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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines.
Sensors (Basel)
January 2025
Department of Environmental Remote Sensing and Geoinformatics, Trier University, Universitätsring 15, 54296 Trier, Germany.
Assessing vines' vigour is essential for vineyard management and automatization of viticulture machines, including shaking adjustments of berry harvesters during grape harvest or leaf pruning applications. To address these problems, based on a standardized growth class assessment, labeled ground truth data of precisely located grapevines were predicted with specifically selected Machine Learning (ML) classifiers (Random Forest Classifier (RFC), Support Vector Machines (SVM)), utilizing multispectral UAV (Unmanned Aerial Vehicle) sensor data. The input features for ML model training comprise spectral, structural, and texture feature types generated from multispectral orthomosaics (spectral features), Digital Terrain and Surface Models (DTM/DSM- structural features), and Gray-Level Co-occurrence Matrix (GLCM) calculations (texture features).
View Article and Find Full Text PDFComparative Analysis of Prediction Models for Trawling Grounds of the Argentine Shortfin Squid in the Southwest Atlantic High Seas Based on Vessel Position and Fishing Log Data.
Biology (Basel)
January 2025
Key Laboratory of Oceanic and Polar Fisheries, Ministry of Agriculture and Rural Affairs, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China.
To evaluate and compare the effectiveness of prediction models for Argentine squid trawling grounds in the Southwest Atlantic high seas based on vessel position and fishing log data, this study used AIS datasets and fishing log datasets from fishing seasons spanning 2019-2024 (December to June each year). Using a spatial resolution of 0.1° × 0.
View Article and Find Full Text PDFHow is maternal employment associated with infant and young child feeding in Bangladesh? A systematic literature review and meta-analysis.
PLoS One
January 2025
Department of Clinical Sciences, Health Economics Unit, Lund University, Lund, Sweden.
Background: In the last three decades, the increasing trend in female employment in Bangladesh has been critically analyzed from a socioeconomic point of view; however, its impact on infant and young child feeding (IYCF) practices has yet to be systematically reviewed. The aim of this systematic review and meta-analysis is to investigate the association between these variables.
Methods: A systematic literature search was conducted in PubMed, Medline, Web of Science, Embase, CINAHL, and Google Scholar to retrieve relevant records with no restriction of publication period.
An infodemiologic review of internet resources on dental hypersensitivity: A quality and readability assessment.
PLoS One
January 2025
Substitutive Dental Sciences Department (Prosthodontics), College of Dentistry, Taibah University, Al Madinah, Saudi Arabia.
Background: This study aimed to investigate the quality and readability of online English health information about dental sensitivity and how patients evaluate and utilize these web-based information.
Methods: The credibility and readability of health information was obtained from three search engines. We conducted searches in "incognito" mode to reduce the possibility of biases.
Introducing the Concept of Hypertensive Heart Disease to Improve Hypertensive Left Ventricular Hypertrophy.
Curr Vasc Pharmacol
January 2025
Department for Cardiovascular Diseases, Institute of Cardiovascular diseases Sremska Kamenica, Sremska Kamenica, Serbia.
Background: Among the organ damage mediated by hypertension, cardiac lesions hold significant importance. Numerous authors focus on hypertensive heart disease (HHD) rather than exclusively on left ventricular hypertrophy (LVH).
Objective: This narrative review aims to assess the incorporation of the concept of 'hypertensive heart disease' (HHD) in hypertension (HTN) guidelines.
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