Results 61 to 70 of about 12,860 (253)

UAV-Based Multi-Label Weed Detection for Site-Specific Weed Management Using a Multi-Scale Convolutional Attention Network

Agronomy
Accurate weed detection is essential for site-specific weed management because uncontrolled weeds compete with crops for water, nutrients, light, and growing space, while uniform herbicide application increases production costs and environmental pressure.
Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi   +2 more
doaj   +1 more source

Rumex Weed Classification Using Region-Convolution Neural Networks Based-Colour Space Information

Inteligencia Artificial, 2023
Weed detection is considered the gold standard in smart agriculture field. An automated detection of weed procedure is a complicated task, specifically detection of Rumex weed due to different real-world environmental conditions, including illumination,
Saleh Nazal, Khamael Al-Dulaimi
doaj  

Success of coastal sage scrub restoration is influenced by local adaptations of shrub species

American Journal of Botany, EarlyView.
Abstract Premise Restoring plant communities is increasingly challenging with climate change. While practitioners have traditionally used local seed sources, many are recommending assisted migration, possibly from more extreme environments such as inland rather than coastal environments, for restoration.
Moises R. Perea‐Vega, Megan E. Lulow, Julie E. Coffey, Amy K. Henry, Katharina T. Schmidt, Priscilla M. Ta, Kailen A. Mooney, Sarah Kimball   +7 more
wiley   +1 more source

Multi-class weed detection based on deep learning using unmanned aerial vehicle images in potato fields

Open Computer Science
Early weed detection is a critical task in precision agriculture, as weeds compete with crops for resources and significantly reduce yield and quality. This study proposes a multi-class weed detection approach based on deep learning using unmanned aerial
Sandoval-Pillajo Lucía, Perugachi-Chávez Luis, Pusdá-Chulde Marco, Giret-Boggino Adriana, García-Santillán Iván   +4 more
doaj   +1 more source

Evolutionary history and taxonomy of the genus Zea

American Journal of Botany, EarlyView.
Abstract Premise Taxonomic differentiation of teosinte species (Zea spp.), the closest relatives of maize (Z. mays) is crucial for understanding their distribution, ecology, and evolutionary history. Resolving the taxonomic uncertainties is of scientific interest and has practical implications for biodiversity management, preservation, and utilization.
José de Jesús Sánchez González, Lino De La Cruz Larios, José A. Ruiz‐Corral, Benjamín Hernández, Diana M. Rivera‐Rodríguez   +4 more
wiley   +1 more source

MKD8: An Enhanced YOLOv8 Model for High-Precision Weed Detection

Agriculture
Weeds are an inevitable element in agricultural production, and their significant negative impacts on crop growth make weed detection a crucial task in precision agriculture.
Wenxuan Su, Wenzhong Yang, Jiajia Wang, Doudou Ren, Danny Chen   +4 more
doaj   +1 more source

NO NĀ PUA: Exploring the feasibility of culture‐based social prescribing on firefighters' wellbeing in Hawaiʻi

American Journal of Community Psychology, EarlyView.
Abstract Firefighters face an array of stressors due to the demands of their occupation, leading to a high prevalence of mental health challenges. Social prescribing represents a novel approach to healthcare that emphasizes a holistic view of health and wellbeing.
Janice Ikeda, Margary Martin, Misty Pacheco   +2 more
wiley   +1 more source

HAD-YOLO: An Accurate and Effective Weed Detection Model Based on Improved YOLOV5 Network

Agronomy
Weeds significantly impact crop yields and quality, necessitating strict control. Effective weed identification is essential to precision weeding in the field.
Long Deng, Zhonghua Miao, Xueguan Zhao, Shuo Yang, Yuanyuan Gao, Changyuan Zhai, Chunjiang Zhao   +6 more
doaj   +1 more source

Remote Sensing for Weed Detection and Control

CoRR
5 pages, 3 ...
Ishita Bansal, Peder A. Olsen, Roberto Estevão   +2 more
openaire   +2 more sources

General Practice Utilisation for Adults With Neurological Disability Who Are National Disability Insurance Scheme Participants in Australia

Australian Journal of Social Issues, EarlyView.
ABSTRACT Most adults with neurological disability rely on general practitioners for managing and preventing health complications. This study analysed patterns of general practice service utilisation among National Disability Insurance Scheme (NDIS) participants with neurological disability and compared these with people who are not NDIS participants ...
Stacey Oliver, Robin A. Ramme, Avinash Kondiboyina, Karina Gardner, Adam McLeod, Stephen Weeding, Christopher Pearce, Jacinta Douglas, Di Winkler   +8 more
wiley   +1 more source