Researchers use laser scanning to generate 3D models of the above ground parts of the sugar beet plant from a crop field, providing a step forward in developing AI-assisted crop pipeline improvement A ...

This data descriptor presents novel, annotated 3D point cloud plant scans generated by a high-throughput phenotyping platform (LeasyScan, ICRISAT, India). It focuses on broad-leaf legume species ...

Allometric, metabolic, and biomechanical theories are the critical foundations for scientifically deciphering plant forms. Their concrete laws, however, are found to deviate for plenty of plant ...

3D point cloud technology revolutionizes non-invasive measurement of plant phenotypic parameters, offering vital data for agriculture and research. Current research focuses on overcoming the ...

The system enables pixel-level alignment between shape and spectral data, allowing detailed visualization of traits like chlorophyll distribution across plant surfaces. Traditional plant phenotyping ...

Designed to enable increased situational / contextual awareness with 3D plant models for inspection, maintenance, and engineering activities Ability to access and contextualize enterprise data helps ...

Stability AI, the startup behind the text-to-image AI model Stable Diffusion, thinks 3D model creation tools could be the next big thing in generative AI. At least, that’s the message it’s sending ...

The next breakthrough to take the AI world by storm might be 3D model generators. This week, OpenAI open sourced Point-E, a machine learning system that creates a 3D object given a text prompt.

A demonstration of how new technologies can be used in 21st century crop breeding comes from just published research that combines laser scanning and 3D printing to create a detailed 3D model of a ...