07/cq5dam.web_.16-9.12retina-452x254.jpg 452w, https://www.ece.ncsu.edu/wp-content/uploads/2018/07/cq5dam.web_.16-9.12retina-768x432.jpg 768w, https://www.ece.ncsu.edu/wp-content/uploads/2018/07/cq5dam.web_.16-9.12retina-1024x576.jpg 1024w, https://www.ece.ncsu.edu/wp-content/uploads/2018/07/cq5dam.web_.16-9.12retina-1080x608.jpg 1080w" sizes="(max-width: 2000px) 100vw, 2000px"></div>Winning team of a plant scientist and two electrical engineers identifies new technology to detect biotic plant health stress