PhotosynQ More Than A Device – It Adds Human Context To Sensor Data
Greg Austic at Michigan State University discusses how to combine sensor data, human-inputted data and discussion to create the context that provides useful and scientifically-validated food production information to the people who need it most.
PhotosynQ: The Global Plant Happiness Project
PhotosynQ is a network of low cost, hand-held measurement devices which researchers, educators, and citizen scientists can use to build a global database of plant health.
PhotosynQ: Working Local, Thinking Global
Imagine a way to uniformly and easily collect a broad range of plant data at remote locations around the earth and share it worldwide immediately and freely, allowing unlimited cross-collaborations and research possibilities. David Kramer’s lab is making this happen now, with the PhotosynQ project.