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 …
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
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 …
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 …
to a decline in quality and yield. Accurate identification of fungal species is vital for effective …
Zooplankton classification using hierarchical attention branch network
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 …
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
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 …
quality control that is scalable and tailored to the focal region. We developed FlorID, a free-to …