The PlantIF framework consists of image and text feature extractors, semantic space encoders, and a multimodal feature fusion module. Image and text feature extractors are used to present visual and ...

Pests that spread as a result of climate change pose an increasing threat to fruit farming and viticulture in Germany. Fraunhofer researchers are working with partners to develop methods for the early ...

Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...

UIUC's platform, christened Stomata In-Sight, combines laser scanning confocal microscopy, gas exchange instruments and ...

Overview: AI-driven precision farming enables real-time crop monitoring using data from sensors, satellites, and drones to ...

Scientists say their Stomata In-Sight tool can observe plants "breathe," which could be used to bioengineer crops that ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

Quick diagnostic sprints deliver measurable results in weeks, not years, helping manufacturers prove AI value before ...

In this week’s edition of The Prototype, we look at building a virtual fusion power plant, a major quantum breakthrough, AI ...

The paper shows how artificial intelligence can transform wastewater treatment by making plants smarter, more ...