A research team has developed a novel high-throughput phenotyping platform, the Multispectral Automated Dynamic Imager (MADI), to monitor plant growth and stress in real time.

A research team demonstrates how advanced plant phenotyping and machine learning can quantify the hidden physiological signals of cold stress, transforming them into an accurate early-warning system.

A research team has reviewed recent advances in sustainable flame retardants derived from biomass sources—specifically starch, phytic acid, and chitosan—demonstrating their strong potential to replace conventional synthetic additives in polymeric materials.

A research team has reviewed the immunomodulatory potential of bovine colostrum (BC), highlighting its rich composition of bioactive compounds such as immunoglobulins, lactoferrin, and growth factors that enhance immune defense, reduce inflammation, and support tissue repair.