Speeding up coral reef conservation with AI-aided automated image analysis

Global warming and recurrent mass bleaching of corals

Hughes, T. P., Kerry, J. T., Álvarez‐Noriega, M., Álvarez-Romero, J. G., Anderson, K. D., Baird, A. H., Babcock, R. C., Beger, M., Bellwood, D. R., Berkelmans, R., et al. (2017) · Nature · doi:10.1038/nature21707 · Cited by 3,430 · see citing works

Spatial and temporal patterns of mass bleaching of corals in the Anthropocene

Hughes, T. P., Anderson, K. D., Connolly, S. R., Heron, S. F., Kerry, J. T., Lough, J., Baird, A. H., Baum, J. K., Berumen, M. L., Bridge, T. C. L., et al. (2018) · Science · doi:10.1126/science.aan8048 · Cited by 2,213 · see citing works

Tracking the global footprint of fisheries

Kroodsma, D., Mayorga, J., Hochberg, T., Miller, N. A., Boerder, K., Ferretti, F., Wilson, A., Bergman, B., White, T. D., Block, B., et al. (2018) · Science · doi:10.1126/science.aao5646 · Cited by 975 · see citing works

Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data

Siddiqui, S. A., Salman, A., Malik, M. I., Faisal Shafait, B., Mian, A. S., Shortis, M. R., & Harvey, E. S. (2017) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsx109 · Cited by 253 · see citing works

Monitoring of Coral Reefs Using Artificial Intelligence: A Feasible and Cost-Effective Approach

González‐Rivero, M., Beijbom, O., Ramirez, A. R., Bryant, D. E. P., Ganase, A., González-Marrero, Y., Herrera-Reveles, A. T., Kennedy, E. V., Kim, C. J. S., Lopez‐Marcano, S., et al. (2020) · Remote Sensing · doi:10.3390/rs12030489 · Cited by 217 · see citing works

Large‐scale bleaching of corals on the Great Barrier Reef

Hughes, T. P., Kerry, J. T., & Simpson, T. (2017) · Ecology · doi:10.1002/ecy.2092 · Cited by 171 · see citing works

Correction for bias in visual transect censuses of coral reef fishes

Sale, P. F., & Sharp, B. (1983) · Coral Reefs · doi:10.1007/bf00304730 · Cited by 157 · see citing works

Responsible AI for conservation

Wearn, O. R., Freeman, R., & Jacoby, D. M. P. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0022-7 · Cited by 112 · see citing works

Cloud computing applications for biomedical science: A perspective

Navale, V., & Bourne, P. E. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006144 · Cited by 105 · see citing works

Using coarse‐scale species distribution data to predict extinction risk in plants

Darrah, S. E., Bland, L. M., Bachman, S. P., Clubbe, C. P., & Trias‐Blasi, A. (2017) · Diversity and Distributions · doi:10.1111/ddi.12532 · Cited by 65 · see citing works

Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review

Bibri, S. E., Krogstie, J., Kaboli, A., & Alahi, A. (2024) · Environmental Science and Ecotechnology · doi:10.1016/j.ese.2023.100330 · Cited by 536 · see citing works

Artificial intelligence, systemic risks, and sustainability

Galaz, V., Centeno, M. A., Callahan, P. W., Causevic, A., Patterson, T., Brass, I., Baum, S., Farber, D., Fischer, J., Garcia, D., et al. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101741 · Cited by 497 · see citing works

Deploying artificial intelligence for climate change adaptation

Leal Filho, W., Wall, T., Rui Mucova, S. A., Nagy, G. J., Balogun, A.-L., Luetz, J. M., Ng, A. W., Kovaleva, M., Safiul Azam, F. M., Alves, F., et al. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121662 · Cited by 266 · see citing works

Potential for Artificial Intelligence (AI) and Machine Learning (ML) Applications in Biodiversity Conservation, Managing Forests, and Related Services in India

Shivaprakash, K. N., Swami, N., Mysorekar, S., Arora, R., Gangadharan, A., Vohra, K., Jadeyegowda, M., & Kiesecker, J. M. (2022) · Sustainability · doi:10.3390/su14127154 · Cited by 194 · see citing works

Ethical artificial intelligence framework for a good AI society: principles, opportunities and perils

Paraman, P., & Anamalah, S. (2022) · Ai & Society · doi:10.1007/s00146-022-01458-3 · Cited by 50 · see citing works

Artificial intelligence and machine learning applications in forest management and biodiversity conservation

Raihan, A. (2023) · Natural Resources Conservation and Research · doi:10.24294/nrcr.v6i2.3825 · Cited by 69 · see citing works

Urban nature-based solutions planning for biodiversity outcomes: human, ecological, and artificial intelligence perspectives

Prodanović, V., Bach, P. M., & Stojković, M. (2024) · Urban Ecosystems · doi:10.1007/s11252-024-01558-6 · Cited by 41 · see citing works

An Automated Pipeline for Image Processing and Data Treatment to Track Activity Rhythms of Paragorgia arborea in Relation to Hydrographic Conditions

Zuazo, A., Grinyó, J., López-Vázquez, V., Rodríguez, E., Costa, C., Ortenzi, L., Flögel, S., Valencia, J., Marini, S., Zhang, G., et al. (2020) · Sensors · doi:10.3390/s20216281 · Cited by 21 · see citing works

Coral Reef Surveillance with Machine Learning: A Review of Datasets, Techniques, and Challenges

Chowdhury, A., Jahan, M., Kaisar, S., Khoda, M. E., Rajin, S. M. A. K., & Naha, R. K. (2024) · Electronics · doi:10.3390/electronics13245027 · Cited by 17 · see citing works

Machine Learning for the Fast and Accurate Assessment of Fitness in Coral Early Life History

Macadam, A., Nowell, C. J., & Quigley, K. M. (2021) · Remote Sensing · doi:10.3390/rs13163173 · Cited by 16 · see citing works

A stratified transect approach captures reef complexity with canopy-forming organisms

Smith, H. A., Boström‐Einarsson, L., & Bourne, D. G. (2022) · Coral Reefs · doi:10.1007/s00338-022-02262-7 · Cited by 13 · see citing works

Safe AI for coral reefs: Benchmarking out-of-distribution detection algorithms for coral reef image surveys

Wyatt, M., Hickey, S., Radford, B., González‐Rivero, M., Boutros, N., Callow, N., Ryan, N. M., Chennu, A., Bennamoun, M., & Gilmour, J. (2025) · Ecological Informatics · doi:10.1016/j.ecoinf.2025.103207 · Cited by 10 · see citing works

Identifying key factors for coral survival in reef restoration projects using deep learning

Morand, G., Dixon, S. P., & Berre, T. L. (2022) · Aquatic Conservation Marine and Freshwater Ecosystems · doi:10.1002/aqc.3878 · Cited by 10 · see citing works

MAFFN_YOLOv5: Multi-Scale Attention Feature Fusion Network on the YOLOv5 Model for the Health Detection of Coral-Reefs Using a Built-In Benchmark Dataset

Rajan, S. K. S., & Damodaran, N. (2023) · Analytics · doi:10.3390/analytics2010006 · Cited by 9 · see citing works

A comprehensive review of geomatics based coastal zone management in the Realm of Arabian Gulf, Saudi Arabia

Mushtaq, F., Alhems, L. M., Farooq, M., & Tiwari, S. P. (2025) · Discover Applied Sciences · doi:10.1007/s42452-025-06541-0 · Cited by 8 · see citing works

Study on the Progress in Climate-Change-Oriented Human Settlement Research

Yao, Q., An, N., Yang, E., & Song, Z. (2023) · Sustainability · doi:10.3390/su15075733 · Cited by 7 · see citing works

SCSFish2025: a large dataset from South China sea for coral reef fish identification

Wang, M., Xiao, W., Wang, Y., Jia, H., Gao, Y., Chen, Z., & Zheng, F. (2025) · Scientific Reports · doi:10.1038/s41598-025-14785-4 · Cited by 6 · see citing works

Large scale study of benthic communities in Eastern Indonesia’s reef systems

Razak, T. B., Ramadhani, B. A., Corni, S., Roelfsema, C., Markey, K., Bambic, B., Brauwer, M. D., Masdar, H., Purnama, R. C., Dumbrell, A. J., et al. (2021) · Regional Studies in Marine Science · doi:10.1016/j.rsma.2021.101731 · Cited by 6 · see citing works

Computer vision for infectious disease surveillance; Saprolegnia spp. in salmonids

Olsen, A. S., Rosin, P. L., Jones, C. B., Cable, J., & Perkins, S. E. (2025) · Ecological Informatics · doi:10.1016/j.ecoinf.2025.103567 · Cited by 4 · see citing works

Artificial intelligence in marine biology

Doğan, G., Vaidya, D., Bromhal, M., & Banday, N. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-24001-0.00014-2 · Cited by 4 · see citing works

Explainable AI in Practice: Practitioner Perspectives on AI for Social Good and User Engagement in the Global South

Okolo, C. T., & Lin, H. (2024) · ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO) · doi:10.1145/3689904.3694707 · Cited by 3 · see citing works

Coral-CRCA: A Color-Reference Chart Automation algorithm for coral bleaching visualization and severity assessment

Elmezain, M., Sultan, A., Rehman, M. U., Alshehhi, S., Shehhi, M. R. A., & Hussain, I. (2026) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2026.119384 · Cited by 2 · see citing works

Visualisation and Modeling of Marine Ecosystem Using AI - A Way Forward for Ocean Sustainability: A Case of Flic en Flac Region, Mauritius

Vincent, A. N., Sankaran, K. S., Bagurubumwe, U., & Laloo, N. (2023) · IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) · doi:10.1109/upcon59197.2023.10434714 · Cited by 2 · see citing works

Accuracy of ROV-based biodiversity surveys in remote, shallow, coral reef habitats

Lawson, K. N., Rubin, L., Sevakarua, W., Hughes, P. J., Holmes, B. L., Ford, A., & Drew, J. (2025) · Marine Ecology Progress Series · doi:10.3354/meps14908 · Cited by 1 · see citing works

Artificial Intelligence and Crowdsourced Social Media Data for Biodiversity Monitoring and Conservation

Fox, N., Minin, E. D., Carter, N., Tomkins, S., & Berkel, D. V. (2024) · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · doi:10.1007/978-3-031-59329-1_4 · Cited by 1 · see citing works

AI-Enhanced Language Design - ChatGPT: Bibliometric Analysis and Potential Uses in the Conservation and Restoration of Tropical Ecosystems

Palomino, S. E. R. (2025) · Revista Kawsaypacha Sociedad y Medio Ambiente · doi:10.18800/kawsaypacha.202501.d007 · Cited by 1 · see citing works

Sustainability & Comparative Impact Analysis of Coral reef bleaching in Indian context

Goswami, M., & Ali, H. R. (2021) · SPAST Abstracts

What is hidden under our pontoons? Abundance and distribution of filter feeders (bivalves and tunicates) in the port area revealed. Artificial intelligence: an interesting analysis tool?

Hamani, V., Brenon, I., Lebon, O., Demarcq, G., Burie, J.-C., & Murillo, L. (2024) · Frontiers in Marine Science · doi:10.3389/fmars.2024.1467371

Predicting Coral Reef Bleaching through Machine Learning

Maulidina, A. P., Mazel, K., & Manuaba, I. B. K. (2024) · IEEE International Conference on Communication, Networks and Satellite (COMNETSAT) · doi:10.1109/comnetsat63286.2024.10862345

Rapid assessment of cold-water coral habitats in public management maps: a rapid assessment of a fjord with no records of corals

Oskars, T. R., Vabø, Ø. S., Ipsen, R. M. S., & Emblemsvåg, M. (2025) · Biodiversity and Conservation · doi:10.1007/s10531-025-03070-5

976 Transformative AI applications in environmental microbiology: pioneering research and sustainable solutions

Pandya, V., & Upadhyay, K. H. (2025) · De Gruyter eBooks · doi:10.1515/9783111548777-006

Emerging Practices and Artificial Intelligence Innovations in Green Urbanism: Nature-Based Solutions, Climate Resilience, and Environmental Strategies

Bibri, S. E., & Mahmoud, I. H. (2026) · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · doi:10.1007/978-3-031-99036-6_1

From dive slates to digital imagery: an evaluation of the effect of coral reef assessment methods on benthic and substrate compositions and an alignment between methods

Hadi, T. A., Tibbetts, I. R., Giyanto, Adi, N. S., Mumby, P. J., & Blomberg, S. P. (2026) · Coral Reefs · doi:10.1007/s00338-026-02893-0

From Eco-Urbanism to Smarter Eco-Urbanism: AI, AIoT, and GenAI for Advancing Green Infrastructure, Environmental Strategies, Climate Resilience, and Community Engagement

Bibri, S. E. (2026) · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · doi:10.1007/978-3-032-01528-0_1

Monitoring of Coral Reefs Using Artificial Intelligence: A Feasible and Cost-Effective Approach

González‐Rivero, M., Beijbom, O., Ramirez, A. R., Bryant, D. E. P., Ganase, A., González-Marrero, Y., Herrera-Reveles, A. T., Kennedy, E. V., Kim, C. J. S., Lopez‐Marcano, S., et al. (2020) · Remote Sensing · doi:10.3390/rs12030489 · Cited by 217 · see citing works

Using Tourist Diver Images to Estimate Coral Cover and Bleaching Prevalence in a Remote Indian Ocean Coral Reef System

Mayfield, A. B., & Dempsey, A. C. (2025) · Oceans · doi:10.3390/oceans7010001 · Cited by 2 · see citing works

Coral-CRCA: A Color-Reference Chart Automation algorithm for coral bleaching visualization and severity assessment

Elmezain, M., Sultan, A., Rehman, M. U., Alshehhi, S., Shehhi, M. R. A., & Hussain, I. (2026) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2026.119384 · Cited by 2 · see citing works

Robotic Coral Reef Health Assessment Using Automated Image Analysis

Manderson, T., Li, J., Dudek, N. K., Meger, D., & Dudek, G. (2016) · Journal of Field Robotics · doi:10.1002/rob.21698 · Cited by 27 · see citing works

Deep convolutional neural networks to monitor coralligenous reefs: Operationalizing biodiversity and ecological assessment

Marre, G., Braga, C. D. A., Ienco, D., Luque, S. S., Holon, F., & Déter, J. (2020) · Ecological Informatics · doi:10.1016/j.ecoinf.2020.101110 · Cited by 33 · see citing works