Dr. Keshav Singh is a Research Scientist at the Agriculture and Agri-Food Canada (AAFC) specializing in remote sensing and plant phenomics. He extensively worked on proximal and UAV-based high-throughput aerial imaging and digital agriculture to study various crops including wheat, canola, and lentils. He has developed an advanced calibration methodology to improve robustness of UAV-acquired remote sensing data. His current research entails leading the development of plant phenotyping methods using novel sensor-based systems (RGB, thermal, multispectral, and hyperspectral) in controlled and field environment. Under various projects, he involved in spectral imaging technology, agronomic data processing, image-cube analysis, machine learning algorithms development, crops mapping and analytics to monitor plant health. His research integrates digital imaging, computational modeling, and machine learning approaches to advance the science and develop tools that can help farmers for precision agriculture strategic planning. His research focuses on applying innovative sensing technologies for automated measurements of physiological and agronomic traits of crops. In combination with phenomics and genomics dataset his work has accelerated valuable outcomes to underpin faster delivery of new crop varieties with improved grain yield.