Results 171 to 180 of about 3,413,140 (351)

A Smart Camera With Integrated Deep Learning Processing for Disease Detection in Open Field Crops of Grape, Apple, and Carrot

Journal of Field Robotics, EarlyView.
ABSTRACT Downy mildew (Plasmopara), apple scab (Venturia inaequalis), and Alternaria leaf blight are endemic diseases that affect crops worldwide. The diseases can cause severe losses in grapes, apples and carrots when not detected and treated in an early stage.
Gerrit Polder, Pieter M. Blok, Tim van Daalen, Joseph Peller, Nikos Mylonas   +4 more
wiley   +1 more source

Association between severe cyclone events and birth outcomes in Queensland, Australia, 2008–2018: a population based retrospective cohort study

Australian and New Zealand Journal of Public Health, Volume 46, Issue 6, Page 835-841, December 2022., 2022
Abstract Objective: Investigate an association between severe tropical cyclones (TCs) and birth outcomes in an Australian population. Methods: We analysed over 600,000 singleton livebirths collected through the Queensland Perinatal Data Collection between 2008 and 2018.
Cynthia Parayiwa, David Harley, Robert Clark, Alison Behie, Aparna Lal   +4 more
wiley   +1 more source

Research on the Training System Construction of Meteorological Higher Talents for Lifelong Education

, 2022
Chengkun Xie
openalex   +2 more sources

Examining wildfire dynamics using ECOSTRESS data with machine learning approaches: the case of South‐Eastern Australia's black summer

Remote Sensing in Ecology and Conservation, EarlyView.
Australia experienced one of the most devastating and intense wildfire seasons on record in 2019–2020. One challenge is to create effective models to identify areas prone to wildfires and understand the vulnerable conditions that will lead to these catastrophic events.
Yuanhui Zhu, Shakthi B. Murugesan, Ivone K. Masara, Soe W. Myint, Joshua B. Fisher   +4 more
wiley   +1 more source

Weather extremes associated with increased Ross River virus and Barmah Forest virus notifications in NSW: learnings for public health response

Australian and New Zealand Journal of Public Health, Volume 46, Issue 6, Page 842-849, December 2022., 2022
Abstract Objective: To examine the sequence of environmental and entomological events prior to a substantial increase in Ross River virus (RRV) and Barmah Forest virus (BFV) notifications with a view to informing future public health response. Methods: Rainfall, tidal, mosquito and human arboviral notification data were analysed to determine the ...
Neil J. Hime, Meredith Wickens, Stephen L. Doggett, Kazi Rahman, Cheryl Toi, Cameron Webb, Aditya Vyas, Kishen Lachireddy   +7 more
wiley   +1 more source

YingLong-weather: AI-Based Limited Area Models for Forecasting of Non-precipitation Surface Meteorological Variables [PDF]

arXiv
Recently, artificial intelligence-based (AI-based) models for forecasting of global weather have been rapidly developed. Most of the global models are trained on reanalysis datasets with a spatial resolution of 0.25{\deg}*0.25{\deg}. However, research on AI-based high spatial resolution limited area weather forecasting models remains limited.
arxiv  

Illuminating the Arctic: Unveiling seabird responses to artificial light during polar darkness through citizen science and remote sensing

Remote Sensing in Ecology and Conservation, EarlyView.
Artificial light at night (ALAN) has global impacts on animals, yet its effects in polar regions remain underexplored. In this study, we analyzed a decade of citizen science data on seabird occurrences in Longyearbyen, using remote sensing data to assess the impact of ALAN during the polar night.
Kaja Balazy, Dariusz Jakubas, Andrzej Kotarba, Katarzyna Wojczulanis‐Jakubas   +3 more
wiley   +1 more source

The effects of wheat‐pea mixed intercropping on biocontrol potential of generalist predators in a long‐term experimental trial

Annals of Applied Biology, Volume 182, Issue 1, Page 37-47, January 2023., 2023
In the present study, we investigated the effects of mixed intercropping winter wheat‐winter pea on activity density and biocontrol potential of epigeal generalist predators. We show that mixed intercropping wheat and pea may represent a valid strategy to favour generalist predators and support conservation biological control compared to wheat ...
Giovanni Antonio Puliga, Donatienne Arlotti, Jens Dauber   +2 more
wiley   +1 more source

Advancing Meteorological Forecasting: AI-based Approach to Synoptic Weather Map Analysis [PDF]

arXiv
As global warming increases the complexity of weather patterns; the precision of weather forecasting becomes increasingly important. Our study proposes a novel preprocessing method and convolutional autoencoder model developed to improve the interpretation of synoptic weather maps.
arxiv  

Quantifying nocturnal bird migration using acoustics: opportunities and challenges

Remote Sensing in Ecology and Conservation, EarlyView.
In this study, we explore three migration intensity measures derived from acoustic recordings, that is, bird call and passage rates, and species diversity, for their usefulness in quantifying nocturnal bird migration rates at three taxonomic levels: birds, passerines and thrushes, as estimated by a dedicated bird radar. Bird passage rates, that is, the
Siméon Béasse, Louis Sallé, Paul Coiffard, Birgen Haest   +3 more
wiley   +1 more source