Hyperspectral imaging has evolved significantly over the past decade, becoming an increasingly established technique to solve specific quality and safety challenges in the agricultural industry. Adoption has been driven by improvements in sensor technology, the availability of powerful processing hardware, and the application of AI to interpret complex biological signatures. Yet, despite these advances, the deployment of HSI in agriculture often remains fragmented—siloed in either the R&D lab or on a single, isolated production line. The complexity of bridging the gap from controlled greenhouse analytics to the high-speed, variable environment of a commercial packhouse has limited its end-to-end impact. This presentation provides a holistic "From Farm to Market" perspective, illustrating how hyperspectral imaging can be deployed across the entire value chain. Real-world examples—from seed phenotyping and early disease detection to automated bruise grading and package seal inspection—will demonstrate how this technology is becoming a truly integrated and scalable tool, making the power of spectral imaging a practical solution for agriculture’s most pressing challenges.
Speaker
 |
| |
| |
Patrick De Guelle
Sales Manager US – South / East
Konica Minolta Sensing Americas, Inc. (Specim) (United States)
|
|
|
Patrick De Guelle is Sales Manager for the US – South and East with Konica Minolta Sensing Americas, Inc., where he is responsible for Specim hyperspectral imaging solutions. With more than 20 years of experience in technical and industrial markets, he focuses on connecting advanced imaging technologies with real-world challenges in agriculture, food safety, recycling, and process monitoring.
With a master’s degree in molecular biology, he brings a perspective that spans from microscopy to remote sensing—linking micro-scale observations to macro-scale applications. Drawing on this background, he is passionate about advancing the adoption of imaging technologies and supporting organizations in applying them to improve efficiency, accuracy, and sustainability.
He sees artificial intelligence and machine learning as essential tools for maximizing value of hyperspectral data in agriculture enabling faster, more precise and scalable solutions for growers, producers, and researchers. At KMSA, he collaborates closely with engineers, researchers, and industry leaders to advance the adoption of hyperspectral imaging.
Event Details
FORMAT: Oral presentation followed by audience Q&A.
MENU: Coffee, decaf, tea and water will be available nearby.
SETUP: Theater seating.
