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A high-throughput AI method for leaf counting

A plant’s growth is determined by the number of leaves it produces at any given time; this number can guide farmers on optimal cultivation methods. Conventional leaf counting methods, however, rely on manual counting—a labor-intensive process usually associated with large uncertainties because of small sample sizes. Researchers have now utilized deep learning to develop a high-throughput leaf-tip counting method that provides highly accurate measurements using crop images from the field.
United States Xiaohai Zhan Ruibo Jiang Wei Guo Scott Chapman Chao Lu

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Snapchat's Facial Recognition Feature

Since its inception in 2011, Snapchat has been continuously innovating its features to keep up with the competition. One of its most popular features is the facial recognition feature, which allows users to add filters and lenses to their photos and videos. This feature has been available since 2015, and has been a staple of […]
Odes Ka Oblast Stanford University United States San Francisco Jessica Alba Ariana Grande

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