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 ...

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A research team has now proposed an adaptive Bayesian sampling framework that significantly reduces data volume while ...

A research team has developed a novel way to detect disease resistance in loblolly pine (Pinus taeda L.) using near-infrared ...

A research team has unveiled a sustainable and highly efficient method to produce the FDA-approved acne drug clascoterone.

A research team has successfully engineered yeast cell factories to selectively secrete and produce vitamin A (retinoids), ...

The European Technology and Innovation Platform for Smart Networks for Energy Transition (ETIP SNET) will take part in Enlit Europe 2025, one of the ...

A research team has unveiled the molecular mechanism behind the fading of lilac (Syringa oblata) flowers, a long-standing mystery in ornamental plant ...