Company Filing History:
Years Active: 2013-2015
Title: Innovations by Michael David Coleman
Introduction
Michael David Coleman is an accomplished inventor based in Glen Mills, PA (US). He has made significant contributions to the field of seed classification through his innovative methods and systems. With a total of 2 patents, Coleman has focused on utilizing spectral analysis to enhance the understanding of seed structures.
Latest Patents
Coleman's latest patents revolve around the concept of seed classification using spectral analysis to determine the existence of seed structures. This disclosure details a method and system that models a seed structure and employs spectral analysis to identify which morphological seed structures are present in the seed or seedling. Furthermore, it describes a method that applies multi-spectral analysis using predetermined models of a seed or seedling to ascertain the existence of various morphological structures. The information gathered regarding the existence or non-existence of these structures is crucial for classifying the seed with specific characteristics, which can be utilized for commercial purposes. The seed market plays a vital role in determining which specific characteristics will be used for classification, and individual seed classification may assist in determining associated seed lot germination values.
Career Highlights
Michael Coleman is currently associated with Ball Horticultural Company, where he continues to innovate in the field of horticulture. His work has been instrumental in advancing seed classification techniques, which are essential for the agricultural industry.
Collaborations
Coleman collaborates with notable colleagues, including Robert S. Conrad and Paul L. Falkenstein, who contribute to his research and development efforts.
Conclusion
Michael David Coleman is a prominent inventor whose work in seed classification through spectral analysis has the potential to revolutionize the agricultural sector. His contributions are paving the way for more efficient seed classification methods that can significantly impact commercial seed use.