Image Recognition Method of Agricultural Pests Based on Multisensor Image Fusion Technology by Xianfeng Zeng, Changjiang Huang, Liuchun Zhan

“…And through experimental data, it is finally verified that the image recognition method used in this paper improves the recognition rate and effectiveness by nearly 65% in the detection of soybean leaf moth pests.…”
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Enhancing Solar Energy Prospects: Predicting Direct Normal Irradiance in Qinghai Province Using ALO-RF Modeling by MD Abdul Munnaf, Tawhidul Islam

“…This study uses the Genetic algorithm, Moth Flame Optimization, and Ant Lion Optimizer to optimize the Random Forest model. …”
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Different Meta-Heuristic Optimized Radial Basis Function Neural Network Models for Short-Term Power Consumption Forecasting by Dhivagar Shanmugam, V Ramana

“…These optimizers include Grey Wolf Optimizer (GWO), Advanced Gray Wolf Optimization (AGWO), Moth-Flame Optimization Algorithm (MFO), Particle Swarm Optimization (PSO), Multi-Verse Optimizer (MVO), and Artificial Bee Colony (ABC). …”
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Chevroned Water Hyacinth weevil Neochetina bruchi Hustache (Insecta: Coleoptera: Curculionidae) by Eutychus Kariuki, Carey Minteer

“…The other three species include a weevil, Neochetina eichhorniae; a moth, Niphograptaalbiguttalis; and a planthopper, Megamelus scutellaris, which were introduced into the United States in 1972, 1977, and 2010, respectively (Tipping et al. 2014). …”
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Environmental DNA profiling for detecting plant-insect interactions in endangered and native flora by Pugh Andrew, Trower Max, Mercier Celine, Bartlett Michael, Sutherland Roanne, Cridge Andrew

“…This study also shed light on the underexplored area of nocturnal pollination, providing evidence of native moth involvement in pollinating plant species. While there was no definitive evidence of rare insects visiting mānuka (Leptospermum scoparium) or Lophomyrtus spp., this study did reveal the importance of these plant species and the resources the flowers provide not just to pollinators, but insects with other key roles in the ecosystem.…”
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Reinforced colour preference of parasitoid wasps in the presence of floral scent: a case study of a cross-modal effect by Soichi Kugimiya, Takeshi Shimoda, Junji Takabayashi

“…Abstract We examined the possibility of a cross-modal effect in naïve Cotesia vestalis, a parasitoid wasp of diamondback moth larvae, by using artificial flower models of four colours (blue, green, yellow, and red) in the absence or presence of floral scent collected from Brassica rapa inflorescences. …”
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Chevroned Water Hyacinth weevil Neochetina bruchi Hustache (Insecta: Coleoptera: Curculionidae) by Eutychus Kariuki, Carey Minteer

“…The other three species include a weevil, Neochetina eichhorniae; a moth, Niphograptaalbiguttalis; and a planthopper, Megamelus scutellaris, which were introduced into the United States in 1972, 1977, and 2010, respectively (Tipping et al. 2014). …”
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Effects of Catastrophic Insect Outbreaks on the Harvesting Solutions of Dahurian Larch Plantations by Qi Jin, Lauri Valsta, Kari Heliövaara, Jing Li, Youqing Luo, Juan Shi

“…The effects of catastrophic pest outbreaks caused by the Siberian moth (Dendrolimus sibiricus) on the economic harvesting plan are compared through both deterministic and stochastic cases. …”
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A high-quality chromosome-level genome assembly of the mulberry looper, Phthonandria atrilineata by De-Long Guan, Ying-can Qin, Ya-Zhen Chen, Shi-Hao Zhang, Ji-ping Liu, Hui-Yu Yi, Xiao-Dong Li

“…Abstract The mulberry looper (Phthonandria atrilineata), a geometrid moth, plays a pivotal role in the destruction of mulberry trees (Morus spp.). …”
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Insect Pests and Diseases in Stored Sorghum (Sorghum bicolor L.) and Maize (Zea mays L.) in West Hararghe, Ethiopia by Gelana Keno Beyene, Amin Mohammed Yones, Ahmed Beyan Heji, Mukaddes Kayim

“…The results revealed that maize and sorghum grains stored in sacks, ground pits, markets, and hanging (maize cob) storage containers were infested with insect species: maize weevil (S. zeamais), Angoumois grain moth (S. cerealella), rice weevil (S. oryzae), Red flour beetle (T. castaneum), confused flour beetle (T. confusum), and Lesser grain borer (R. dominica). …”
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Spiral Motion Enhanced Elite Whale Optimizer for Global Tasks by GuoChun Wang, Wenyong Gui, Guoxi Liang, Xuehua Zhao, Mingjing Wang, Majdi Mafarja, Hamza Turabieh, Junyi Xin, Huiling Chen, Xinsheng Ma

“…To solve these shortcomings, an elite strategy and spiral motion from moth flame optimization are utilized to enhance the original algorithm’s efficiency, called MEWOA. …”
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Genome assembly of the grassland caterpillar Gynaephora qinghaiensis by Youpeng Lai, Shan Xiao, Minggang Qin, Xinhai Ye, Fang Wang, Qi Fang

“…Phylogenomic analysis indicated that G. qinghaiensis and the rusty tussock moth Orgyia antiqua diverged approximately 18.3 million years ago. …”
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Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms by Milad Mohebbi, Behnam Sobhani

“…The meta-heuristic algorithms employed for fine-tuning the ANN's weight and bias parameters include the Genetic Algorithm (GA), Multi-Verse Optimizer (MVO), Moth Flame Optimization (MFO), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Advanced Grey Wolf Optimizer (AGWO), Biogeography-Based Optimization (BBO), and Particle Swarm Optimization with Grey Wolf Optimizer (PSOGWO). …”
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Landscape composition and orchard management effects on bat assemblages and bat foraging activity in apple crops by Marcos Miñarro, Daniel García

“…For that, we carried out acoustic monitoring of bats and sampled pest moth abundance across a wider range of apple orchards covering different landscape contexts and local management conditions. …”
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Multijunction solar cell parameter estimation based on metaheuristic algorithms by Marwa M. Elzalabani, Doaa M. Atia, Aref Y. Eliwa, Belal A. Abou Zalam, Mahmoud S. AbouOmar

“…The study compared the performance of five optimization algorithms: Grey Wolf Optimizer (GWO), Artificial Hummingbird Algorithm (AHA), Tunicate Swarm Algorithm (TSA), War Strategy Algorithm (WSA), and Moth flam optimizer (MFO). The results demonstrate the superior performance of the AHA algorithm, which has the lowest RMSE value (0.0582) in the SDM and DDM cases, while WSA has the lowest RMSE value (0.0488) in the TDM instance. …”
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Agroforestry systems favor bat conservation but only when old and grazed by Manon Edo, Martin H. Entling, Felix Herzog, Kira Noe, João HN Palma, Ayla Seithe, Will Simonson, Jo Smith, Anja Weiler, Verena Rösch

“…In this study, bat activity was recorded with autonomous sound recorders (AudioMoth) in sixty-five agroforestry and reference sites across western Europe. …”
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APPLE BREEDING PROGRAMS AND METHODS: THEIR DEVELOPMENT AND IMPROVEMENT by E. N. Sedov

“…It is necessary to create cultivars immune and highly resistant to powdery mildew, European red mite, apple moth, and other pests. We need apple cultivars with multiple resistance to pests and diseases.Apple breeding on a polyploidy level at the Institute of Fruit Crop Breeding proved to be quite promising. …”
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Damage Identification in Large-Scale Structures Using Time Series Analysis and Improved Sparse Regularization by Huihui Chen, Xiaojing Yuan

“…The proposed method has been validated based on a numerical continuous rigid frame bridge and an experimental steel truss bridge. Compared to the moth-flame optimization (MFO) algorithm and traditional regularization methods, for both noise-free and noise polluted data, the iteration curves illustrate that the proposed method can achieve convergence within about 200 iterations, while the MFO algorithm is always trapped into local optima; meanwhile, the traditional regularization method needs more iterations or even cannot meet the preset tolerance. …”
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Characterization of a Novel Male Pheromone Compound in <i>Leucoptera sinuella</i> (Lepidoptera: Lyonetiidae) and Its Role in Courtship Behavior by Laura Sánchez-Aros, Abel F. O. Queiroz, Jorge Guajardo, Wilson Barros-Parada, Glenn P. Svensson, Jan Bergmann

“…The poplar moth, <i>Leucoptera sinuella</i> (Lepidoptera: Lyonetiidae), is widely distributed across Europe, Asia, and parts of Africa. …”
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Optimizing Solid Oxide Fuel Cell Performance Using Advanced Meta-Heuristic Algorithms by Siva Ram Rajeyyagari, Srinivas Nowduri

“…These include the Angle of Attack Optimization (AOA), Particle Swarm Optimization with Grey Wolf Optimizer (PSOGWO), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Moth Flame Optimization (MFO), and Multi-Verse Optimizer (MVO). …”
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