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Biodiversity loss poses a significant threat to humanity, making wildlife monitoring essential for assessing ecosystem health. Avian species are ideal subjects for this due to their popularity and the ease of identifying them through their…

Machine Learning · Computer Science 2026-02-23 Nina Brolich , Simon Geis , Maximilian Kasper , Alexander Barnhill , Axel Plinge , Dominik Seuß

Monitoring plankton populations in situ is fundamental to preserve the aquatic ecosystem. Plankton microorganisms are in fact susceptible of minor environmental perturbations, that can reflect into consequent morphological and dynamical…

Computer Vision and Pattern Recognition · Computer Science 2022-09-15 Paolo Didier Alfano , Marco Rando , Marco Letizia , Francesca Odone , Lorenzo Rosasco , Vito Paolo Pastore

Insects are the most important global pollinator of crops and play a key role in maintaining the sustainability of natural ecosystems. Insect pollination monitoring and management are therefore essential for improving crop production and…

Computer Vision and Pattern Recognition · Computer Science 2022-12-06 Malika Nisal Ratnayake , Don Chathurika Amarathunga , Asaduz Zaman , Adrian G. Dyer , Alan Dorin

Recently, it was found that many real-world examples without intentional modifications can fool machine learning models, and such examples are called "natural adversarial examples". ImageNet-A is a famous dataset of natural adversarial…

Computer Vision and Pattern Recognition · Computer Science 2021-02-24 Xiao Li , Jianmin Li , Ting Dai , Jie Shi , Jun Zhu , Xiaolin Hu

The decline in ecological connections signifies the potential extinction of species, which can be attributed to disruptions and alterations. The decrease in interconnections among species reflects their susceptibility to changes. For…

Populations and Evolution · Quantitative Biology 2023-10-10 Ali Bayat , Mohammad Heydari , Amir Albadvi

This report investigates an unsupervised, feature-based image matching pipeline for the novel application of identifying individual k\=ak\=a. Applied with a similarity network for clustering, this addresses a weakness of current supervised…

Computer Vision and Pattern Recognition · Computer Science 2023-01-25 Fintan O'Sullivan , Kirita-Rose Escott , Rachael C. Shaw , Andrew Lensen

There is still a long way to go before artificial mini robots are really used for search and rescue missions in disaster-hit areas due to hindrance in power consumption, computation load of the locomotion, and obstacle-avoidance system.…

Automatic camera-assisted monitoring of insects for abundance estimations is crucial to understand and counteract ongoing insect decline. In this paper, we present two datasets of nocturnal insects, especially moths as a subset of…

Computer Vision and Pattern Recognition · Computer Science 2023-07-31 Dimitri Korsch , Paul Bodesheim , Gunnar Brehm , Joachim Denzler

Insect populations are declining globally, making systematic monitoring essential for conservation. Most classical methods involve death traps and counter insect conservation. This paper presents a multisensor approach that uses AI-based…

In ecological research, accurately collecting spatiotemporal position data is a fundamental task for understanding the behavior and ecology of insects and other organisms. In recent years, advancements in computer vision techniques have…

Computer Vision and Pattern Recognition · Computer Science 2024-02-01 Daisuke Mori , Hiroki Hayami , Yasufumi Fujimoto , Isao Goto

Accurate classification of terrestrial habitats is critical for biodiversity conservation, ecological monitoring, and land-use planning. Several habitat classification schemes are in use, typically based on analysis of satellite imagery…

Computer Vision and Pattern Recognition · Computer Science 2025-08-28 Mahdis Tourian , Sareh Rowlands , Remy Vandaele , Max Fancourt , Rebecca Mein , Hywel T. P. Williams

The intelligent swarm behavior of social insects (such as ants) springs up in different environments, promising to provide insights for the study of embodied intelligence. Researching swarm behavior requires that researchers could…

Computer Vision and Pattern Recognition · Computer Science 2022-04-08 Meihong Wu , Xiaoyan Cao , Shihui Guo

Analysis of microscopy images is one important tool in many fields of biomedical research, as it allows the quantification of a multitude of parameters at the cellular level. However, manual counting of these images is both tiring and…

Computer Vision and Pattern Recognition · Computer Science 2013-11-13 P. A Nogueira

Spatial models for occupancy data are used to estimate and map the true presence of a species, which may depend on biotic and abiotic factors as well as spatial autocorrelation. Traditionally researchers have accounted for spatial…

Applications · Statistics 2021-05-05 Narmadha M. Mohankumar , Trevor J. Hefley

Accumulating observational evidence suggests an intimate connection between rapidly expanding insect populations, deforestation, and global climate change. We review the evidence, emphasizing the vulnerability of key planetary carbon pools,…

Populations and Evolution · Quantitative Biology 2007-05-23 David Dunn , James P. Crutchfield

Disease and pest control largely rely on pesticides use and progress still remains to be made towards more sustainable practices. Pest Monitoring Networks (PMNs) can provide useful information for improving crop protection by restricting…

Populations and Evolution · Quantitative Biology 2020-02-05 Marie-Josée Cros , Jean-Noël Aubertot , Sabrina Gaba , Xavier Reboud , Régis Sabbadin , Nathalie Peyrard

1. Anthropogenic actions cause rapid ecological changes, meaning that animals have to respond before they have time to adapt. Tools to quantify emergent spatial patterns from animal-habitat interaction mechanisms are vital for predicting…

Populations and Evolution · Quantitative Biology 2015-01-06 Jonathan R. Potts , Karl Mokross , Philip C Stouffer , Mark A. Lewis

Plant diseases are major causes of production losses and may have a significant impact on the agricultural sector. Detecting pests as early as possible can help increase crop yields and production efficiency. Several robotic monitoring…

Robotics · Computer Science 2023-08-29 Adi Yehoshua , Yael Edan

Ground beetles are a highly sensitive and speciose biological indicator, making them vital for monitoring biodiversity. However, they are currently an underutilized resource due to the manual effort required by taxonomic experts to perform…

Computer Vision and Pattern Recognition · Computer Science 2026-01-27 S M Rayeed , Alyson East , Samuel Stevens , Sydne Record , Charles V Stewart

Mosquito habitat ranges are projected to expand due to climate change. This investigation aims to identify future mosquito habitats by analyzing preferred ecological conditions of mosquito larvae. After assembling a data set with…

Machine Learning · Computer Science 2022-10-11 Christopher Sun , Jay Nimbalkar , Ravnoor Bedi