Results 121 to 130 of about 100,582 (216)

Effects of timed LED regimes on tomato plant traits, performance of two‐spotted spider mites, and predatory mites (Phytoseiulus persimilis)

open access: yesPest Management Science, Volume 81, Issue 4, Page 2300-2311, April 2025.
Light‐emitting diode (LED)‐based treatments for enhancing crop production and pest management have primarily focused on continuous treatments. This study, using Tetranychus urticae and Phytoseiulus persimilis, demonstrates that the timing of LED supplementation is crucial for designing integrated pest management strategies that improve both plant ...
Patrice Savi   +5 more
wiley   +1 more source

Structure of giant kelp Photosystem I-FCP uncovers drivers of antenna evolution across the red lineage. [PDF]

open access: yesNat Commun
Weissman JD   +7 more
europepmc   +1 more source

The continuing significance of chiral agrochemicals

open access: yesPest Management Science, Volume 81, Issue 4, Page 1697-1716, April 2025.
In the time frame 2018–2023, around 43% of the 35 chiral agrochemicals introduced to the market (herbicides, fungicides, insecticides, acaricides, and nematicides) contain one or more stereogenic centers in the molecule, and almost 69% of them have been marketed as racemic mixtures of enantiomers or stereoisomers.
Peter Jeschke
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law   +10 more
wiley   +1 more source

Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Using drone‐based hyperspectral images of mixed temperate successional forests collected over a growing season, detection algorithms were produced for three invasive species of interest, which are not only invasive in Virginia but also much of the U.S.: Ailanthus altissima (tree of heaven), Elaeagnus umbellata (autumn olive), and Rhamnus davurica ...
Kelsey S. Huelsman   +3 more
wiley   +1 more source

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