In agricultural image analysis, optimal model performance is keenly pursued for better
fulfilling visual recognition tasks (eg, image classification, segmentation, object detection …

As global land surface temperature continues to rise and heatwave events increase in
frequency, duration, and/or intensity, our key food and fuel cropping systems will likely face …

Multiple “omics” approaches have emerged as successful technologies for plant systems
over the last few decades. Advances in next-generation sequencing (NGS) have paved a …

Since whole-genome sequencing of many crops has been achieved, crop functional
genomics studies have stepped into the big-data and high-throughput era. However …

Plant diseases and pests endanger agriculture and forestry significantly around the world.
The implementation of non-contact, highly-efficient, and affordable methods for detecting …

Plant phenotyping has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …

Inability to efficiently implement high-throughput field phenotyping is increasingly perceived
as a key component that limits genetic gain in breeding programs. Field phenotyping must …

To tackle the increasing challenges of agricultural production, the complex agricultural
ecosystems need to be better understood. This can happen by means of modern digital …

Mankind has recognized the value of land plants as renewable sources of food, medicine,
and materials for millennia. Throughout human history, agricultural methods were …

With the development of molecular marker technology in the 1980s, the fate of plant
breeding has changed. Different types of molecular markers have been developed and …