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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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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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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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

“…This study leverages machine learning (ML) to predict the duration of heat treatments required for effective pest control in various industrial buildings. …”
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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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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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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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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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Scientific basis for predicting the spread of pests by A. Fedorenko, O. Borzykh, V. Fedorenko, V. Chaika, L. Yushchenko

“…In order to green plant protection, increase the efficiency and reliability of forecasting, programs for predicting potential crop losses from a complex of harmful insects have been developed, and the ecological and economic feasibility of chemical crop protection in the current phytosanitary situation has been substantiated.…”
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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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Impact of climatic change on alpine ecosystems: inference and prediction by Nigel G. Yoccoz, Anne Delestrade, Anne Loison

“…Climate can modify species phenology, such as flowering date of plants and hatching date in insects. It can also change directly population demography (survival, reproduction, dispersal), and therefore species distribution. …”
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Algorithms for Effector Prediction in Plant Pathogens and Pests: Achievements and Current Challenges by César De los Santos-Briones, Karla Gisel Carreón-Anguiano, Sara E. Vila-Luna, Jewel Nicole Anna Todd, Ignacio Islas-Flores, Luis Sáenz-Carbonell, Pablo Alejandro Gamas-Trujillo, Blondy Canto-Canché

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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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Evaluating LiDAR‐Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests by Marissa H. Chase, Alexandra Harmon‐Threatt, Samuel F. Stickley, Brian Charles, Jennifer M. Fraterrigo

“…ABSTRACT Globally, many insects depend on forest habitat for critical nesting and floral resources. …”
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Predicting dengue incidence in high-risk areas of China through the integration of Southeast Asian and local meteorological factors by Shaowei Sang, Yiguan Wang, Qiyong Liu, Peng Chen, Chuanxi Li, Anran Zhang

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