Predicting the Phenology of Herbivorous Insects by Zimo Yang, Elise Woodruff, David Held, Nate B. Hardy

“…Our analysis demonstrates that by accounting for more information on the variation across insect populations and their environments, we can make better and more generalizable predictions of herbivorous insect phenology.…”
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Characteristics prediction of insect chitin synthase by LU Jian-liang, LIN Chen, YANG Xiao-li, ZHENG Xin-qiang, LIANG Yue-rong

“…According to the chitin synthase (CS) gene sequences deposited in GenBank, characteristics of insect CS were studied by software solution including GenDoc, PROSITE Motif search and PredictProtein. …”
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Predicting insect migration density and speed in the daytime convective boundary layer. by James R Bell, Prabhuraj Aralimarad, Ka-Sing Lim, Jason W Chapman

“…Both average speeds and densities were predicted remotely from a site over 100 km away, although insect densities were much noisier due to local 'spiking'. …”
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Topography and land cover of watersheds predicts the distribution of the environmental pathogen Mycobacterium ulcerans in aquatic insects. by Kevin Carolan, Andres Garchitorena, Gabriel E García-Peña, Aaron Morris, Jordi Landier, Arnaud Fontanet, Philippe Le Gall, Gaëtan Texier, Laurent Marsollier, Rodolphe E Gozlan, Sara Eyangoh, Danny Lo Seen, Jean-Francois Guégan

“…<h4>Methodology</h4>Following extensive sampling of the community of aquatic macroinvertebrates in Cameroon, we select the 5 dominant insect Orders, and conduct an ecological niche model to describe how the distribution of M. ulcerans positive insects changes according to land cover and topography. …”
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Template-based modeling of insect odorant receptors outperforms AlphaFold3 for ligand binding predictions by Amara Jabeen, John Graham Oakeshott, Siu Fai Lee, Shoba Ranganathan, Phillip W. Taylor

“…Abstract Insects rely on odorant receptors (ORs) to detect and respond to volatile environmental cues, so the ORs are attracting increasing interest as potential targets for pest control. …”
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AI-Driven Insect Detection, Real-Time Monitoring, and Population Forecasting in Greenhouses by Dimitrios Kapetas, Panagiotis Christakakis, Sofia Faliagka, Nikolaos Katsoulas, Eleftheria Maria Pechlivani

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How many generations does it take for phytophages to colonize invasive plants? Mathematical modeling predictions by E.N. Ustinova, S.N. Lysenkov

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Modeling the Efficacy of Phosphine on Eggs of Major Stored-Product Insect Species: Investigating Strains with Varying Susceptibility Levels by Marina Gourgouta, Maria K. Sakka, Evmorfia P. Bataka, M. Carolin Götze, Christos T. Nakas, Christos G. Athanassiou

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The Effect of Climate Change on Indicator Wetland Insects: Predicting the Current and Future Distribution of Two Giant Water Bugs (Hemiptera: Belostomatidae) in South Korea by Seon Yi Kim, Changseob Lim, Ji Hyoun Kang, Yeon Jae Bae

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Predicting Heat Treatment Duration for Pest Control Using Machine Learning on a Large-Scale Dataset by Stavros Rossos, Paraskevi Agrafioti, Vasilis Sotiroudas, Christos G. Athanassiou, Efstathios Kaloudis

“…Traditional methods like fumigation face challenges, including insect resistance and environmental concerns, prompting the need for alternative approaches. …”
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Meta-analysis of the effect of black soldier fly larvae meal in diet on broiler performance and prediction of its metabolisable energy value by Andrés L. Martínez Marín, Marta Gariglio, Ilaria Biasato, Laura Gasco, Achille Schiavone

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Nepenthes of Kerangas Forest of Tuing towards Insect by Nur Annis Hidayati

“…</em>Nepenthes<em> spp. are carnivorous plants which use insect as their nitrogen source. This research aimed to predict the role of </em>Nepenthes<em> spp. of kerangas forest towards insect through insect composition in the pitchers of </em>Nepenthes<em> spp.. …”
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Ensemble of Efficient Vision Transformers for Insect Classification by Marius Alexandru Dinca, Dan Popescu, Loretta Ichim, Nicoleta Angelescu

“…Real-time identification of insect pests is an important research direction in modern agricultural management, directly influencing crop health and yield. …”
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Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning by Sarah Nawoya, Quentin Geissmann, Henrik Karstoft, Kim Bjerge, Roseline Akol, Andrew Katumba, Cosmas Mwikirize, Grum Gebreyesus

“…These results underscore the feasibility of leveraging CV techniques for predicting the sex and body traits of BSF larvae, representing a significant advancement toward the automation of selective breeding in the context of insect farming.…”
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Interpreting insect behavior through the lens of executive functions by Bartosz Baran, Michał Obidziński, Mateusz Hohol

“…Despite miniature brains, insects exhibit flexible, adaptive, and goal-directed responses. …”
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Temperature-Driven Models for Insect Development and Vital Thermal Requirements by Petros Damos, Matilda Savopoulou-Soultani

“…Given the importance of predicting distribution of insects, for insect ecology and pest management, this article reviews representative temperature-driven models, heat accumulation systems and statistical model evaluation criteria, in an attempt to describe continuous and progressive improvement of the physiological time concept in current entomological science and to infer the ecological consequences for insect spatiotemporal arrangements.…”
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Stability Analysis of Competing Insect Species for a Single Resource by Sizah Mwalusepo, Henri E. Z. Tonnang, Estomih S. Massawe, Tino Johansson, Bruno Pierre Le Ru

“…The models explore the effects of resource and temperature on competition between insect species. A system of differential equations is proposed and analysed qualitatively using stability theory. …”
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Evaluation of overwintering risk of tropical and subtropical insect pests in temperate regions by Keiichiro Matsukura, Nobuo Mizutani, Sayumi Tanaka, Yoshiaki Tanaka

“…The parameter derived from a proportional increment in the time to 99.9% mortality under constant low temperatures causing chilling injury evaluates the survival of target insect populations based on winter climate data. For S. frugiperda and C. bipunctata, but not for L. striatellus, the accuracy of the model in predicting the overwintering range was equivalent to, or better than, those of a conventional species distribution model. …”
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Growth Rate Prediction, Performance, and Biochemical Enhancement of Black Soldier Fly (<i>Hermetia illucens</i>) Fed with Marine By-Products and Co-Products: A Potential Value-Adde... by Daniela P. Rodrigues, Ricardo Calado, Marisa Pinho, M. do Rosário Domingues, José Antonio Vázquez, Olga M. C. C. Ameixa

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Forecasting Range Shifts in Terrestrial Alpine Insects Under Global Warming by Fabio Leonardo Meza‐Joya, Mary Morgan‐Richards, Steven A. Trewick

“…Endemic species on islands are predicted to be especially vulnerable. Inferences drawn from the responses of alpine insects, also have relevance to species in other montane habitats. …”
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