[HTML][HTML] Waid: A large-scale dataset for wildlife detection with drones

C Mou, T Liu, C Zhu, X Cui - Applied Sciences, 2023 - mdpi.com
Drones are widely used for wildlife monitoring. Deep learning algorithms are key to the
success of monitoring wildlife with drones, although they face the problem of detecting small …

Plot-level maize early stage stand counting and spacing detection using advanced deep learning algorithms based on UAV imagery

B Wang, J Zhou, M Costa, SM Kaeppler, Z Zhang - Agronomy, 2023 - mdpi.com
Phenotyping is one of the most important processes in modern breeding, especially for
maize, which is an important crop for food, feeds, and industrial uses. Breeders invest …

[HTML][HTML] High-resolution density assessment assisted by deep learning of Dendrophyllia cornigera (Lamarck, 1816) and Phakellia ventilabrum (Linnaeus, 1767) in …

A Gayá-Vilar, A Cobo, A Abad-Uribarren, A Rodríguez… - PeerJ, 2024 - peerj.com
This study presents a novel approach to high-resolution density distribution mapping of two
key species of the 1170 “Reefs” habitat, Dendrophyllia cornigera and Phakellia ventilabrum …

Counting Abalone with High Precision Using YOLOv3 and DeepSORT

D Kibet, JH Shin - Processes, 2023 - mdpi.com
In this research work, an approach using You Only Look Once version three (YOLOv3)-
TensorFlow for abalone detection and Deep Simple Online Real-time Tracking (DeepSORT) …

Enhancing aspect-based multi-labeling with ensemble learning for ethical logistics

AA Almazroi, N Ayub - Plos one, 2024 - journals.plos.org
In the dynamic domain of logistics, effective communication is essential for streamlined
operations. Our innovative solution, the Multi-Labeling Ensemble (MLEn), tackles the …

Wild Animals Intrusion Detection for Safe Commuting in Forest Corridors using AI Techniques

JJD Raj, CN Sangeetha, S Ghorai… - … in Technology and …, 2023 - ieeexplore.ieee.org
There are many animal attacks on human is being reported in the recent days particularly in
the forest area which claims innocent lives. In order to reduce such incidents this work is …

Advanced intelligent monitoring technologies for animals: A survey

P Xu, Y Zhang, M Ji, S Guo, Z Tang, X Wang, J Guo… - Neurocomputing, 2024 - Elsevier
Effective animal intelligent monitoring is of great value in terms of ecological protection and
endangered specie conservation. At present, computer vision technologies have shed light …

Automated soft pressure sensor array-based sea lamprey detection using machine learning

H Shi, Y Mei, I González-Afanador, C Chen… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Sea lamprey, a destructive invasive species in the Great Lakes in North America, is among
very few fishes that rely on oral suction during migration and spawning. Recently, soft …

YOLO series target detection algorithms for underwater environments

C Zhang, P Jiao - arXiv preprint arXiv:2309.03539, 2023 - arxiv.org
You Only Look Once (YOLO) algorithm is a representative target detection algorithm
emerging in 2016, which is known for its balance of computing speed and accuracy, and …

Monitoring of Wildlife Using Unmanned Aerial Vehicle (UAV) With Machine Learning

ZE Ahmed, AHA Hashim, RA Saeed… - Applications of Machine …, 2024 - igi-global.com
Wildlife monitoring is critical for ecological study, conservation, and wildlife management,
but traditional approaches have drawbacks. The combination of unmanned aerial vehicles …