{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T21:44:00Z","timestamp":1777931040750,"version":"3.51.4"},"reference-count":145,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T00:00:00Z","timestamp":1773964800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Forschung, Technologie und Raumfahrt","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Ecological Informatics"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1016\/j.ecoinf.2026.103733","type":"journal-article","created":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T17:25:55Z","timestamp":1774373155000},"page":"103733","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["A review of acoustic systems for insect monitoring: From recording technologies to species recognition performance"],"prefix":"10.1016","volume":"95","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-8819-0165","authenticated-orcid":false,"given":"B\u00e1rbara","family":"Fengler","sequence":"first","affiliation":[]},{"given":"Chingiz","family":"Seyidbayli","sequence":"additional","affiliation":[]},{"given":"Andreas","family":"Reinhardt","sequence":"additional","affiliation":[]},{"given":"Mina","family":"Anders","sequence":"additional","affiliation":[]},{"given":"Catrin","family":"Westphal","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.ecoinf.2026.103733_b1","series-title":"Adafruit I2S MEMS microphone breakout","author":"Adafruit","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b2","series-title":"Electret Microphone Amplifier - MAX4466","author":"Adafruit","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b3","doi-asserted-by":"crossref","DOI":"10.1016\/j.micpro.2023.104946","article-title":"A high performance-oriented AI-enabled IoT-based pest detection system using sound analytics in large agricultural field","volume":"103","author":"Ali","year":"2023","journal-title":"Microprocess. Microsyst."},{"issue":"14","key":"10.1016\/j.ecoinf.2026.103733_b4","doi-asserted-by":"crossref","first-page":"6262","DOI":"10.3390\/s23146262","article-title":"The design and optimization of an acoustic and ambient sensing AIoT platform for agricultural applications","volume":"23","author":"Alzuhair","year":"2023","journal-title":"Sensors"},{"key":"10.1016\/j.ecoinf.2026.103733_b5","series-title":"AT9905","author":"Audio Technica","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b6","series-title":"CM16\/CMPA","author":"Avisoft-Bioacoustics","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b7","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2024.109297","article-title":"Application of a multi-layer convolutional neural network model to classify major insect pests in stored rice detected by an acoustic device","volume":"225","author":"Balingbing","year":"2024","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.ecoinf.2026.103733_b8","doi-asserted-by":"crossref","DOI":"10.1016\/j.jspr.2020.101667","article-title":"Assessment of bruchids density through bioacoustic detection and artificial neural network (ANN) in bulk stored chickpea and green gram","volume":"88","author":"Banga","year":"2020","journal-title":"J. Stored Prod. Res."},{"key":"10.1016\/j.ecoinf.2026.103733_b9","series-title":"ECM8000","author":"Behringer","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b10","article-title":"Temporal evolution of the Mediterranean fin whale song","volume":"12","author":"Best","year":"2022","journal-title":"Sci. Rep."},{"issue":"1","key":"10.1016\/j.ecoinf.2026.103733_b11","doi-asserted-by":"crossref","DOI":"10.1515\/aoa-2017-0007","article-title":"Detection of wood boring insects\u2019 larvae based on the acoustic signal analysis and the artificial intelligence algorithm","volume":"42","author":"Bilski","year":"2017","journal-title":"Arch. Acoust."},{"issue":"1","key":"10.1016\/j.ecoinf.2026.103733_b12","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1038\/s41597-024-03301-4","article-title":"InsectSound1000 an insect sound dataset for deep learning based acoustic insect recognition","volume":"11","author":"Branding","year":"2024","journal-title":"Sci. Data"},{"issue":"2","key":"10.1016\/j.ecoinf.2026.103733_b13","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1007\/s13218-023-00812-x","article-title":"Towards noise robust acoustic insect detection: from the lab to the greenhouse","volume":"37","author":"Branding","year":"2023","journal-title":"KI-K\u00fcnstliche Intell."},{"key":"10.1016\/j.ecoinf.2026.103733_b14","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"10.1016\/j.ecoinf.2026.103733_b15","series-title":"Impact Assessment of EC 2030 Green Deal Targets for Sustainable Crop Production","author":"Bremmer","year":"2021"},{"key":"10.1016\/j.ecoinf.2026.103733_b16","series-title":"Low-noise microphone TYPE 4599","author":"Br\u00fcel & Kjaer","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b17","series-title":"Piezoelectric CCLD TYPE 4507-B-005","author":"Br\u00fcel & Kjaer","year":"2025"},{"issue":"5","key":"10.1016\/j.ecoinf.2026.103733_b18","first-page":"1","article-title":"Emergency department management of mosquito-borne illness: malaria, dengue, and West Nile virus","volume":"16","author":"Caraballo","year":"2014","journal-title":"Emerg. Med. Pr."},{"key":"10.1016\/j.ecoinf.2026.103733_b19","series-title":"Catalogue of Life","author":"Catalogue of Life","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b20","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1023\/A:1012450327387","article-title":"Choosing multiple parameters for support vector machines","volume":"46","author":"Chapelle","year":"2002","journal-title":"Mach. Learn."},{"key":"10.1016\/j.ecoinf.2026.103733_b21","doi-asserted-by":"crossref","unstructured":"Chen, T., Guestrin, C., 2016. Xgboost: A scalable tree boosting system. In: 22nd ACM Sigkdd International Conference on Knowledge Discovery and Data Mining. pp. 785\u2013794.","DOI":"10.1145\/2939672.2939785"},{"issue":"5","key":"10.1016\/j.ecoinf.2026.103733_b22","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1007\/s10905-014-9454-4","article-title":"Flying insect classification with inexpensive sensors","volume":"27","author":"Chen","year":"2014","journal-title":"J. Insect Behav."},{"issue":"1","key":"10.1016\/j.ecoinf.2026.103733_b23","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1109\/JRPROC.1949.232969","article-title":"Communication in the presence of noise","volume":"37","author":"Claude","year":"1949","journal-title":"Proc. the IRE"},{"key":"10.1016\/j.ecoinf.2026.103733_b24","series-title":"eBird,","author":"Cornell Lab","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b25","series-title":"Swift","author":"Cornell University","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b26","series-title":"Fernand deroussen: Private nature sound collection","author":"Deroussen","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b27","series-title":"IEEE International Conference on Acoustics, Speech and Signal Processing","first-page":"6964","article-title":"End-to-end learning for music audio","author":"Dieleman","year":"2014"},{"key":"10.1016\/j.ecoinf.2026.103733_b28","article-title":"From machine learning to deep learning in agriculture\u2013the quantitative review of trends","volume":"vol. 614","author":"Dokic","year":"2020"},{"key":"10.1016\/j.ecoinf.2026.103733_b29","series-title":"3rd IEEE International Conference on Image, Vision and Computing","first-page":"855","article-title":"Insect sound recognition based on convolutional neural network","author":"Dong","year":"2018"},{"key":"10.1016\/j.ecoinf.2026.103733_b30","series-title":"Neural Networks in a Softcomputing Framework","author":"Du","year":"2006"},{"issue":"2","key":"10.1016\/j.ecoinf.2026.103733_b31","first-page":"65","article-title":"What is animal bioacoustics","volume":"13","author":"Erbe","year":"2017","journal-title":"Acoust. Today"},{"key":"10.1016\/j.ecoinf.2026.103733_b32","series-title":"EU Biodiversity Strategy for 2030: Bringing Nature Back into Our Lives","author":"European Commission","year":"2020"},{"key":"10.1016\/j.ecoinf.2026.103733_b33","series-title":"InsectSet32: Dataset for automatic acoustic identification of insects (Orthoptera and Cicadidae)","author":"Fai\u00df","year":"2022"},{"key":"10.1016\/j.ecoinf.2026.103733_b34","series-title":"InsectSet47 & InsectSet66: Expanded datasets for automatic acoustic identification of insects (Orthoptera and Cicadidae)","author":"Fai\u00df","year":"2023"},{"key":"10.1016\/j.ecoinf.2026.103733_b35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pcbi.1011541","article-title":"Adaptive representations of sound for automatic insect recognition","volume":"19","author":"Fai\u00df","year":"2023","journal-title":"PLoS Comput. Biol."},{"key":"10.1016\/j.ecoinf.2026.103733_b36","series-title":"26th European Signal Processing Conference","first-page":"2410","article-title":"Mosquito wingbeat analysis and classification using deep learning","author":"Fanioudakis","year":"2018"},{"key":"10.1016\/j.ecoinf.2026.103733_b37","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2020.104152","article-title":"Detecting Aedes aegypti mosquitoes through audio classification with convolutional neural networks","volume":"129","author":"Fernandes","year":"2021","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.ecoinf.2026.103733_b38","doi-asserted-by":"crossref","DOI":"10.3389\/fpls.2023.1081050","article-title":"Automatic acoustic recognition of pollinating bee species can be highly improved by deep learning models accompanied by pre-training and strong data augmentation","volume":"14","author":"Ferreira","year":"2023","journal-title":"Front. Plant Sci."},{"key":"10.1016\/j.ecoinf.2026.103733_b39","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2022.155883","article-title":"Using acoustics and artificial intelligence to monitor pollination by insects and tree use by woodpeckers","volume":"838","author":"Folliot","year":"2022","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.ecoinf.2026.103733_b40","series-title":"BAR-LT","author":"Frontier Labs","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b41","series-title":"Insect Species Sound Classification Using Deep Learning with Small Data","author":"Gandini","year":"2022"},{"key":"10.1016\/j.ecoinf.2026.103733_b42","series-title":"GBIF: Global biodiversity information facility","author":"GBIF Secretariat","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b43","series-title":"Introduction to Audio Analysis: A MATLAB\u00ae Approach","author":"Giannakopoulos","year":"2014"},{"key":"10.1016\/j.ecoinf.2026.103733_b44","series-title":"SEK 70 million to benefit pollinating insects","author":"Government of Sweden Press release","year":"2019"},{"issue":"5\u20136","key":"10.1016\/j.ecoinf.2026.103733_b45","doi-asserted-by":"crossref","first-page":"602","DOI":"10.1016\/j.neunet.2005.06.042","article-title":"Framewise phoneme classification with bidirectional LSTM and other neural network architectures","volume":"18","author":"Graves","year":"2005","journal-title":"Neural Netw."},{"issue":"6","key":"10.1016\/j.ecoinf.2026.103733_b46","doi-asserted-by":"crossref","first-page":"1500","DOI":"10.1111\/2041-210X.14103","article-title":"Acoustic animal identification using unsupervised learning","volume":"14","author":"Guerrero","year":"2023","journal-title":"Methods Ecol. Evol."},{"issue":"10","key":"10.1016\/j.ecoinf.2026.103733_b47","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0185809","article-title":"More than 75 percent decline over 27 years in total flying insect biomass in protected areas","volume":"12","author":"Hallmann","year":"2017","journal-title":"PLOS ONE"},{"key":"10.1016\/j.ecoinf.2026.103733_b48","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecolind.2022.109437","article-title":"Assessing the effect of human activities on biophony in urban forests using an automated acoustic scene classification model","volume":"144","author":"Hao","year":"2022","journal-title":"Ecol. Indic."},{"issue":"7","key":"10.1016\/j.ecoinf.2026.103733_b49","doi-asserted-by":"crossref","first-page":"3116","DOI":"10.3390\/app14073116","article-title":"Enhancing insect sound classification using dual-tower network: A fusion of temporal and spectral feature perception","volume":"14","author":"He","year":"2024","journal-title":"Appl. Sci."},{"issue":"6","key":"10.1016\/j.ecoinf.2026.103733_b50","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1250\/ast.42.354","article-title":"Classification of singing insect sounds with convolutional neural network","volume":"42","author":"Hibino","year":"2021","journal-title":"Acoust. Sci. Technol."},{"key":"10.1016\/j.ecoinf.2026.103733_b51","series-title":"Applied Logistic Regression","author":"Hosmer","year":"2013"},{"key":"10.1016\/j.ecoinf.2026.103733_b52","series-title":"Northeast Section Conference","article-title":"Automated call detection in big cats: A non-invasive bioacoustic tool for conservation","author":"Huq","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b53","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2021.101236","article-title":"BirdNET: A deep learning solution for avian diversity monitoring","volume":"61","author":"Kahl","year":"2021","journal-title":"Ecol. Informatics"},{"issue":"3","key":"10.1016\/j.ecoinf.2026.103733_b54","article-title":"Intelligent IoT-aided early sound detection of red palm weevils","volume":"69","author":"Karar","year":"2021","journal-title":"Comput. Mater. Contin."},{"issue":"1","key":"10.1016\/j.ecoinf.2026.103733_b55","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1007\/s13592-018-0619-6","article-title":"Automated classification of bees and hornet using acoustic analysis of their flight sounds","volume":"50","author":"Kawakita","year":"2019","journal-title":"Apidologie"},{"key":"10.1016\/j.ecoinf.2026.103733_b56","article-title":"Lightgbm: A highly efficient gradient boosting decision tree","volume":"30","author":"Ke","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.ecoinf.2026.103733_b57","article-title":"Acoustic classification of mosquitoes using convolutional neural network","author":"Kim","year":"2021","journal-title":"Int. J. Interact. Multimed. Artif. Intell. (IJIMAI)"},{"issue":"1","key":"10.1016\/j.ecoinf.2026.103733_b58","article-title":"Acoustic scene classification and visualization of beehive sounds using machine learning algorithms and grad-CAM","volume":"2021","author":"Kim","year":"2021","journal-title":"Math. Probl. Eng."},{"key":"10.1016\/j.ecoinf.2026.103733_b59","series-title":"IEEE International Conference on Acoustics, Speech and Signal Processing","first-page":"916","article-title":"Humbug zooniverse: A crowd-sourced acoustic mosquito dataset","author":"Kiskin","year":"2020"},{"key":"10.1016\/j.ecoinf.2026.103733_b60","series-title":"Mosquito detection with neural networks: the buzz of deep learning","author":"Kiskin","year":"2017"},{"key":"10.1016\/j.ecoinf.2026.103733_b61","series-title":"40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","first-page":"376","article-title":"Convolutional feature vectors and support vector machine for animal sound classification","author":"Ko","year":"2018"},{"key":"10.1016\/j.ecoinf.2026.103733_b62","doi-asserted-by":"crossref","first-page":"2880","DOI":"10.1109\/TASLP.2020.3030497","article-title":"Panns: Large-scale pretrained audio neural networks for audio pattern recognition","volume":"28","author":"Kong","year":"2020","journal-title":"IEEE\/ACM Trans. Audio, Speech, Lang. Process."},{"issue":"9","key":"10.1016\/j.ecoinf.2026.103733_b63","doi-asserted-by":"crossref","first-page":"1573","DOI":"10.3390\/app8091573","article-title":"Toward audio beehive monitoring: Deep learning vs. standard machine learning in classifying beehive audio samples","volume":"8","author":"Kulyukin","year":"2018","journal-title":"Appl. Sci."},{"key":"10.1016\/j.ecoinf.2026.103733_b64","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1007\/s42690-024-01406-2","article-title":"Automatic synthesis of insects bioacoustics using machine learning: a systematic review","volume":"45","author":"Kyalo","year":"2025","journal-title":"Int. J. Trop. Insect Sci."},{"issue":"7","key":"10.1016\/j.ecoinf.2026.103733_b65","doi-asserted-by":"crossref","first-page":"1635","DOI":"10.1016\/j.biocon.2010.03.025","article-title":"The emerging significance of bioacoustics in animal species conservation","volume":"143","author":"Laiolo","year":"2010","journal-title":"Biol. Cons."},{"key":"10.1016\/j.ecoinf.2026.103733_b66","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecolind.2021.108142","article-title":"Monitoring the phenology of the wood frog breeding season using bioacoustic methods","volume":"131","author":"Larsen","year":"2021","journal-title":"Ecol. Indic."},{"issue":"7553","key":"10.1016\/j.ecoinf.2026.103733_b67","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"LeCun","year":"2015","journal-title":"Nature"},{"issue":"12","key":"10.1016\/j.ecoinf.2026.103733_b68","doi-asserted-by":"crossref","first-page":"6999","DOI":"10.1109\/TNNLS.2021.3084827","article-title":"A survey of convolutional neural networks: Analysis, applications, and prospects","volume":"33","author":"Li","year":"2022","journal-title":"IEEE Trans. Neural Networks Learn. Syst."},{"issue":"10","key":"10.1016\/j.ecoinf.2026.103733_b69","doi-asserted-by":"crossref","first-page":"3861","DOI":"10.3390\/s22103861","article-title":"Acoustic denoising using artificial intelligence for wood-boring pests semanotus bifasciatus larvae early monitoring","volume":"22","author":"Liu","year":"2022","journal-title":"Sensors"},{"key":"10.1016\/j.ecoinf.2026.103733_b70","doi-asserted-by":"crossref","DOI":"10.1016\/j.biocon.2023.110075","article-title":"The need for a (non-destructive) method revolution in entomology","volume":"282","author":"L\u00f6vei","year":"2023","journal-title":"Biol. Cons."},{"issue":"1904","key":"10.1016\/j.ecoinf.2026.103733_b71","doi-asserted-by":"crossref","DOI":"10.1098\/rstb.2023.0444","article-title":"Extensive data engineering to the rescue: building a multi-species katydid detector from unbalanced, atypical training datasets","volume":"379","author":"Madhusudhana","year":"2024","journal-title":"Philos. Trans. R. Soc. B"},{"key":"10.1016\/j.ecoinf.2026.103733_b72","series-title":"Bug Bytes sound library: stored product insect pest sounds","author":"Mankin","year":"2019"},{"issue":"3","key":"10.1016\/j.ecoinf.2026.103733_b73","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1145\/321075.321084","article-title":"Automatic indexing: an experimental inquiry","volume":"8","author":"Maron","year":"1961","journal-title":"J. ACM"},{"key":"10.1016\/j.ecoinf.2026.103733_b74","series-title":"Insect Singers: Song recordings and information on acoustically signaling insects","author":"Marshall","year":"2024"},{"key":"10.1016\/j.ecoinf.2026.103733_b75","series-title":"Good Practice Guidelines for Long-Term Ecoacoustic Monitoring in the UK","author":"Metcalf","year":"2023"},{"key":"10.1016\/j.ecoinf.2026.103733_b76","series-title":"Machine Learning","author":"Mitchell","year":"1997"},{"key":"10.1016\/j.ecoinf.2026.103733_b77","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2021.101242","article-title":"Long-term deep learning-facilitated environmental acoustic monitoring in the Capital Region of New York State","volume":"61","author":"Morgan","year":"2021","journal-title":"Ecol. Informatics"},{"key":"10.1016\/j.ecoinf.2026.103733_b78","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.27854","article-title":"Using mobile phones as acoustic sensors for high-throughput mosquito surveillance","volume":"6","author":"Mukundarajan","year":"2017","journal-title":"eLife"},{"issue":"1","key":"10.1016\/j.ecoinf.2026.103733_b79","doi-asserted-by":"crossref","first-page":"6191","DOI":"10.1038\/s41467-023-41693-w","article-title":"Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests","volume":"14","author":"M\u00fcller","year":"2023","journal-title":"Nat. Commun."},{"key":"10.1016\/j.ecoinf.2026.103733_b80","series-title":"Tierstimmenarchiv: Animal sound archive","author":"Museum f\u00fcr Naturkunde Berlin","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b81","series-title":"Sonoth\u00e8que du Mus\u00e9um national d\u2019Histoire naturelle","author":"Mus\u00e9um national d\u2019Histoire naturelle","year":"2025"},{"issue":"21","key":"10.1016\/j.ecoinf.2026.103733_b82","doi-asserted-by":"crossref","first-page":"8361","DOI":"10.3390\/s22218361","article-title":"A review of automated bioacoustics and general acoustics classification research","volume":"22","author":"Mutanu","year":"2022","journal-title":"Sensors"},{"key":"10.1016\/j.ecoinf.2026.103733_b83","series-title":"Korea wild animal sound dictionary","author":"National Institute of Biological Resources","year":"2016"},{"key":"10.1016\/j.ecoinf.2026.103733_b84","doi-asserted-by":"crossref","DOI":"10.1016\/j.heliyon.2023.e20275","article-title":"Systematic review of machine learning methods applied to ecoacoustics and soundscape monitoring","volume":"9","author":"Nieto-Mora","year":"2023","journal-title":"Heliyon"},{"issue":"19","key":"10.1016\/j.ecoinf.2026.103733_b85","doi-asserted-by":"crossref","first-page":"4097","DOI":"10.3390\/app9194097","article-title":"Acoustic classification of singing insects based on MFCC\/LFCC fusion","volume":"9","author":"Noda","year":"2019","journal-title":"Appl. Sci."},{"key":"10.1016\/j.ecoinf.2026.103733_b86","series-title":"Major boost for European orthoptera","author":"Od\u00e9","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b87","series-title":"AudioMoth","author":"Open Acoustics Devices","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b88","series-title":"Open source beehives project","author":"OSBH","year":"2020"},{"key":"10.1016\/j.ecoinf.2026.103733_b89","article-title":"The PRISMA 2020 statement: an updated guideline for reporting systematic reviews","volume":"372","author":"Page","year":"2021","journal-title":"BMJ"},{"issue":"2","key":"10.1016\/j.ecoinf.2026.103733_b90","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1109\/TAFE.2024.3436470","article-title":"Insect pest trap development and DL-based pest detection: A comprehensive review","volume":"2","author":"Passias","year":"2024","journal-title":"IEEE Trans. AgriFood Electron."},{"issue":"9","key":"10.1016\/j.ecoinf.2026.103733_b91","doi-asserted-by":"crossref","first-page":"5873","DOI":"10.1007\/s00500-022-07596-6","article-title":"Investigation on new Mel frequency cepstral coefficients features and hyper-parameters tuning technique for bee sound recognition","volume":"27","author":"Phan","year":"2023","journal-title":"Soft Comput."},{"key":"10.1016\/j.ecoinf.2026.103733_b92","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1007\/s40857-017-0095-6","article-title":"Automated insect detection using acoustic features based on sound generated from insect activities","volume":"45","author":"Phung","year":"2017","journal-title":"Acoust. Aust."},{"key":"10.1016\/j.ecoinf.2026.103733_b93","series-title":"23rd ACM International Conference on Multimedia","first-page":"1015","article-title":"ESC: Dataset for environmental sound classification","author":"Piczak","year":"2015"},{"issue":"15","key":"10.1016\/j.ecoinf.2026.103733_b94","doi-asserted-by":"crossref","first-page":"6053","DOI":"10.1109\/JSEN.2016.2574762","article-title":"Large aperture optoelectronic devices to record and time-stamp insects\u2019 wingbeats","volume":"16","author":"Potamitis","year":"2016","journal-title":"IEEE Sensors J."},{"key":"10.1016\/j.ecoinf.2026.103733_b95","series-title":"EM172 Specification","author":"Primo","year":"2009"},{"issue":"3","key":"10.1016\/j.ecoinf.2026.103733_b96","doi-asserted-by":"crossref","first-page":"553","DOI":"10.3390\/s19030553","article-title":"Deploying acoustic detection algorithms on low-cost, open-source acoustic sensors for environmental monitoring","volume":"19","author":"Prince","year":"2019","journal-title":"Sensors"},{"key":"10.1016\/j.ecoinf.2026.103733_b97","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1023\/A:1022643204877","article-title":"Induction of decision trees","volume":"1","author":"Quinlan","year":"1986","journal-title":"Mach. Learn."},{"key":"10.1016\/j.ecoinf.2026.103733_b98","unstructured":"Rakhshan, D., Bublitz, L., Lueken, J., Seyidbayli, C., Reinhardt, A., Kulau, U., 2024. Potentials and Challenges of Ecoacoustics for Environmental Monitoring: A Small Field Study. In: Proceedings of the 21st GI\/ITG KuVS Fachgespr\u00e4ch \u201cSensornetze\u201d. FGSN."},{"key":"10.1016\/j.ecoinf.2026.103733_b99","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pcbi.1009426","article-title":"Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds","volume":"17","author":"Ribeiro","year":"2021","journal-title":"PLoS Comput. Biol."},{"issue":"1","key":"10.1016\/j.ecoinf.2026.103733_b100","doi-asserted-by":"crossref","first-page":"271","DOI":"10.3390\/smartcities4010017","article-title":"TreeVibes: Modern tools for global monitoring of trees for borers","volume":"4","author":"Rigakis","year":"2021","journal-title":"Smart Cities"},{"issue":"1","key":"10.1016\/j.ecoinf.2026.103733_b101","doi-asserted-by":"crossref","first-page":"460","DOI":"10.3390\/s23010460","article-title":"Comparative study of machine learning models for bee colony acoustic pattern classification on low computational resources","volume":"23","author":"Robles-Guerrero","year":"2023","journal-title":"Sensors"},{"key":"10.1016\/j.ecoinf.2026.103733_b102","series-title":"VideoMic Me","author":"R\u00f8de","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b103","series-title":"R-05","author":"Rolan","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b104","doi-asserted-by":"crossref","unstructured":"Salamon, J., Jacoby, C., Bello, J.P., 2014. A dataset and taxonomy for urban sound research. In: 22nd ACM International Conference on Multimedia. pp. 1041\u20131044.","DOI":"10.1145\/2647868.2655045"},{"key":"10.1016\/j.ecoinf.2026.103733_b105","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.biocon.2019.01.020","article-title":"Worldwide decline of the entomofauna: A review of its drivers","volume":"232","author":"S\u00e1nchez-Bayo","year":"2019","journal-title":"Biol. Cons."},{"key":"10.1016\/j.ecoinf.2026.103733_b106","series-title":"IEEE Region 10 Conference","first-page":"2542","article-title":"Insect detection and monitoring in stored grains using MFCCs and artificial neural network","author":"Santiago","year":"2017"},{"key":"10.1016\/j.ecoinf.2026.103733_b107","series-title":"\u20ac100 million German insect protection plan will protect habitats, restrict weed killers","author":"Science Magazine news article","year":"2019"},{"key":"10.1016\/j.ecoinf.2026.103733_b108","series-title":"International Conference on Networking and Network Applications","first-page":"1","article-title":"Bioacoustics monitoring of wildlife using artificial intelligence: A methodological literature review","author":"Sharma","year":"2022"},{"issue":"9","key":"10.1016\/j.ecoinf.2026.103733_b109","doi-asserted-by":"crossref","first-page":"7128","DOI":"10.3390\/su15097128","article-title":"A methodological literature review of acoustic wildlife monitoring using artificial intelligence tools and techniques","volume":"15","author":"Sharma","year":"2023","journal-title":"Sustainability"},{"issue":"1","key":"10.1016\/j.ecoinf.2026.103733_b110","doi-asserted-by":"crossref","first-page":"301","DOI":"10.32604\/jai.2024.054314","article-title":"A comprehensive overview and comparative analysis on deep learning models","volume":"6","author":"Shiri","year":"2024","journal-title":"J. Artif. Intell."},{"key":"10.1016\/j.ecoinf.2026.103733_b111","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.115484","article-title":"Acoustic recognition of noise-like environmental sounds by using artificial neural network","volume":"184","author":"Simonovi\u0107","year":"2021","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.ecoinf.2026.103733_b112","series-title":"Digitaler Voice Recorder der UX-Serie UX570","author":"Sony","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b113","series-title":"Soundsnap: Premium sounds and sound effects","author":"Soundsnap","year":"2025"},{"issue":"3","key":"10.1016\/j.ecoinf.2026.103733_b114","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1007\/s12304-015-9248-x","article-title":"Ecoacoustics: the ecological investigation and interpretation of environmental sound","volume":"8","author":"Sueur","year":"2015","journal-title":"Biosemiotics"},{"key":"10.1016\/j.ecoinf.2026.103733_b115","series-title":"CZN-15E electret condenser microphone","author":"Sunrom","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b116","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0310121","article-title":"MosquitoSong+: A noise-robust deep learning model for mosquito classification from wingbeat sounds","volume":"19","author":"Supratak","year":"2024","journal-title":"PLOS ONE"},{"key":"10.1016\/j.ecoinf.2026.103733_b117","series-title":"TASCAM DR-07X","author":"TASCAM","year":"2025"},{"issue":"1","key":"10.1016\/j.ecoinf.2026.103733_b118","doi-asserted-by":"crossref","first-page":"14125","DOI":"10.1038\/s41598-021-93656-0","article-title":"A hybrid CNN-LSTM model for pre-miRNA classification","volume":"11","author":"Tasdelen","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.ecoinf.2026.103733_b119","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2023.108079","article-title":"Recognizing sounds of Red Palm Weevils (RPW) based on the VGGish model: Transfer learning methodology","volume":"212","author":"Torky","year":"2023","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.ecoinf.2026.103733_b120","series-title":"IEEE International Conference on Acoustics, Speech and Signal Processing","first-page":"5200","article-title":"Adieu features? end-to-end speech emotion recognition using a deep convolutional recurrent network","author":"Trigeorgis","year":"2016"},{"key":"10.1016\/j.ecoinf.2026.103733_b121","series-title":"ITU Kaleidoscope: Connecting Physical and Virtual Worlds","first-page":"1","article-title":"Identification of deadliest mosquitoes using wing beats sound classification on tiny embedded system using machine learning and edge impulse platform","author":"Trivedi","year":"2021"},{"key":"10.1016\/j.ecoinf.2026.103733_b122","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2023.102274","article-title":"A deep learning-based approach for bee sound identification","volume":"78","author":"Truong","year":"2023","journal-title":"Ecol. Informatics"},{"key":"10.1016\/j.ecoinf.2026.103733_b123","series-title":"The Humbug I project","author":"University of Oxford","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b124","series-title":"Perch 2.0: The bittern lesson for bioacoustics","author":"van Merri\u00ebnboer","year":"2025"},{"issue":"1","key":"10.1016\/j.ecoinf.2026.103733_b125","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1146\/annurev-ento-011019-025151","article-title":"Insect declines in the Anthropocene","volume":"65","author":"Wagner","year":"2020","journal-title":"Annu. Rev. Entomol."},{"issue":"2","key":"10.1016\/j.ecoinf.2026.103733_b126","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.2023989118","article-title":"Insect decline in the Anthropocene: Death by a thousand cuts","volume":"118","author":"Wagner","year":"2021","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.ecoinf.2026.103733_b127","series-title":"Singing insects of North America (SINA) collection. University of Florida","author":"Walker","year":"2025"},{"issue":"5","key":"10.1016\/j.ecoinf.2026.103733_b128","doi-asserted-by":"crossref","first-page":"1592","DOI":"10.3390\/s21051592","article-title":"Towards detecting red palm weevil using machine learning and fiber optic distributed acoustic sensing","volume":"21","author":"Wang","year":"2021","journal-title":"Sensors"},{"key":"10.1016\/j.ecoinf.2026.103733_b129","series-title":"Speech commands: A dataset for limited-vocabulary speech recognition","author":"Warden","year":"2018"},{"issue":"1","key":"10.1016\/j.ecoinf.2026.103733_b130","doi-asserted-by":"crossref","first-page":"10334","DOI":"10.1038\/s41598-022-14372-x","article-title":"A ResNet attention model for classifying mosquitoes from wing-beating sounds","volume":"12","author":"Wei","year":"2022","journal-title":"Sci. Rep."},{"issue":"8","key":"10.1016\/j.ecoinf.2026.103733_b131","doi-asserted-by":"crossref","first-page":"1701","DOI":"10.1088\/1361-6579\/aa7623","article-title":"Combining sparse coding and time-domain features for heart sound classification","volume":"38","author":"Whitaker","year":"2017","journal-title":"Physiol. Meas."},{"key":"10.1016\/j.ecoinf.2026.103733_b132","series-title":"Song Meter SM2","author":"Wildlife Acoustics","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b133","series-title":"Song meter SM4","author":"Wildlife Acoustics","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b134","series-title":"International Symposium on Intelligent Multimedia, Video and Speech Processing","first-page":"95","article-title":"Comparison of linear prediction cepstrum coefficients and mel-frequency cepstrum coefficients for language identification","author":"Wong","year":"2001"},{"key":"10.1016\/j.ecoinf.2026.103733_b135","series-title":"Deafness and hearing loss: Safe listening","author":"World Health Organisation","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b136","series-title":"Xeno-canto: Sharing wildlife sounds from around the world","author":"Xeno-canto","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b137","series-title":"5th International Conference on Agro-GGeoinformatics","first-page":"1","article-title":"Detection of sunn pests using sound signal processing methods","author":"Yazga\u00e7","year":"2016"},{"key":"10.1016\/j.ecoinf.2026.103733_b138","series-title":"Proceedings of the Conference on Information Technology for Social Good","first-page":"37","article-title":"A lightweight deep learning approach to mosquito classification from wingbeat sounds","author":"Yin","year":"2021"},{"issue":"4","key":"10.1016\/j.ecoinf.2026.103733_b139","doi-asserted-by":"crossref","first-page":"5189","DOI":"10.1007\/s11042-022-13367-0","article-title":"A deep learning-based pipeline for mosquito detection and classification from wingbeat sounds","volume":"82","author":"Yin","year":"2023","journal-title":"Multimedia Tools Appl."},{"key":"10.1016\/j.ecoinf.2026.103733_b140","series-title":"Iranian Conference on Electrical Engineering","first-page":"1785","article-title":"Insect identification based on bioacoustic signal using spectral and temporal features","author":"Zamanian","year":"2017"},{"key":"10.1016\/j.ecoinf.2026.103733_b141","series-title":"IEEE Conference on Technologies for Sustainability","first-page":"12","article-title":"PEDS-AI: A novel unmanned aerial vehicle based artificial intelligence powered visual-acoustic pest early detection and identification system for field deployment and surveillance","author":"Zhang","year":"2023"},{"key":"10.1016\/j.ecoinf.2026.103733_b142","series-title":"6th International Conference on Communication, Image and Signal Processing","first-page":"289","article-title":"A novel insect sound recognition algorithm based on MFCC and CNN","author":"Zhang","year":"2021"},{"issue":"2","key":"10.1016\/j.ecoinf.2026.103733_b143","doi-asserted-by":"crossref","first-page":"206","DOI":"10.3390\/f14020206","article-title":"Classification of complicated urban forest acoustic scenes with deep learning models","volume":"14","author":"Zhang","year":"2023","journal-title":"Forests"},{"key":"10.1016\/j.ecoinf.2026.103733_b144","series-title":"The ZOOM H2n handy recorder","author":"ZOOM","year":"2025"},{"key":"10.1016\/j.ecoinf.2026.103733_b145","series-title":"ZOOM H4 handy recorder","author":"ZOOM","year":"2025"}],"container-title":["Ecological Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1574954126001391?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1574954126001391?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T00:32:35Z","timestamp":1777681955000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1574954126001391"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":145,"alternative-id":["S1574954126001391"],"URL":"https:\/\/doi.org\/10.1016\/j.ecoinf.2026.103733","relation":{},"ISSN":["1574-9541"],"issn-type":[{"value":"1574-9541","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A review of acoustic systems for insect monitoring: From recording technologies to species recognition performance","name":"articletitle","label":"Article Title"},{"value":"Ecological Informatics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ecoinf.2026.103733","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"103733"}}