Results 161 to 170 of about 563,356 (320)

Thermal Safety Margins and Peak Leaf Temperatures Predict Vulnerability of Diverse Plant Species to an Experimental Heatwave

open access: yesPlant, Cell &Environment, EarlyView.
ABSTRACT Extreme heat can push plants beyond their thermal safety margin (TSM) if maximum leaf temperature (Tleaf_max) exceeds leaf critical temperature (Tcrit). The TSM is potentially useful for assessing heat vulnerability across species but needs further validation, so we exposed 50 tree/shrub species in controlled glasshouses to a 6‐day heatwave ...
Diana Cox   +8 more
wiley   +1 more source

Raspberry PI-based personal cloud storage

open access: yes
Кваліфікаційна робота присвячена розробці персонального хмарного сховища на основі Raspberry Pi. В результаті огляду та аналізу сучасних пропозицій хмарного зберігання файлів визначено, що одним із ефективних напрямків є створення власного ...
Kohut, Arsen   +1 more
core  

Adventures in Raspberry Pi

open access: yes, 2015
Start programming quickly with this super-fun guide to Raspberry Pi Adventures in Raspberry Pi, 2nd Edition includes 9 cool projects that show you how to set up and start developing on your Raspberry Pi.
Philbin, Carrie Anne
core  

Observations on the Burrow Structures and Larval Behavior of Ephoron shigae (Takahashi, 1924) (Ephemeroptera: Polymitarcyidae) in River Sediments

open access: yesInternational Review of Hydrobiology, Volume 111, Issue 2, December 2026.
ABSTRACT The larvae of the mayfly Ephoron shigae (Takahashi, 1924) (Ephemeroptera: Polymitarcyidae) inhabit distinctive U‐shaped burrows in river and lake sediments, yet their ecology remains poorly documented. Using newly developed mechatronic technology, we obtained continuous observations that revealed new aspects of larval behavior.
Yuichi Hasuda, Hitoshi Sugiyama
wiley   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang   +12 more
wiley   +1 more source

Meet the Raspberry Pi

open access: yes, 2012
The essential preview guide to getting started with Raspberry Pi ʼ computing and programming Originally conceived of as a fun, easy way for kids (and curious adults) to learn computer programming, the Raspberry Pi quickly evolved into a remarkably ...
Halfacree, Gareth, Upton, Eben
core  

Raspberry Pi based photovoltaic I-V curve tracer. [PDF]

open access: yesHardwareX, 2022
Casado P   +5 more
europepmc   +1 more source

SMART: Speedy Measurement of Arabidopsis Rosette Traits

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Most computer vision‐ and machine learning‐based plant phenotyping systems compute traits such as shape and size rather than the color distribution of the plant surface, even though color can provide important insights into plant physiology. Therefore, we developed Speedy Measurement of Arabidopsis Rosette Traits (SMART), an open‐source plant ...
Suxing Liu   +5 more
wiley   +1 more source

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