Advances in high‐throughput omics technologies are leading plant biology research into the
era of big data. Machine learning (ML) performs an important role in plant systems biology …

The dynamics of maize tassel area reflect the growth and development of maize plants,
monitoring which facilitates crop breeding and management. At present, the monitoring of …

Long-term field monitoring of leaf pigment content is informative for understanding plant
responses to environments distinct from regulated chambers but is impractical by …

Background Automatic and accurate estimation of disease severity is critical for disease
management and yield loss prediction. Conventional disease severity estimation is …

Leaf segmentation from plant images is a challenging task, especially when multiple leaves
are overlapping in images with a complex background. Recently, deep learning-based …

The monitoring of the tassel number and tasseling time reflects the maize growth and is
necessary for crop management. However, it mainly depends on field observations, which is …

Despite the broad array of roles for epigenetic mechanisms on regulating diverse processes
in eukaryotes, no experimental system is currently available in plants for the direct …

In recent years, rice seedling raising factories have gradually been promoted in China. The
seedlings bred in the factory need to be selected manually and then transplanted to the field …

Highlights•A high-accuracy approach of plant genotype classification is
proposed.•Genotypes were classified by simultaneously considering spatiotemporal …

Genomic studies often attempt to link natural genetic variation with important phenotypic
variation. To succeed, robust and reliable phenotypic data, as well as curated genomic …