The relationship between academia and commercial innovators has been paramount in the continuous development of hyperspectral imaging (HSI) devices and systems for remote-sensing applications in precision agriculture. Lab-quality remotely sensed data is mature for application in academic and commercial settings and is being taken directly to the field. Plant breeding is labor-intensive, which often means that it is slow, expensive, and subjective. Early adopters see positive impacts from the use of sensor-and-analytics ecosystems. The ability to enhance and even enable day-to-day monitoring promises valuable gains in insights and efficiencies. Continuous acquisition and exploitation of high-quality data with innovative commercial devices provide significant advantages in objective, rapid, and automated monitoring and phenotyping. Please join our discussion with Dr. Melba Crawford of Purdue University and Matthew Bechdol of GRYFN as we look at the relationships that are making it easier to utilize the data collected from these devices and how they are advancing agricultural science. The recorded webinar is now available to view. We will shortly be adding it to our Videos page along with a Q&A list.