Hosted by APSA Standing Committee on Seed Technology, the webinar series on Seed Technology is organized exclusively for APSA members only. This year is the fifth year APSA will be holding this webinar series, and will focus on such topics as The Use of AI in the Seed Indutry, Susatinable Seed Enhancement, Seed Diagnostic Technologies & more.
TIME (GMT+7) |
AGENDA |
13.00 – 13.10 |
Opening of the Webinar Moderator: Dr Manish Patel, APSA Immediate Past President and member of APSA Standing Committee for Seed Technology |
13.10 – 13.30 |
Destructive method of seed quality analysis using proteomics (Iso Electrophoresis) technique (TBC) |
13.30 – 13.45 |
Q&A session |
13.45 – 14.05 |
Digital seed quality analysis by spectral imaging |
14.05 – 14.20 |
Q&A session |
14.20 - 14.40 |
AI-Driven non-destructive seed quality diagnostics methods |
14.40 - 14.55 |
Q&A session |
14.55 – 15.00 |
Wrap up and closing remarks |
Dr Vilas Parkhi
Lead-Research, Mahyco Pvt. Ltd.
Profile:
Senior research professional experienced in genetically modified and gene edited crop research. Currently involved in overall administration of gene-edited trait development & deployment, genomics, trait-linked marker development, variety/hybrid predictions, AI/ML based digital phenomics research.
Dr Jens Michael Carstensen
CEO, Videometer A/S
Profile:
Dr. Jens Michael Carstensen is CEO and co-founder of Videometer A/S. While founding and growing Videometer as a business over the last 20 years he has been part-time associate professor in imaging at the Technical University of Denmark. He was appointed adjunct professor of organism imaging at University of Copenhagen in 2009. Dr. Carstensen has been overall responsible for more than 750 commercial R&D projects of which many are in the seed and plant phenotyping field. Videometer is today a leading company within spectral imaging, which involves the whole process from illumination, optics, camera technology, imaging control, calibration, drift correction, multivariate analysis, segmentation, and quantification. Dr. Carstensen has co-authored 80+ peer-reviewed scientific publications as well as 6 patents. He is a member of the Vision Award jury for the biggest vision technology exhibition in the world held biannually in Stuttgart, Germany.
Abstract:
DIGITAL SEED QUALITY ANALYSIS BY SPECTRAL IMAGING
Revolutionizing the food and agriculture industry through spectral imaging, Videometer A/S has demonstrated how this technology can be used for precision seed analysis. Their recent advancements have further optimized application performance by leveraging digital seed databases and spectro-spatial analysis of physico-chemical properties, providing critical insights into seed quality traits and spectral range significance. Videometer continues to publish cutting-edge research and examples of real-world applications, cementing their position at the forefront of seed imaging innovations.
These examples illustrate how Videometer's innovative approach to seed analysis is transforming the seed industry by providing reliable, detailed insights that drive better decision-making and improve agricultural outcomes.
Dr Sarel Ashkenazy
CEO & Founder, Seed-X
Profile:
Sarel Ashkenazi is an experienced entrepreneur with over 25 years of proven business leadership, and a background in sales, operations and management. Prior to founding Seed-X, Sarel served as EVP Business at Kornit Digital Ltd (NASDAQ: KRNT), where he spearheaded business development increasing the company’s sales from $0 to over $100M.
In 2017, Sarel founded Seed-X Technologies, introducing AI and computer vision technologies to the Seed and Grain market. Sarel’s business and management experience underpin his vision of transforming traditional, conservative industries for success in the digital age. https://www.linkedin.com/in/sarelashkenazi/
Abstract:
AI-Driven Non-Destructive Seed quality diagnostics methods.
Harnessing AI and Deep Learning to Elevate Seed Quality Standards. In this session, we will explore how advanced deep learning algorithms and AI-driven technologies are transforming the agricultural industry’s ability to assess and enhance seed quality. The presentation will offer a comparative analysis of various imaging devices and vision systems, highlighting their effectiveness, limitations, and practical applications. Attendees will gain insights into how cutting-edge computer vision solutions can optimize seed sorting and classification processes, paving the way for more efficient and precise agricultural practices.
Countries/Territories | Time Zones | Event Time |
Iowa, USA | UTC -05:00 | 01:00 – 03:00 |
Israel, Lebanon | UTC +02:00 | 09:00 - 11:00 |
IJordan, Syria, Kuwait, Turkey | UTC +03:00 | 10:00 - 12:00 |
Iran | UTC +03:30 | 10:30 – 12:30 |
Pakistan | UTC +05:00 | 12:00 - 14:00 |
India, Sri Lanka | UTC +05:30 | 12:30 – 14:30 |
Nepal | UTC +05:45 | 12:45 – 14:45 |
Bangladesh, Krygyztan | UTC +06:00 | 13:00 - 15:00 |
Myanmar | UTC +06:30 | 13:30 - 15:30 |
Cambodia, Indonesia, Laos, Thailand, Vietnam | UTC +07:00 | 14:00 - 16:00 |
China, Chinese Taipei, Hong Kong-China, Malaysia, Philippines, Singapore | UTC +08:00 | 15:00 - 17:00 |
Japan, South Korea | UTC +09:00 | 16:00 - 18:00 |
Australia (Canberra) | UTC +11:00 | 18:00 - 20:00 |
New Zealand (Wellington) | UTC +13:00 | 20:00 - 22:00 |