Results 61 to 70 of about 4,539 (169)

Improving the Accuracy of Seasonal Crop Coefficients in Grapevine from Sentinel-2 Data

open access: yesRemote Sensing
Accurate assessment of a crop’s water requirement is essential for optimising irrigation scheduling and increasing the sustainability of water use. The crop coefficient (Kc) is a dimensionless factor that converts reference evapotranspiration (ET0) into ...
Diego R. Guevara-Torres   +4 more
doaj   +1 more source

β‐Catenin/c‐Myc Axis Modulates Autophagy Response to Different Ammonia Concentrations

open access: yesAdvanced Biology, Volume 9, Issue 3, March 2025.
Ammonia, detoxified by the liver into urea and glutamine, impacts autophagy differently at varying levels. Low ammonia activates autophagy via c‐Myc and β‐catenin, while high levels suppress it. Using Huh7 cells and Spf‐ash mice, c‐Myc's role in cytoprotective autophagy is revealed, offering insights into hyperammonemia and potential therapeutic ...
S. Sergio   +11 more
wiley   +1 more source

Multi-Sensor NDVI Fusion for Daily Crop Evapotranspiration Mapping: A Six-Year Irrigated Maize Assessment Using MODIS–Sentinel-2–Landsat (2020–2025)

open access: yesSensors
Accurate crop evapotranspiration (ETc) estimation at high spatial and temporal resolution remains a major challenge for precision irrigation. This study presents a multi-sensor data fusion framework combining daily MODIS (250 m), Sentinel-2 (10 m), and ...
Zsolt Zoltán Fehér   +2 more
doaj   +1 more source

Air‐Pressure–Actuated Vibroacoustic Metamaterial With Tunable Bandgap: Design, Modeling, and Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal   +2 more
wiley   +1 more source

Sentinel-2 and Unmanned Aerial Vehicle (UAV) Imagery for Irrigation Scheduling in Fodder Maize: A Comparative Remote Sensing Approach

open access: yesPlants
Accurate estimation of crop water requirements is essential to improve irrigation efficiency for forage maize production. This study compared satellite- and UAV-derived normalized difference vegetation index (NDVI) models for estimating crop coefficients
Nuria Aide López Hernández   +5 more
doaj   +1 more source

Development of relationship between crop coefficient and NDVI using geospatial technology

open access: yesJournal of Agrometeorology, 2016
In the present study, potential evapotranspiration (PET) is estimated using geographic information system (GIS) and remote sensing (RS) data. Linear imaging self-scanning sensor (LISS-III) satellite images of Tapi river basin area were used in the ...
PAWAN N. BHAVSAR, JAYANTILAL N. PATEL
doaj   +1 more source

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

Estimation and verification of autumn lettuce evapotranspiration in greenhouse based on single crop coefficient method

open access: yesGuan'gai paishui xuebao
【Objective】 The variation in evapotranspiration is an important parameter in irrigation design. In this paper, we propose and verify a modified single crop coefficient method to calculate the evapotranspiration of greenhouse lettuce.
WU Jiale   +5 more
doaj   +1 more source

Crop water requirement (ETc) of different crops of middle Gujarat

open access: yesJournal of Agrometeorology, 2016
Accurate estimation of crop water requirements (ETc) of any crop is essentially required for irrigation scheduling and water management. The present study was undertaken to estimate the crop water requirement (ETc) of ten major crops (rice, wheat, maize,
RASHMI MEHTA, VYAS PANDEY
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

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