Relevant bibliographies by topics / Artificial intelligence in entomology

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Artificial intelligence in entomology'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Artificial intelligence in entomology"

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Mansouri, Vahid, Saber Gholizadeh, and Saeed Hosseinpoor. "Impact of artificial intelligence on medical entomology research." Health Science Monitor 3, no. 2 (2024): 113–19. http://dx.doi.org/10.61186/hsm.3.2.113.

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Sharma, Ram Prakash, Anasuya Boruah, Anam Khan, et al. "Exploring the Significance of Insects in Ecosystems: A Comprehensive Examination of Entomological Studies." International Journal of Environment and Climate Change 13, no. 11 (2023): 1243–52. http://dx.doi.org/10.9734/ijecc/2023/v13i113276.

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The dynamic and expansive field of entomology is poised for transformative changes, thanks to technological advancements and the emergence of new avenues of research. Traditional methodologies like specimen collection and observation are increasingly being complemented by state-of-the-art techniques such as environmental DNA (eDNA) analysis, CRISPR genome editing, remote sensing, and artificial intelligence. The eDNA methodology, for example, offers a non-invasive approach to monitor elusive or endangered insect species, thereby enriching biodiversity databases. Genome editing technologies lik
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Lefèvre, Thomas, and Laurent Tournois. "Artificial Intelligence and Diagnostics in Medicine and Forensic Science." Diagnostics 13, no. 23 (2023): 3554. http://dx.doi.org/10.3390/diagnostics13233554.

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Diagnoses in forensic science cover many disciplinary and technical fields, including thanatology and clinical forensic medicine, as well as all the disciplines mobilized by these two major poles: criminalistics, ballistics, anthropology, entomology, genetics, etc. A diagnosis covers three major interrelated concepts: a categorization of pathologies (the diagnosis); a space of signs or symptoms; and the operation that makes it possible to match a set of signs to a category (the diagnostic approach). The generalization of digitization in all sectors of activity—including forensic science, the a
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Fraiwan, Mohammad, Rami Mukbel, and Dania Kanaan. "Using deep learning artificial intelligence for sex identification and taxonomy of sand fly species." PLOS ONE 20, no. 4 (2025): e0320224. https://doi.org/10.1371/journal.pone.0320224.

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Sandflies are vectors for several tropical diseases such as leishmaniasis, bartonellosis, and sandfly fever. Moreover, sandflies exhibit species-specificity in transmitting particular pathogen species, with females being responsible for disease transmission. Thus, effective classification of sandfly species and the corresponding sex identification are important for disease surveillance and control, managing breeding/populations, research and development, and conducting epidemiological studies. This is typically performed manually by observing internal morphological features, which maybe an err
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Veremme, Alexandre, Éric Lefevre, Gildas Morvan, Daniel Dupont, and Daniel Jolly. "Evidential calibration process of multi-agent based system: An application to forensic entomology." Expert Systems with Applications 39, no. 3 (2012): 2361–74. http://dx.doi.org/10.1016/j.eswa.2011.08.075.

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De, Mitu, and Santi Ranjan Dey. "An overview on Taxonomic Keys and Automated Species Identification (ASI)." INTERNATIONAL JOURNAL OF EXPERIMENTAL RESEARCH AND REVIEW 20 (December 30, 2019): 40–47. http://dx.doi.org/10.52756/ijerr.2019.v20.004.

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A core goal of taxonomy and systematics, entomology, field botany, horticulture, zoology and many agriculture courses involves learning to identify plants and animals. But current syllabi and time constraint allow students to see only a limited amount of taxonomic variability. Usually only experts such as taxonomists and trained technicians can identify taxa accurately because it requires special skills acquired through extensive experience. Taxonomic keys are essential tools for species identification, used by students and professionals. The development of computer-based, multi-media keys pro
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Fraiwan, Mohammad. "Efficient Convolutional Neural Network Model for the Taxonomy and Sex Identification of Three Phlebotomine Sandfly Species (Diptera, Psychodidae, and Phlebotominae)." Animals 14, no. 24 (2024): 3712. https://doi.org/10.3390/ani14243712.

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Sandflies, small insects primarily from the Psychodidae family, are commonly found in sandy, tropical, and subtropical regions. Most active during dawn and dusk, female sandflies feed on blood to facilitate egg production. In doing so, they can transmit infectious diseases that may cause symptoms such as fever, headaches, muscle pain, anemia, skin rashes, and ulcers. Importantly, sandflies are species-specific in their disease transmission. Determining the gender and species of sandflies typically involves examining their morphology and internal anatomy using established identification keys. H
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Espinosa-Chim, Alejandro D., Abigail Cetina-Romero, Héctor Iván Chumba-Poot, et al. "A Deep Learning Approach for Automated Identification of Triatoma infestans Using YOLOv8." Journal of Artificial Intelligence and Computing Applications 2, no. 2 (2024): 30–38. https://doi.org/10.5281/zenodo.14976415.

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Triatoma infestans, a primary vector of Chagas disease, poses a significant public health risk in Latin America. Rapid and accurate identification of this insect is essential for both vector surveillance programs and individual-level decision-making after potential exposure. Traditional identification methods rely on manual inspection, which is time-consuming, error-prone, and dependent on expert knowledge. This study explores the feasibility of an AI-driven detection system based on the medium YOLOv8 model (YOLOv8m) to automate the identification of T. infestans from images. The model was tra
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Liu, Chao, Jing Liu, Li Xu, and Wei Xiang. "Recent achievements in bionic implementations of insect structure and functions." Kybernetes 43, no. 2 (2014): 307–24. http://dx.doi.org/10.1108/k-09-2013-0192.

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Purpose – Entomology is a useful tool when applied to engineering challenges that have been solved in nature. Especially when these special abilities of olfactory sensation, vision, auditory perception, fly, jump, navigation, chemical synthesis, exquisite structure and others were connected with mechanization, informationization and intelligentization of modern science and technology, and produced innumerable classical bionic products. The paper aims to discuss these issues. Design/methodology/approach – All kinds of special abilities of insects and application status have been described and d
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Salili-James, Arianna, Ben Scott, Laurence Livermore, et al. "AI-Accelerated Digitisation of Insect Collections: The next generation of Angled Label Image Capture Equipment (ALICE)." Biodiversity Information Science and Standards 7 (September 15, 2023): e112742. https://doi.org/10.3897/biss.7.112742.

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The digitisation of natural science specimens is a shared ambition of many of the largest collections, but the scale of these collections, estimated at at least 1.1 billion specimens (Johnson et al. 2023), continues to challenge even the most resource-rich organisations.The Natural History Museum, London (NHM) has been pioneering work to accelerate the digitisation of its 80 million specimens. Since the inception of the NHM Digital Collection Programme in 2014, more than 5.5 million specimen records have been made digitally accessible. This has enabled the museum to deliver a tenfold increase
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Dissertations / Theses on the topic "Artificial intelligence in entomology"

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Shapovalenko, A. "Artificial intelligence." Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/33830.

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Technology of artificial intelligence will soon be able to help ensure the safety of your family, protecting it from the threat of international and domestic burglaries. In the USA the Department of Security also implements special software in its monitoring system, which scans phone calls and other messages. These programs can rapidly process large volumes of data and are even able to distinguish between a normal conversation from a potential threat. The old security system simply relied on sensors that reacted to a movement. Modern systems are directly related to artificial intelligence, whi
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Башлак, Ірина Анатоліївна, Ирина Анатольевна Башлак, Iryna Anatoliivna Bashlak, and I. Kurinnyy. "Artificial intelligence." Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/13517.

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Дядечко, Алла Миколаївна, Алла Николаевна Дядечко, Alla Mykolaivna Diadechko, and M. Chernyakova. "Artificial intelligence." Thesis, Вид-во СумДУ, 2009. http://essuir.sumdu.edu.ua/handle/123456789/16890.

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Bekeniova. "ARTIFICIAL INTELLIGENCE." Thesis, Київ 2018, 2018. http://er.nau.edu.ua/handle/NAU/33666.

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Yakushchenko, I. V., and L. M. Chuchilina. "The artificial intelligence." Thesis, Видавництво СумДУ, 2008. http://essuir.sumdu.edu.ua/handle/123456789/16003.

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Malmborn, Albin, and Linus Sjöberg. "Implementing Artificial intelligence." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20942.

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Den här uppsatsen har som syfte att undersöka huruvida det är möjligt att ta fram riktlinjer för vad privata verksamheter behöver ta i beaktande inför en planerad implementering av artificiell intelligens. Studien kommer belysa faktorer som hjälper företag att förstå vad som krävs inför en sådan omställning, men även de hinder som måste övervinnas för att lyckas. Studiens datainsamling har genomförts med två metoder, först en litteraturstudie sedan kvalitativa, semistrukturerade forskningsintervjuer. Dessa har sedan analyserats med vars en analysmetod som kompletterar varandra och därefter tol
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Tennenbaum, Christopher D. "Intentionality in Artificial Intelligence." Scholarship @ Claremont, 2011. http://scholarship.claremont.edu/cmc_theses/269.

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This paper addresses the question of whether Artificial Intelligence can have intentionality. This question is part of a larger discussion of whether or not Artificial Intelligence can ever be 'conscious'. Ultimately, I come to the conclusion that while we can see how intentionality can be transferred, it has yet to be shown that intentionality can be created within Artificial Intelligence. To begin, I define intentionality. I then discuss the Turing Test (Alan Turing, "Computing Machinery and Intelligence" and the Chinese Room (John R. Searle, "Minds, Brains, and Programs"). I conclude b
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Chaus, Oleksandr. "Artificial intelligence and robotics." Thesis, Дніпровський національний університет залізничного транспорту імені академіка В. Лазаряна, 2019. https://er.knutd.edu.ua/handle/123456789/14698.

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The work deals with artificial intelligence as one of the most exciting field in robotics. AI has penetrated almost every industry, from construction, transport and manufacturing to business intelligence, education and healthcare.<br>Робота стосується штучного інтелекту як однієї з найбільш захоплюючих галузей робототехніки. Штучний інтелект проник майже в усі галузі, від будівництва, транспорту та виробництва до бізнес-розвідки, освіти та охорони здоров'я.<br>Работа посвящена искусственному интеллекту как одной из самых захватывающих областей робототехники. Искусственный интеллект проник почт
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Matorina. "ARTIFICIAL INTELLIGENCE IN MEDICINE." Thesis, Київ 2018, 2018. http://er.nau.edu.ua/handle/NAU/33813.

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R, Maksimov K. "ARTIFICIAL INTELLIGENCE: MORAL ASPECT." Thesis, Національний авіаційний університет, 2017. http://er.nau.edu.ua/handle/NAU/28076.

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Books on the topic "Artificial intelligence in entomology"

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Harris, Michael C. Artificial intelligence. Marshall Cavendish Benchmark, 2011.

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Karam, P. Andrew. Artificial intelligence. Chelsea House, 2011.

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Thomas, Peggy. Artificial intelligence. Lucent Books, 2005.

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Bhargava, Cherry, and Pardeep Kumar Sharma. Artificial Intelligence. CRC Press, 2021. http://dx.doi.org/10.1201/9781003095910.

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Aggarwal, Charu C. Artificial Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72357-6.

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Kovalev, Sergei M., Sergei O. Kuznetsov, and Aleksandr I. Panov, eds. Artificial Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86855-0.

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Sharma, Lavanya, and Pradeep Kumar Garg. Artificial Intelligence. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003140351.

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Sharma, Lavanya, and Pradeep Kumar Garg. Artificial Intelligence. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003140351.

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Fang, Lu, Yiran Chen, Guangtao Zhai, Jane Wang, Ruiping Wang, and Weisheng Dong, eds. Artificial Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-93046-2.

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Fang, Lu, Yiran Chen, Guangtao Zhai, Jane Wang, Ruiping Wang, and Weisheng Dong, eds. Artificial Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-93049-3.

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Book chapters on the topic "Artificial intelligence in entomology"

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Chen, Robert H., and Chelsea Chen. "Intelligence." In Artificial Intelligence, 2nd ed. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003463542-32.

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Lexcellent, Christian. "Artificial Intelligence." In Artificial Intelligence versus Human Intelligence. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21445-6_2.

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Engelberger, Joseph F. "Artificial Intelligence." In Robotics in Service. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-1099-7_5.

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Monostori, Laszlo. "Artificial Intelligence." In CIRP Encyclopedia of Production Engineering. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-35950-7_16703-4.

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Dreyfus, Hubert. "Artificial Intelligence." In Contributions to Phenomenology. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-017-5344-9_7.

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Birrer, Frans A. J. "Artificial Intelligence." In Emerging Technologies and Military Doctrine. Palgrave Macmillan UK, 1986. http://dx.doi.org/10.1007/978-1-349-08505-7_4.

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Corsini, Piergiulio, and Violeta Leoreanu. "Artificial Intelligence." In Applications of Hyperstructure Theory. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3714-1_11.

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Spanke, Matthias. "Artificial Intelligence." In Retail Isn't Dead. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36650-6_7.

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Bianca, Mariano L. "Artificial Intelligence." In Science Between Truth and Ethical Responsibility. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16369-7_7.

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Watkiss, Stewart. "Artificial Intelligence." In Beginning Game Programming with Pygame Zero. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5650-3_10.

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Conference papers on the topic "Artificial intelligence in entomology"

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Alduweib, Eman, Muhammad Abu Arqoub, and Waseem Alromema. "Explainable Artificial Intelligence for Business Intelligence." In 2025 1st International Conference on Computational Intelligence Approaches and Applications (ICCIAA). IEEE, 2025. https://doi.org/10.1109/icciaa65327.2025.11013313.

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Abdollahi, Jafar, and Omid Mehrpour. "Opportunities and Challenges Artificial Intelligence in Pharmacology : Artificial Intelligence in Pharmacology." In 2024 11th International Symposium on Telecommunications (IST). IEEE, 2024. https://doi.org/10.1109/ist64061.2024.10843462.

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Russo, Joe. "Perspectives of agribusiness intelligence." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.95115.

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Mueller, Ulrich G. "Artificial selection on beneficial gut microbiomes of bees." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.94808.

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Allen, Paige E. "Dissemination ofEhrlichia chaffeensisusing an artificial membrane feeding system." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.108170.

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Xin, Lu. "Quality control of mass rearing of Trichogrammaon artificial media." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.105514.

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Huynh, Man P. "Advances in western corn rootworm, Diabrotica virgifera virgifera, artificial diets." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.113198.

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Chan, Lok, Kenzie Doyle, Duncan McElfresh, et al. "Artificial Artificial Intelligence." In AIES '20: AAAI/ACM Conference on AI, Ethics, and Society. ACM, 2020. http://dx.doi.org/10.1145/3375627.3375870.

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Arocho Rosario, Charluz M. "Screening of novel antigens for the control of Boophilus microplusthrough artificial feeding." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.111641.

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Chung, Hae-Na. "SkitoSnack: The development of an artificial blood meal replacement for mosquito culture." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.113006.

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Reports on the topic "Artificial intelligence in entomology"

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anis, sehab. Artificial Intelligence. ResearchHub Technologies, Inc., 2023. http://dx.doi.org/10.55277/researchhub.agwfnyrw.

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Cruz, Albert M. Crime Scene Intelligence. An Experiment in Forensic Entomology. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada476459.

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Roberts, Kamie. Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile. National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.ai.600-1.

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Novak, Jr, Simmons Gordon S., Porter Robert F., Kumar Bruce W., Causey Vipin, and Robert L. Artificial Intelligence Project. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada230793.

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Guerreiro, Joao, Sergio Rebelo, and Pedro Teles. Regulating Artificial Intelligence. National Bureau of Economic Research, 2023. http://dx.doi.org/10.3386/w31921.

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Cwik, Cynthia, Paul Grimm, Maura Grossman, and Toby Walsh. Artificial Intelligence and the Courts: Artificial Intelligence Trustworthiness, and Litigation. American Association for the Advancement of Science, 2022. http://dx.doi.org/10.1126/aaas.adf0786.

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Karanicolas, Michael, and Mallory Knodel. Artificial Intelligence and the Courts: Artificial Intelligence and Bias - An Evaluation. American Association for the Advancement of Science, 2022. http://dx.doi.org/10.1126/aaas.adf0788.

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Firth-Butterfield, Kay, and Karen Silverman. Artificial Intelligence and the Courts: Artificial Intelligence - Foundational Issues and Glossary. American Association for the Advancement of Science, 2022. http://dx.doi.org/10.1126/aaas.adf0782.

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Lesser, Victor R., Paul Cohen, and Wendy Lehnert. Center for Artificial Intelligence. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada282272.

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Boros, E., P. L. Hammer, and F. S. Roberts. Optimization and Artificial Intelligence. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada311365.

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