Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …

Advances in automated and high-throughput imaging technologies have resulted in a
deluge of high-resolution images and sensor data of plants. However, extracting patterns …

Digital twins are a core industry 4.0 technology enabling the virtual replication of real-world
objects, mimicking behaviours and states throughout their lifespan. While digital twins have …

Given the rapid development of plant genomic technologies, a lack of access to plant
phenoty** capabilities limits our ability to dissect the genetics of quantitative traits …

Plant stress phenoty** is essential to select stress-resistant varieties and develop better
stress-management strategies. Standardization of visual assessments and deployment of …

Point cloud segmentation is essential for studying the 3D spatial characteristics of plants.
Notably, the segmentation accuracy greatly impacts subsequent 3D plant phenotypes …

Today there is a rapid development taking place in phenoty** of plants using non-
destructive image based machine vision techniques. Machine vision based plant …

Using 3D sensing for plant phenoty** has risen within the last years. This review provides
an overview on 3D traits for the demands of plant phenoty** considering different …

Understanding the growth and development of individual plants is of central importance in
modern agriculture, crop breeding, and crop science. To this end, using 3D data for plant …

Current methods of in-house plant phenoty** are providing a powerful new tool for plant
biology studies. The self-constructed and commercial platforms established in the last few …