Results 31 to 40 of about 7,696 (200)

Matching habitat choice could be brightness‐based instead of hue‐based in green‐brown polymorphic grasshoppers

Oikos, EarlyView.
Some prey species have evolved background matching, that is they resemble their surrounding environment in terms of colour and/or brightness. When prey populations inhabit patchy environments, they may even have evolved specialised phenotypes: each phenotype matching a specific subset of patches.
Lilian Cabon, Holger Schielzeth
wiley   +1 more source

Shrimp Diseases Detection Method Based on Improved YOLOv8 and Multiple Features

智慧农业
ObjectiveIn recent years, there has been a steady increase in the occurrence and fatality rates of shrimp diseases, causing substantial impacts in shrimp aquaculture.
XU Ruifeng, WANG Yaohua, DING Wenyong, YU Junqi, YAN Maocang, CHEN Chen   +5 more
doaj   +1 more source

The potential of seedbank digital information in plant conservation

PLANTS, PEOPLE, PLANET, EarlyView.
Seedbanks are vital for biodiversity conservation, but their potential remains underutilised due to a limited understanding of the intraspecific genetic diversity they hold. By leveraging digitised data associated with seedbank collections, such as sampling locations, number of maternal plants and seed traits, we can attempt the estimation of genetic ...
Roberta Gargiulo, Sean Hoban, Anne M. Visscher, Pablo Gómez Barreiro, Roberta L. C. Dayrell, Kiran L. Dhanjal‐Adams, Alice R. Hudson, Charlotte E. Seal, Simon Kallow, Jan Sala, Lee Oliver, Naomi Carvey, Ted Chapman, Efisio Mattana, Clare Callow, Christopher Cockel, Michael F. Fay, Juan Viruel, Inna Birchenko, Stephanie Miles, Timothy Pearce, Paul Kersey, Elinor Breman, Kate A. Hardwick   +23 more
wiley   +1 more source

An Improved Small Target Detection Algorithm Based on YOLOv8s [PDF]

Radioengineering
Due to challenges such as the small size of targets, complex backgrounds, limited feature extraction capa-bilities, and frequent false positives and false negatives, traditional detection algorithms often perform poorly in small object detection tasks ...
G. Ma, C. Xu, Z. Xu, X. Song
doaj  

Federated Learning and Blockchain-Based Collaborative Framework for Real-Time Wild Life Monitoring

Cybernetics and Information Technologies
Effective wildlife monitoring in hilly and rural areas can protect communities and diminish human-wildlife conflicts. A collaborative framework may overcome challenges like inadequate data integrity and security, declining detection accuracy over time ...
Jagannathan Preetha, Saravanan Kalaivanan, Deepajothi Subramaniyam, Vadivel Sharmila   +3 more
doaj   +1 more source

Lightweight Object Detection Algorithm for Electric Meter Calibration Line

Shuju Caiji Yu Chuli
In the industrial production line scenario， target detection technology with visual information has become a new hotspot for intelligent production， providing decision‑making information for fault detection and elimination.
DONG Xianguang, SUN Yanling, DAI Yanjie, XING Yu, ZHAI Xiaohui, SUN Kai, LYU Yuchao, WU Qiang, LIU Ju   +8 more
doaj   +1 more source

Unmanned Aerial Systems for Corrosion Detection: Multi‐Sensor Technologies, Challenges, and Opportunities for Next‐Generation Inspection

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Corrosion remains a critical threat to the integrity and service life of infrastructure in industries such as oil, gas, construction, renewable energy, and transportation. Traditional inspection methods, being labor‐intensive, hazardous, and often subjective, fall short in addressing modern inspection demands.
Alhossein Alharbi, Yunes Alqudsi, Alhasan Ali Alharbi, Mohammed Basheer Mohiuddin   +3 more
wiley   +1 more source

Detection of Keratoconus through YOLOv8 Region of Interest Preprocessing and Pre-trained Convolutional Neural Networks Using 2D Images

Cyprus Journal of Medical Sciences
BACKGROUND/AIMS: This study presents a methodology for detecting keratoconus using pre-trained convolutional neural network (CNN) models. Five models were evaluated, namely, Xception, InceptionV3, ResNet152, InceptionResNetV2, and EfficientNetV2S ...
Muhammed Sideeq Anwar, Emre Özbilge
doaj   +1 more source

Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron

Remote Sensing in Ecology and Conservation, EarlyView.
This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné, Víctor Sazatornil, Lluís Brotons, Felipe Lumbreras Ruiz, Robert Benavente, Maguiña Ramilo‐Henry, Cristina Ramos, Santiago Palazón, Daniel Ponsa   +8 more
wiley   +1 more source

WASTEWISE: AI-POWERED WASTE EDUCATION FOR ELEMENTARY STUDENTS USING YOLOV8 AND ESP32-CAM

Pilar Nusa Mandiri
The growing volume of global waste poses a significant challenge for effective waste management, particularly in developing countries where awareness and practices around waste sorting remain limited. This study aims to enhance elementary school students'
Kenny Aldi, Yan Rianto
doaj   +1 more source