Results 101 to 110 of about 10,168 (223)

Real-Time Posture Monitoring for Effective Exercise Using MediaPipe Python

Journal of Informatics and Web Engineering
Maintaining proper posture during exercise is crucial for preventing injuries and maximizing workout efficiency. This project aims to develop a real-time posture monitoring system using MediaPipe and OpenCV to provide instant feedback on the exercise ...
Wan Izzul Wafiq Wan Noor Asmawi, S. Prabha Kumaresan   +1 more
doaj   +1 more source

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan, Valerio Hoyos‐Villegas   +1 more
wiley   +1 more source

High‐throughput image‐based phenotyping of soybean hilum color

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Hilum color in soybean (Glycine max [L.] Merr.) is an important morphological trait influencing market classification and seed quality traits, yet its phenotyping is largely subjective, relying on visual inspection and assignment to one of eight color classes. This study developed an image‐based high‐throughput pipeline to measure and classify
Katherine Fortune, Ali Heidari, Milad Eskandari   +2 more
wiley   +1 more source

AGIcam: An open‐source Internet of Things–based camera system for automated in‐field phenotyping and yield prediction

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Continuous, high‐frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the temporal resolution and automation required for consistent, season‐long trait assessment.
Worasit Sangjan, Nisit Pukrongta, Trevor Buchanan, Arron H. Carter, Michael O. Pumphrey, Sindhuja Sankaran   +5 more
wiley   +1 more source

Automatic measurement of rice tiller angle from unmanned aerial vehicle images

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Rice (Oryza sativa L.) tiller angle is an important trait that influences plant architecture, canopy light interception, and yield potential. In this study, we proposed a deep learning‐based pipeline for automated measurement of rice tiller angle and plant base width using unmanned aerial vehicle (UAV) imagery.
Tan‐Hanh Pham, Yubin Yang, Jing Zhang, Sanai Li, Stanley Omar P. B. Samonte, Fugen Dou, Darlene Sanchez, Lloyd T. Wilson, Tanumoy Bera, Jing Wang, Kim‐Doang Nguyen   +10 more
wiley   +1 more source

BerryBox: An affordable computer vision system for postharvest phenotyping of cranberry and other small fruits

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Fruit size, shape, color, and percent fruit rot are important quality traits for breeding cranberry (Vaccinium macrocarpon Ait.). Image analysis can be used to measure these traits, but affordable hardware for standardized image capture and integrated user‐friendly software pipelines are lacking.
Jeffrey L. Neyhart, Collins Wakholi, Devin A. Rippner, John H. Price, Kayla R. Altendorf, Garett C. Heineck, Juan Zalapa, Jenyne Loarca, Gina M. Sideli   +8 more
wiley   +1 more source

LaZeTrack: An open‐source object detection algorithm to detect and track 2‐day‐old zebrafish motor touch responses

Quantitative Biology, Volume 14, Issue 3, September 2026.
Abstract Zebrafish are a model organism used for the study of vertebrate development, disease, and drug discovery. Two‐day old zebrafish exhibit burst swimming behavior that can be elicited by a light touch to the tail. Motor touch responses are frequently video‐recorded and later analyzed by hand.
Adrien Lacroix, Gary Alan Barclay Armstrong   +1 more
wiley   +1 more source

Dual Encoder DCNN for Efficient and Robust Segmentation of Retinal Vascular Tree From Fundus Images

International Journal of Imaging Systems and Technology, Volume 36, Issue 4, July 2026.
ABSTRACT Retinal vessel segmentation is a critical step for the diagnosis and monitoring of ocular and cardiovascular diseases. Despite advances in medical imaging, achieving accurate segmentation across varying fundus image resolutions remains challenging.
Henda Boudegga, Yaroub Elloumi
wiley   +1 more source

Machine Learning‐Driven Capillary Microfluidic Design Automation for Programmable Gradient Generation and Antimicrobial Testing

Small, Volume 22, Issue 37, 2 July 2026.
TCG‐CMDA, a machine learning‐guided capillary microfluidic design automation platform, enables automated design of tree‐shaped concentration gradient generators for programmable mixing of two agents. The pump‐free chip supports synchronized passive flow and programmable gradient formation, providing a practical framework for decentralized point‐of‐care
Mahmood Khalghollah, Azam Zare, Sorosh Abdollahi, Behrouz H. Far, Amir Sanati Nezhad   +4 more
wiley   +1 more source

Finding Fireballs in Lightning: A Daily Pipeline to Find Meteors in Weather Satellite Data

Earth and Space Science, Volume 13, Issue 7, July 2026.
Abstract Weather satellite data contains a wealth of information well beyond its application to meteorology. The GOES weather satellite Geostationary Lightning Mapper instruments detect millions of lightning strikes per day. Within these “haystacks” of lightning are a handful of “needles” of bolides (aka bright fireballs, or exploding meteors). We have
Jeffrey C. Smith, Robert L. Morris, Jessie Dotson, Randolph Longenbaugh, Jeffrey R. Olson, Anthony Ozerov, Daniel Fox   +6 more
wiley   +1 more source