Received: 06-08-2021 / Accepted: 09-12-2021
Double increase in food production to feed 10 billion people sustainably by 2050 is a global challenge, which requires novel breeding methods with high-throughput and accuracy. The development of computer science, image sensors, machine learning, and artificial intelligence provided scientists with new methods for quantitative evaluation of plant phenotypes in the interaction between genotype and environment. It has generated a new area for quantitative analysis of phenotypes: high-throughput crop phenotyping (HTP) combining multidimensional from cellular, tissue, organ, individual to population level. Vietnam is a developing country, agriculture still plays a vital role in economic activity and is strongly influenced by climate change. Therefore, the application of achievements from HTP technology will contribute to shorten the time of evaluation and breeding cycle and develop new resilience varieties highly adaptable to climate change. This study highlighted the history, development and challenges of HTP and its potential application for Vietnam.