Abalone Computer Vision Paper Published in Frontiers in AI
May 21, 2026·
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1 min read
Edwin Solares
Our paper “Deep Learning Classification of Reproductive Tissue from Ultrasound: Sex Determination in Red Abalone” has been published in Frontiers in Artificial Intelligence.
This work demonstrates that convolutional neural networks can reliably classify biological reproductive tissue from ultrasound imagery, providing a non-invasive approach to sex determination in aquaculture species. The methodology reduces stress on animals and operational costs for producers.
Citation: Solares E et al. (2026) “Deep Learning Classification of Reproductive Tissue from Ultrasound: Sex Determination in Red Abalone.” Frontiers in AI 9:1794183. DOI: 10.3389/FRAI.2026.1794183
Authors
Edwin Solares
(he/him)
Lecturer in Computer Science & Data Science
I am a computational biologist and data scientist bridging artificial intelligence,
evolutionary genomics, and climate-resilient agriculture. My research leverages
cutting-edge machine learning and bioinformatics to address global food security
challenges in the face of rapid climate change. With publications in high-impact
journals including Nature Plants, PNAS, and Genome Research (h-index: 7), I develop
tools and methods that advance both computational science and real-world applications.