AI-based seagrass morphology measurement-Reference-Cited by-同舟云学术

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AI-based seagrass morphology measurement

Published:2024-10 Issue: Volume:369 Page:122246
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Halder Sajal^ORCID,Islam Nahina,Ray Biplob^ORCID,Andrews Elizabeth^ORCID,Hettiarachchi Pushpika,Jackson Emma

Publisher

Elsevier BV

Reference47 articles.

1. Spatio-temporal analy-sis of the environmental ranges and phenotypic traits of zostera muelleri subpopulations in central queensland;Andrews;Estuar. Coast Shelf Sci.,2023

2. Intra-specific variability and plasticity influence potential tree species distributions under climate change;Benito Garz on;Global Ecol. Biogeogr.,2011

3. Yolov4: Optimal Speed and Accuracy of Object Detection;Bochkovskiy,2020

4. A report card approach to describe temporal and spatial trends in parameters for coastal seagrass habitats;Carter;Sci. Rep.,2023

5. Plant growth information measurement based on object detection and image fusion using a smart farm robot;Cho;Comput. Electron. Agric.,2023

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