Results 121 to 130 of about 36,292 (261)

Vegetation Indices for Early Grey Mould Detection in Lettuce Grown under Different Lighting Conditions. [PDF]

open access: yesPlants (Basel), 2023
Kupčinskienė A   +5 more
europepmc   +1 more source

Comprehensive Characterization of Acer truncatum Leaf Extract: Identification of Systemic Metabolites and Effects on Performance, Antioxidant Status, and Intestinal Microbiota in Laying Hens

open access: yesAnimal Research and One Health, EarlyView.
Dietary A. truncatum leaf extract is absorbed and improves laying performance in aged hens by enhancing systemic antioxidant capacity and modulating the gut microbiota. ABSTRACT The demand for natural feed additives is considerably increasing in the antibiotic‐free feed era.
Kailong Qin   +6 more
wiley   +1 more source

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban   +13 more
wiley   +1 more source

A Geomorphometric Approach to Estimate the Deterioration of Earthen Archaeological Sites by Rainfall and Diffusion Processes: The Huaca Chornancap (Eighth–14th Century ad), Lambayeque, Peru

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Rain‐induced erosion processes can severely damage Earthen archaeological sites. Huaca Chornancap (HCH; eighth–14th century ad) is a platform located in the Lambayeque region (Peru) exposed to seasonal rain due to El Niño Southern Oscillation (ENSO).
Luigi Magnini   +5 more
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

open access: yesArchaeological 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   +4 more
wiley   +1 more source

Field-scale evaluation of satellite-derived vegetation indices and image timing for in-season nitrogen management in corn. [PDF]

open access: yesFront Plant Sci
Morales-Ona A   +7 more
europepmc   +1 more source

Integrating Remote Sensing, Archaeological Survey and Geophysical Prospections for the Enhancement of Roman Doclea, Montenegro

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT The Roman city of Doclea is a key archaeological site of Montenegro, valued for its impressive remains and its role in the nation's cultural identity within European and the Mediterranean history. Doclea was the second‐largest city in the province of Roman Dalmatia, a municipium created in the first century ad and named after the Illyrian ...
Tatjana Koprivica   +5 more
wiley   +1 more source

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