Results 111 to 120 of about 3,305 (247)

Intelligent Early Warning System of Agricultural Machinery Fault Driven by Edge Computing

WSEAS TRANSACTIONS ON APPLIED AND THEORETICAL MECHANICS
The high-intensity continuous operation of agricultural machinery under complex working conditions is prone to multiple types of failures. Traditional warning systems have problems such as high response delay, insufficient feature representation, and poor resource adaptability, which seriously affect the continuity of operation and equipment life ...
Kaimin Li, Soh Chit Siang, Noor Hidayah Binti Ros Azamin   +2 more
openaire   +1 more source

Integrating machine learning, deep learning, and image analysis for seed species classification

Applications in Plant Sciences, EarlyView.
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth, Eloise Barrett, Rebonto Haque, Ben Wildey, Anthony Hall, Felix Shaw, Jose J. De Vega   +6 more
wiley   +1 more source

Petal to the metal: The slow road to automating large‐scale phenology labeling for herbarium specimens

Applications in Plant Sciences, EarlyView.
Abstract Premise Herbarium specimens represent critical historical records of plant phenology, yet automating annotation of reproductive structures remains challenging given the diversity of floral morphologies, specimen age and quality, and image quality.
Erin L. Grady, Raphael LaFrance, Daijiang Li, Russell Dinnage, Ellen G. Denny, John Deck, Robert P. Guralnick   +6 more
wiley   +1 more source

Intelligent Agricultural Machinery and Field Robots

, 2015
Shufeng Han, Brian L. Steward, Lie Tang
openaire   +1 more source

A Framework for Advancing Intelligent Electrical Agricultural Machinery Technologies in Mountainous Regions

Journal of Electronic Research and Application
The complex terrain of the hilly and mountainous regions in southwestern China presents significant challenges to agricultural mechanization, resulting in a level that is markedly lower than the national average. Focusing on the key development needs for intelligent agricultural machinery in these areas.
openaire   +1 more source

The Role of miRNAs in Chicken Immune Regulation and Prospects for Disease‐Resistant Breeding

Animal Research and One Health, EarlyView.
A schematic workflow illustrating the screening of disease‐resistant miRNAs and the generation of miRNA‐based disease‐resistant chickens via PGC‐mediated germline genome editing. ABSTRACT MicroRNAs (miRNAs) are emerging as pivotal regulators of the immune system, playing a decisive role in shaping disease resistance in chicken.
Qiangzhou Wang, Weiran Wu, Qingqing Cai, Jiaxing Wang, Qi Gao, Muhammad Iftikhar, Yulin Bi, Hao Bai, Lihong Gu, Guobin Chang, Shihao Chen   +10 more
wiley   +1 more source

Design research of an Intelligent Management System for Agricultural Machinery Based on Java

Journal of Life Sciences and Agriculture
With the rapid development of agricultural mechanization and large-scale production, the traditional agricultural machinery management has exposed many drawbacks. Therefore, the agricultural machinery intelligent management system based on Java came into being.
openaire   +1 more source

Engineering Biology Beyond Single Genes: Advances and Challenges in Multiplex Genome Editing

Animal Research and One Health, EarlyView.
Multiplex genome editing is transforming genome engineering from single‐gene perturbation to network‐level control, yet its broader application remains limited by challenges in gRNA array engineering, delivery technologies, and safety management. Emerging AI‐driven approaches are accelerating guide RNA design and CRISPR effector optimization for ...
Linli Wang, Yongbin Liu, Hongbing Han
wiley   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

Fine Particulate Matter Constituents, Ozone, and Systemic Lupus Erythematosus: A Large General‐Population Cohort Analysis With Extended Quantile g‐Computation

Arthritis &Rheumatology, EarlyView.
Objective The aim of this study was to investigate whether exposure to mixture of individual fine particulate matter (PM2.5) chemical constituents is associated with incident systemic lupus erythematosus (SLE) and if ozone modifies this association and/or is associated with SLE onset.
Naizhuo Zhao, Sasha Bernatsky, Sharon Dowell, Brittany Banbury, Jeffrey R. Curtis, Grace C. Wright, Emily E. Holladay, Amy Mudano, Cristiano S. Moura, Gail S. Kerr   +9 more
wiley   +1 more source