Maize-IAS: a maize image analysis software using deep learning for high-throughput plant phenotyping.

ABSTRACT:

Background

Maize (Zea mays L.) is one of the most important food sources in the world and has been one of the main targets of plant genetics and phenotypic research for centuries. Observation and analysis of various morphological phenotypic traits during maize growth are essential for genetic and breeding study. The generally huge number of samples produce an enormous amount of high-resolution image data. While high throughput plant phenotyping platforms are increasingly used in maize breeding trials, there is a reasonable need for software tools that can automatically identify visual phenotypic features of maize plants and implement batch processing on image datasets.

Results

On the boundary between computer vision and plant science, we utilize advanced deep learning method

SUBMITTER: Zhou S 

PROVIDER: S-EPMC8086349 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature