Results 231 to 240 of about 109,853 (338)

Identification of Gas Mixture Components with Multichannel Hierarchical Analysis of Time-Resolved Hyperspectral Data. [PDF]

ACS Sens
Choi E, Jeong TI, Nguyen TM, Gliserin A, Lee J, Bak GH, Kim S, Kim S, Oh JW, Kim S.   +9 more
europepmc   +1 more source

FieldDino: Rapid In‐Field Stomatal Anatomy and Physiology Phenotyping

Plant, Cell &Environment, EarlyView.
ABSTRACT Stomatal anatomy and physiology define CO2 availability for photosynthesis and regulate plant water use. Despite being key drivers of yield and dynamic responsiveness to abiotic stresses, conventional measurement techniques of stomatal traits are laborious and slow, limiting adoption in plant breeding.
Edward Chaplin, Guy Coleman, Andrew Merchant, William Salter   +3 more
wiley   +1 more source

Estimation Model for Maize Multi-Components Based on Hyperspectral Data. [PDF]

Sensors (Basel)
Xue H, Xu X, Meng X.
europepmc   +1 more source

FE-MCFN: Fuzzy-Enhanced Multi-Scale Cross-Modal Fusion Network for Hyperspectral and LiDAR Joint Data Classification [PDF]

Shuting Wei, Mian Jia, Junyi Duan
openalex   +1 more source

Viable but Nonculturable State, a Survival Strategy for Salmonella in Aquatic Environments

Water and Environment Journal, EarlyView.
Transition of Salmonella from a culturable state to a viable but nonculturable state under various environmental stresses and current methods for detecting viable Salmonella in environmental samples. ABSTRACT In the relentless battle for survival, Salmonella has evolved mechanisms to withstand harsh conditions such as extreme temperatures, fluctuating ...
Sanelisiwe Thinasonke Duze, Musa Marimani, Katlego Mamabolo, Mrudula Patel   +3 more
wiley   +1 more source

Hyperspectral data of understory elements in boreal forests: In situ and laboratory measurements. [PDF]

Data Brief
Mercier A, Karlqvist S, Hovi A, Rautiainen M.   +3 more
europepmc   +1 more source

Robustness of high‐throughput prediction of leaf ecophysiological traits using near infrared spectroscopy and poro‐fluorometry

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water scarcity is a major threat to crop production and quality. Improving drought tolerance through variety selection requires a deeper understanding of plant ecophysiological responses, but large‐scale phenotyping remains a bottleneck. This study assessed the potential of high‐throughput tools (spectroscopy and poro‐fluorometry) to predict ...
Eva Coindre, Romain Boulord, Laurine Chir, Virgilio Freitas, Maxime Ryckewaert, Thomas Laisné, Virginie Bouckenooghe, Maëlle Lis, Llorenç Cabrera‐Bosquet, Agnès Doligez, Thierry Simonneau, Benoît Pallas, Aude Coupel‐Ledru, Vincent Segura   +13 more
wiley   +1 more source

Water content estimation of conifer needles using leaf-level hyperspectral data. [PDF]

Front Plant Sci
Zhang Y, Wang A, Li J, Wu J.
europepmc   +1 more source

Separating Crested Wheatgrass Using Field Hyperspectral Data in the Native Prairie of Southwestern Saskatchewan

Mohammed Mohammed, D. V. Gross, Yihan Pu, Irini Soubry, Sarula Kang, Xiaomei Li, Xulin Guo   +6 more
openalex   +2 more sources

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

The 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, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source