Using a custom "camera-to-rice" platform combined with deep-learning methods for feature extraction, matching, segmentation, and denoising, the system ...

Weeds pose the most persistent and costly threat to crop production in Canada, driving widespread herbicide use and accelerating the rise of herbicide-resistant species ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new ...

Dennis] of [Made by Dennis] has been building a Voron 0 for fun and education, and since this apparently wasn’t enough of a ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.

In a new study published in The Crop Journal on November 7, researchers developed an AI model named TillerPET that enables ...

Why did humans evolve the eyes we have today? While scientists can't go back in time to study the environmental pressures ...

Crafting clear mission and vision statements is critical to shaping company identity, motivating employees and guiding decision-making. A mission statement defines the current scope and purpose of the ...

A research team has developed IPENS, an interactive and unsupervised 3D phenotyping tool that extracts grain-level point clouds without manual annotation, marking a major step forward in automated ...

After several changes in the Autopilot team’s leadership over the past few months, Tesla ended up hiring one of the leading AI and computer vision researchers this week. At the same time however, we ...