The CGIAR Platform for Big Data in Agriculture closed in December 2021. Its work continues under the CGIAR Digital Innovation initiative and the Digital and Data unit at System Office
Matthew Reynolds and Zhonghu He from CIMMYT co-authored a paper, A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral unmanned aerial vehicle (UAV) platform, investigating the potential of using UAV-based NDVI measurement in the phenotyping of wheat varieties in the breeding program.
Recent innovations in digital imagery and sensors save money and time in the collection of data related to phenotyping. These technologies, known as high-throughput phenotyping platforms, replace lengthy paper-based visual observations of crop trials.