At first sight, plant diseases are diagnosed as being caused by a single factor or microbe. It is more commonly the case that infections are either caused by, or the result of, a complex of multiple pathogens. The complexity of these types of infections make them difficult to understand, study or manage. However, that understanding is important for the development of breeding strategies for resistant lines and creation of novel control strategies. Thinking farther afield, evaluation of crop health has taken many forms over the decades and employed many different types of technologies and measurements. Studies at Ohio State have shown remote sensing to be a highly effective method for evaluating plant health for everything from forests systems to rice fields. This project proposes to apply that technology to soybean fields in Ohio to evaluate plant health and disease complexes.