{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T18:13:04Z","timestamp":1774721584889,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,9,3]]},"DOI":"10.1145\/3748699.3749780","type":"proceedings-article","created":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T07:01:29Z","timestamp":1765350089000},"page":"107-112","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["AI-Enabled Smart Camera Traps for Wildlife Monitoring in African Ecosystems"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6056-6173","authenticated-orcid":false,"given":"Hadise","family":"Pishdast","sequence":"first","affiliation":[{"name":"Florida Atlantic University, Boca Raton, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7165-5499","authenticated-orcid":false,"given":"Hari","family":"Kalva","sequence":"additional","affiliation":[{"name":"Florida Atlantic University, Boca Raton, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8714-4012","authenticated-orcid":false,"given":"Donovan","family":"Tye","sequence":"additional","affiliation":[{"name":"Organization for Tropical Studies, Skukuza, South Africa"}]}],"member":"320","published-online":{"date-parts":[[2025,12,9]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"Kevin Abas Katia Obraczka and Leland Miller. 2018. Solar-powered wireless smart camera network: An IoT solution for outdoor video monitoring. Computer Communications 118 (2018) 217\u2013233.","DOI":"10.1016\/j.comcom.2018.01.007"},{"key":"e_1_3_3_1_3_2","unstructured":"Velibor Adzic Borijove Furht Hari Kalva Alena Krause Eimran Eimon and Ashan Perera. 2024. Systems and Methods for Object Boundary Merging Splitting Transformation and Background Processing in Video Packing. United States Patent and Trademark Office. U.S. Patent Application No. 23033824 published April 4 2024."},{"key":"e_1_3_3_1_4_2","unstructured":"Sowbaranika Balasubramaniam. 2024. Optimized Classification in Camera Trap Images: An Approach with Smart Camera Traps Machine Learning and Human Inference. Master\u2019s thesis. The Ohio State University."},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICKECS61492.2024.10616522"},{"key":"e_1_3_3_1_6_2","unstructured":"Sara Beery. 2023. The MegaDetector: Large-Scale Deployment of Computer Vision for Conservation and Biodiversity Monitoring. California Institute of Technology Pasadena CA USA (2023)."},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE63647.2025.10930026"},{"key":"e_1_3_3_1_8_2","unstructured":"Mona Esmaeili Morteza Rahimi Hadise Pishdast Dorsa Farahmandazad Matin Khajavi and Hadi\u00a0Jabbari Saray. 2024. Machine Learning-Assisted Intrusion Detection for Enhancing Internet of Things Security. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2410.01016 (2024)."},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/863955.863960"},{"key":"e_1_3_3_1_10_2","unstructured":"Bianca Ferreira. 2024. African Wildlife Dataset. https:\/\/www.kaggle.com\/datasets\/biancaferreira\/african-wildlife. Accessed: 2025-05-22."},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","unstructured":"Tomer Gadot \u0218tefan Istrate Hojin Kim Dan Morris Sara Beery Thomas Birch and Jorge Ahumada. 2024. To Crop or Not to Crop: Comparing Whole-Image and Cropped Classification on a Large Dataset of Camera Trap Images. IET Computer Vision 18 8 (2024) 1193\u20131208. 10.1049\/cvi2.12651","DOI":"10.1049\/cvi2.12651"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"crossref","unstructured":"Paul Glover-Kapfer Carolina\u00a0A Soto-Navarro and Oliver\u00a0R Wearn. 2019. Camera-trapping version 3.0: current constraints and future priorities for development. Remote Sensing in Ecology and Conservation 5 3 (2019) 209\u2013223.","DOI":"10.1002\/rse2.106"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/DCC62719.2025.00079"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"crossref","unstructured":"Margarita Mulero-P\u00e1zm\u00e1ny Sandro Hurtado Crist\u00f3bal Barba-Gonz\u00e1lez Mar\u00eda\u00a0Luisa Antequera-G\u00f3mez Francisco D\u00edaz-Ruiz Raimundo Real Ismael Navas-Delgado and Jos\u00e9\u00a0F Aldana-Montes. 2025. Addressing significant challenges for animal detection in camera trap images: a novel deep learning-based approach. Scientific Reports 15 1 (2025) 1\u201318.","DOI":"10.1038\/s41598-025-90249-z"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","unstructured":"Mohammad\u00a0Sadegh Norouzzadeh Anh Nguyen Margaret Kosmala Alexandra Swanson Meredith\u00a0S Palmer Craig Packer and Jeff Clune. 2018. Automatically identifying counting and describing wild animals in camera-trap images with deep learning. Proceedings of the National Academy of Sciences 115 25 (2018) E5716\u2013E5725.","DOI":"10.1073\/pnas.1719367115"},{"key":"e_1_3_3_1_16_2","unstructured":"Organization for Tropical Studies (OTS). [n. d.]. Organization for Tropical Studies. https:\/\/tropicalstudies.org\/. Accessed: 2025-05-24."},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"Angela\u00a0JL Pestell Anthony\u00a0R Rendall Robin\u00a0D Sinclair Euan\u00a0G Ritchie Duc\u00a0T Nguyen Dean\u00a0M Corva Anne\u00a0C Eichholtzer Abbas\u00a0Z Kouzani and Don\u00a0A Driscoll. 2025. Smart Camera Traps and Computer Vision Improve Detections of Small Fauna. Ecosphere 16 3 (2025) e70220.","DOI":"10.1002\/ecs2.70220"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"e_1_3_3_1_19_2","unstructured":"Senior\u00a0Design Showcase. 2024. Smart Wildlife Camera using AI\/ML. https:\/\/www.fau.edu\/engineering\/senior-design\/projects\/fall2024\/smart-wildlife-camera-using-ai-ml\/. Senior Design Project Florida Atlantic University Fall 2024. Sponsored by the Organization for Tropical Studies. Accessed: 2025-06-12."},{"key":"e_1_3_3_1_20_2","unstructured":"Senior\u00a0Design Showcase. 2025. IguanaGuard: Automatic Detection and Deterrence of Invasive Iguanas. https:\/\/www.fau.edu\/engineering\/senior-design\/projects\/spring2025\/iguana-guard\/. Senior Design Project Florida Atlantic University Spring 2025. Sponsored by Dr. Hari Kalva and Dr. Hanqi Zhuang. Accessed: 2025-06-12."},{"key":"e_1_3_3_1_21_2","first-page":"1","volume-title":"2024 International Conference on Integration of Emerging Technologies for the Digital World (ICIETDW)","author":"Srinithi K","year":"2024","unstructured":"K Srinithi, S Sushma, J Aron Nambikai\u00a0Fernando, S Srivarshini, BN Kalpana, and M Karthi. 2024. Wildlife Recognition in Trap Images: Assessing the Efficiency of YOLO Frameworks. In 2024 International Conference on Integration of Emerging Technologies for the Digital World (ICIETDW). IEEE, 1\u20136."},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"crossref","unstructured":"Alexandra Swanson Margaret Kosmala Chris Lintott Robert Simpson Arfon Smith and Craig Packer. 2015. Snapshot Serengeti high-frequency annotated camera trap images of 40 mammalian species in an African savanna. Scientific data 2 1 (2015) 1\u201314.","DOI":"10.1038\/sdata.2015.26"},{"key":"e_1_3_3_1_23_2","unstructured":"Mingxing Tan and QV Le. 2021. Efficientnetv2: Smaller models and faster training. arXiv 2021. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2104.00298 (2021)."},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1145\/3615893.3628760"},{"key":"e_1_3_3_1_25_2","unstructured":"Ultralytics. 2023. YOLOv8 Performance Metrics. https:\/\/docs.ultralytics.com\/models\/yolov8\/#performance-metrics. Accessed: 2025-06-16."},{"key":"e_1_3_3_1_26_2","unstructured":"Ultralytics. 2024. YOLOv11 - Ultralytics. https:\/\/github.com\/ultralytics\/ultralytics. Accessed: 2025-05-22."},{"key":"e_1_3_3_1_27_2","unstructured":"Ultralytics. 2024. YOLOv11 Performance Metrics. https:\/\/docs.ultralytics.com\/models\/yolo11\/#performance-metrics. Accessed: 2025-06-16."},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"crossref","unstructured":"Delia Velasco-Montero Jorge Fern\u00e1ndez-Berni Ricardo Carmona-Gal\u00e1n Ariadna Sanglas and Francisco Palomares. 2024. Reliable and efficient integration of AI into camera traps for smart wildlife monitoring based on continual learning. Ecological Informatics 83 (2024) 102815.","DOI":"10.1016\/j.ecoinf.2024.102815"},{"key":"e_1_3_3_1_29_2","unstructured":"YOLOV8. 2024. Iguana Dataset. https:\/\/universe.roboflow.com\/yolov8-8bfn8\/iguana-i4rax. https:\/\/universe.roboflow.com\/yolov8-8bfn8\/iguana-i4rax visited on 2025-05-25."},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"crossref","unstructured":"Stuart Young Johanna Rode-Margono and Rajan Amin. 2018. Software to facilitate and streamline camera trap data management: A review. Ecology and Evolution 8 19 (2018) 9947\u20139957.","DOI":"10.1002\/ece3.4464"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"crossref","unstructured":"I. Zualkernan. 2022. An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge. Computers 11 1 (2022) 13.","DOI":"10.3390\/computers11010013"}],"event":{"name":"GoodIT '25: International Conference on Information Technology for Social Good","location":"Antwerp Belgium","acronym":"GoodIT '25","sponsor":["SIGCAS ACM Special Interest Group on Computers and Society"]},"container-title":["Proceedings of the 2025 International Conference on Information Technology for Social Good"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3748699.3749780","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T11:01:08Z","timestamp":1765450868000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3748699.3749780"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,3]]},"references-count":30,"alternative-id":["10.1145\/3748699.3749780","10.1145\/3748699"],"URL":"https:\/\/doi.org\/10.1145\/3748699.3749780","relation":{},"subject":[],"published":{"date-parts":[[2025,9,3]]},"assertion":[{"value":"2025-12-09","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}