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Georgios C. Katranas, Thomas N. Vassilakos, Christos I. Rumbos and Christos G. Athanassiou
The impact of trap type and height on the captures of adults of the pink bollworm, Pectinophora gossypiella (Saunders) (Lepidoptera: Gelechiidae), was assessed in cotton fields in three experimental sites (Nikaia, Nees Karyes, and Koilada) in Central Gre...
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Claudia Cavallaro, Carolina Crespi, Vincenzo Cutello, Mario Pavone and Francesco Zito
This paper introduces an agent-based model grounded in the ACO algorithm to investigate the impact of partitioning ant colonies on algorithmic performance. The exploration focuses on understanding the roles of group size and number within a multi-objecti...
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Nikola Ivkovic, Robert Kudelic and Marin Golub
Ant colony optimization (ACO) is a well-known class of swarm intelligence algorithms suitable for solving many NP-hard problems. An important component of such algorithms is a record of pheromone trails that reflect colonies? experiences with previously ...
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Meixiang Chen, Liping Chen, Tongchuan Yi, Ruirui Zhang, Lang Xia, Cheng Qu, Gang Xu, Weijia Wang, Chenchen Ding, Qing Tang and Mingqi Wu
Traditional traps for Spodoptera frugiperda (J. E. Smith) monitoring require manual counting, which is time-consuming and laborious. Automatic monitoring devices based on machine vision for pests captured by sex pheromone lures have the problems of large...
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Zahra Sepahvand, Masumeh Ziaee, Roshanak Ghorbani, Seyed Ali Hemmati and Jacek Francikowski
The European grapevine moth, Lobesia botrana (Denis and Schiffermüller) (Lepidoptera: Tortricidae), is the most critical pest of vineyards. In the present study, pheromone-baited traps were applied in 2021 and 2022 to monitor the moth population dynamics...
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Zheping Yan, Weidong Liu, Wen Xing and Enrique Herrera-Viedma
How an autonomous underwater vehicle (AUV) performs fully automated task allocation and achieves satisfactory mission planning effects during the search for potential threats deployed in an underwater space is the focus of the paper. First, the task assi...
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Sumesh Nair, Yvonne Yuling Hu, Ching-Chieh Su, Ming-Jeh Chien and Shean-Jen Chen
Fungus gnats (Sciaridae) are one of the most devastating pests on mushroom farms. Generally, they are controlled using relatively inefficient physical means, like sticky or pheromone traps, or with chemical pesticides. Here, we have proposed an integrate...
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Ioannis Saradopoulos, Ilyas Potamitis, Antonios I. Konstantaras, Panagiotis Eliopoulos, Stavros Ntalampiras and Iraklis Rigakis
This study describes the development of an image-based insect trap diverging from the plug-in camera insect trap paradigm in that (a) it does not require manual annotation of images to learn how to count targeted pests, and (b) it self-disposes the captu...
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Sara Pérez-Carabaza, Akemi Gálvez and Andrés Iglesias
Ant Colony Optimization (ACO) encompasses a family of metaheuristics inspired by the foraging behaviour of ants. Since the introduction of the first ACO algorithm, called Ant System (AS), several ACO variants have been proposed in the literature. Owing t...
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Wei Yue, Wenbin Tang and Liyuan Wang
In order to enhance the anti-submarine capability of multi-unmanned aerial vehicles (multi-UAVs) in the unknown sea environment and improve the search efficiency, in this paper, we propose a rule-inspired-multi-ant colony (RI-MAC)-based UAV cooperative s...
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