Results 81 to 90 of about 54,995 (246)

Made in the shade: Leaf responses of native wildflowers to single‐axis photovoltaic solar energy

PLANTS, PEOPLE, PLANET, EarlyView.
As solar energy expands globally, balancing renewable power generation with biodiversity and ecosystem health has become an urgent challenge. This study investigated how native wildflowers respond at leaf level to the unique microclimates created by rotating solar panels in California's Central Valley.
Yudi Li, Troy Magney, Alona Armstrong, Rebecca R. Hernandez   +3 more
wiley   +1 more source

Using deep learning to assess the toxicological effects of sublethal exposure of a novel green pesticide in a stored‐product beetle

Pest Management Science, EarlyView.
This study employs an AI‐driven multidisciplinary approach to increase our understanding of the toxicological effects of sublethal concentrations of carlina oxide on Prostephanus truncatus. Sublethal exposure to the carlina oxide induced changes in motor patterns and thigmotaxis, highlighting its potential role in integrated pest management strategies.
Anita Casadei, Maria C. Boukouvala, Gianluca Manduca, Nickolas G. Kavallieratos, Filippo Maggi, Marta Ferrati, Eleonora Spinozzi, Cesare Stefanini, Antonio DeSimone, Donato Romano   +9 more
wiley   +1 more source

Water Level Detection and Flood Early Warning System Using Image Processing

Journal of Electrical Engineering and Computer
Image processing is a crucial method in modern technology, enabling computers to analyze and extract information from images or videos. This study focuses on the application of image processing technology to detect river water levels using CCTV cameras ...
Muhammad Akmal Ilmi, I Komang Somawirata, Michael Ardita   +2 more
doaj   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Real‐Time Behavior Recognition Using a Legged Robot for Animal–Robot Interaction

Journal of Field Robotics, EarlyView.
ABSTRACT Animal–robot interaction is an emerging interdisciplinary field that explores the dynamics between animals and robotic systems, as well as the design principles for effective engagement. While previous approaches have investigated animal responses to robotic stimuli, they have yet to integrate artificial intelligence (AI) for real‐time ...
Edoardo Fazzari, Donato Romano, Fabrizio Falchi, Cesare Stefanini   +3 more
wiley   +1 more source

Deep Learning Based Traffic Sign Recognition Using YOLO Algorithm

Düzce Üniversitesi Bilim ve Teknoloji Dergisi
Traffic sign detection has attracted a lot of attention in recent years among object recognition applications. Accurate and fast detection of traffic signs will also eliminate an important technical problem in autonomous vehicles.
Gökalp Çınarer
doaj   +1 more source

Development and Preliminary Evaluation of a Machine Vision‐Guided Smart Sprayer Prototype Toward Precision Vegetable Weeding

Journal of Field Robotics, EarlyView.
ABSTRACT Sustainable weed management necessitates herbicide‐reduced, precision weed control. Recent advancements in machine vision and artificial intelligence (AI) for weed recognition and localization have created new opportunities for high‐precision weeding. Although blanket spraying systems are widely used for weed removal, machine vision‐guided, AI‐
Boyang Deng, Yuzhen Lu, Daniel Brainard
wiley   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Real‑Time Detection and Segmentation of Tomato Pests with YOLOv8

Journal of Agricultural Sciences
Tomato (Solanum lycopersicum L.) is vital for global nutrition and economic stability, yet it is threatened by pests such as Tuta absoluta, Helicoverpa armigera, and Bemisia tabaci. Effective pest management is crucial to prevent significant crop losses.
Yavuz Selim Şahin, Hasan Şahin, Nimet Sema Gençer   +2 more
doaj   +1 more source

Applying computer vision to accelerate monitoring and analysis of bird incubation behaviors: a case study using common eider nest camera footage

Remote Sensing in Ecology and Conservation, EarlyView.
Visualization of the pipeline is divided into two primary segments: automated (i.e., the user adapts the code directly to build a custom computer vision model) and human‐in‐the‐loop (i.e., the user manually evaluates the output of the model). In step 1, raw imagery data are selected for training and testing datasets; ideally, these datasets are ...
Lindsay Veazey, Christopher Latty, Zoey Chapman, Tuula E. Hollmen   +3 more
wiley   +1 more source