A method for estimating yield of maize inbred lines by assimilating WOFOST model with Sentinel-2 satellite data.

ABSTRACT: Maize is the most widely planted food crop in China, and maize inbred lines, as the basis of maize genetic breeding and seed breeding, have a significant impact on China's seed security and food safety. Satellite remote sensing technology has been widely used for growth monitoring and yield estimation of various crops, but it is still doubtful whether the existing remote sensing monitoring means can distinguish the growth difference between maize inbred lines and hybrids and accurately estimate the yield of maize inbred lines. This paper explores a method for estimating the yield of maize inbred lines based on the assimilation of crop models and remote sensing data, initially solves the problem. At first, this paper analyzed the WOFOST(World Food Studies)model parameter sensitivity and use

SUBMITTER: Liu J 

PROVIDER: S-EPMC10513754 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature