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The 2026 Shift Transforms How Botanists Identify Southeastern Poaceae and Cyperus

The 2026 botanical landscape in the Southeast is defined by a rare convergence: the University of Southern Mississippi's active graduate admissions cycle coincides with the release of the latest ...
IEEE

Deep Learning Approach for Palm Fruit Ripeness Classification Using MobileNet

Palm oil is a critical global commodity, with its quality largely determined by the ripeness of the palm fruit at harvest. However, improper harvesting practices often lead to issues such as ...
EurekAlert!

Deep learning reveals the 3D secrets of fruit tissue microstructure

Applied to apple and pear fruit, the model achieved very high accuracy, outperforming previous 2D approaches and traditional algorithms. The 3D structure of plant tissues underlies vital metabolic ...
Frontiers

Sustainable deep vision systems for date fruit quality assessment using attention-enhanced deep learning models

Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. In this study, we propose a novel ...
EurekAlert!

Machine vision + deep learning: how to achieve fast and accurate fruit grading?

In the context of a continually growing global population and rising food demand, fruit, as an important source of nutrition, requires quality grading and efficient processing, which are critical ...
The New York Times

Everyone Is Using A.I. for Everything. Is That Bad?

Either way, let’s not be in denial about it. Credit...Illustration by Christoph Niemann Supported by By Kevin Roose and Casey Newton Kevin Roose and Casey Newton are the hosts of The Times’s “Hard ...
IEEE

Dry Fruit Classification Using Deep Convolutional Neural Network Trained with Transfer Learning

Abstract: Dry fruits are an important part of daily life and are most consumable in all parts of the Indian continent. It is difficult to identify the quality of dry fruit with the naked eye.