Description: New techniques in high-resolution spatio-spectral imaging and intelligent analytics are enabling breeders and researchers to bring higher-performing seeds and inputs to market faster, and at lower risk, than ever before. These new technologies automate phenotyping throughout the plant development cycle, and in response to changing inputs and environment, to provide researchers and breeders more accurate and comprehensive data to support their advancement decisions.
Technical methods related to spectral imaging, object recognition and segmentation, trait measurement, and workflows will be introduced with application to multiple crop types including corn, soybean, wheat, cotton, canola, and sorghum.
Why it Matters to the Seed Industry: The ability of breeders and researchers to bring continuing improvements to new seed and crop protection products is becoming constrained by the inability to accurately quantify and predict the performance of important traits across trials.
The new techniques to be introduced in this session enable more automated and comprehensive trait measurements that relieve this constraint and open opportunities for better performing inputs and more accurate forecasting. As a result, suppliers can develop higher-performing products and accelerate time-to-market by 1-2 years.
151 East Wacker Drive
Chicago, IL 60601
United States
Description: New techniques in high-resolution spatio-spectral imaging and intelligent analytics are enabling breeders and researchers to bring higher-performing seeds and inputs to market faster, and at lower risk, than ever before. These new technologies automate phenotyping throughout the plant development cycle, and in response to changing inputs and environment, to provide researchers and breeders more accurate and comprehensive data to support their advancement decisions.
Technical methods related to spectral imaging, object recognition and segmentation, trait measurement, and workflows will be introduced with application to multiple crop types including corn, soybean, wheat, cotton, canola, and sorghum.
Why it Matters to the Seed Industry: The ability of breeders and researchers to bring continuing improvements to new seed and crop protection products is becoming constrained by the inability to accurately quantify and predict the performance of important traits across trials.
The new techniques to be introduced in this session enable more automated and comprehensive trait measurements that relieve this constraint and open opportunities for better performing inputs and more accurate forecasting. As a result, suppliers can develop higher-performing products and accelerate time-to-market by 1-2 years.