Toward efficient deep learning system for in-situ plankton image recognition

J Yue, Z Chen, Y Long, K Cheng, H Bi… - Frontiers in Marine …, 2023 - frontiersin.org
Plankton is critical for the structure and function of marine ecosystems. In the past three
decades, various underwater imaging systems have been developed to collect in-situ …

Robust detection of marine life with label-free image feature learning and probability calibration

T Schanz, KO Möller, S Rühl… - … Learning: Science and …, 2023 - iopscience.iop.org
Advances in in situ marine life imaging have significantly increased the size and quality of
available datasets, but automatic image analysis has not kept pace. Machine learning has …

[HTML][HTML] Developing a microscope image dataset for fungal spore classification in grapevine using deep learning

A Crespo-Michel, MA Alonso-Arévalo… - Journal of Agriculture …, 2023 - Elsevier
Grapevine trunk diseases (GTD) result from various fungi invading grapevine wood, leading
to a decline in quality and yield. Accurate identification of fungal species is vital for effective …

Zooplankton classification using hierarchical attention branch network

K Ito, K Miura, T Aoki, Y Otake, W Makino… - Asian Conference on …, 2023 - Springer
Plankton is recognized as one of the most important indicators of the health of aquatic
ecosystems and water quality. Surveys of plankton populations in oceans and lakes have …

Florid–a Nationwide Identification Service for Plants from Photos and Habitat Information

P Brun, L de Witte, MR Popp, D Zurell… - Available at SSRN … - papers.ssrn.com
Citizen science has become key to biodiversity monitoring but critically depends on accurate
quality control that is scalable and tailored to the focal region. We developed FlorID, a free-to …