Paul Selina

Vice President Applied Research & Development @ Village Farms International

About Paul Selina

Paul Selina's Role as Vice President Applied Research & Development

Paul Selina serves as the Vice President of Applied Research & Development. His role involves overseeing the integration and application of cutting-edge technologies in greenhouse and indoor agriculture. He collaborates with technology suppliers to implement new cameras and sensors for monitoring plant responses. Additionally, he utilizes machine learning and AI to enhance climate control systems in these environments.

Paul Selina's Education and Expertise in Horticulture

Paul Selina studied Horticulture at the University of Nottingham. His educational background has provided a solid foundation for his extensive career in the field. Throughout his career, he has applied his horticultural knowledge to manage greenhouses with varying technologies and climates. His expertise extends to a broad spectrum of agricultural practices.

Paul Selina's Career Beginnings and Greenhouse Management

Paul Selina began his growing career in the United Kingdom. Over the years, he has managed greenhouses that utilize a wide range of technologies and are situated in diverse climates. His experience in managing these complex systems has made him a well-respected figure in the industry.

Paul Selina's Influence in Indoor Agriculture and Cannabis Cultivation

Paul Selina is a widely respected figure in the indoor agriculture industry and has recently focused on cannabis cultivation. He is frequently invited to speak at industry conferences, sharing his insights and experiences. His contributions involve developing new greenhouse designs and cropping programs, particularly for upcoming cannabis projects in the US and internationally.

Paul Selina's Work with Advanced Agricultural Technologies

Paul Selina is actively engaged with advanced agricultural technologies. He works with suppliers to monitor plant responses using state-of-the-art cameras and sensors. Additionally, he models crop development and applies machine learning and AI to optimize the control of greenhouse and indoor climates. His efforts aim to improve the efficiency and productivity of modern agricultural practices.

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