A research team has developed a hybrid evaluation method that integrates a radiative transfer model with multidimensional imaging data, offering more precise monitoring of rice canopy traits linked to water stress.

A research team has developed an advanced deep learning model, LKNet, to improve the accuracy of rice panicle counting in dense crop canopies.

A research team has developed a cost-effective method to measure wheat plant height in unprecedented detail using drone-based cross-circling oblique (CCO) imaging and 3D canopy modeling.

Scientists discovered deep-sea microbes using bio-electrical conductors to collaborate and consume methane, a potent greenhouse gas, before it escapes into the atmosphere. This is the first direct evidence of how these natural marine microbial partners [DJ1] transmit electricity between cells. Understanding how these electric microbial partnerships work could inspire new approaches to reduce greenhouse gas emissions.