A research team has developed a multimodal machine vision model that can accurately predict the flowering, or anthesis, time ...

A research team developed a 3D deep learning–based panoptic segmentation model that combines semantic and instance ...

A research team has developed a neural network-based approach to automatically generate realistic 3D models of plant leaves—each labeled with precise ...

A research team has developed a deep learning-based framework that allows agricultural robots to identify new weed species ...

Equipped with RGB, hyperspectral, and depth sensors, the robot can autonomously navigate crop fields, capturing and analyzing ...