Results 121 to 130 of about 98,568 (293)
Thermal infrared hyperspectral images (TIR-HSIs) provide unique spectral insights that are often unattainable with visible imagery, making them invaluable for applications such as land cover classification and geological mapping.
Enyu Zhao +4 more
doaj +1 more source
Abstract Worldwide, lacustrine ecosystems are threatened by eutrophication and deoxygenation. Both processes are driven by the combined effects of human activities and climate change. Understanding the pre‐anthropogenic nexus between warming, eutrophication, deoxygenation, and related feedback is essential to determine how lakes respond to rapid ...
Noé R.M.M. Schmidhauser +7 more
wiley +1 more source
Illuminating Streptomyces: Raman Spectroscopy for Antibiotic Detection and Monitoring
Raman spectroscopy provides a non‐destructive, label‐free approach for studying the chemical diversity of Streptomyces. This review presents its application from detection to chemical characterization of secondary metabolites and monitoring of biosynthetic processes.
Adéla Mikulová +6 more
wiley +1 more source
Development of a new spectral library classifier for airborne hyperspectral images on heterogeneous environments [PDF]
The classification of hyperspectral images on heterogeneous environments without prior knowledge about the study area is a challenging task. Finding potential pure spectral signatures or endmembers (EM) of the various surface materials within an image is
Mende, Andre +4 more
core
Abstract Mycotoxins remain a persistent threat to the safety and quality of cereal grains and other agricultural products, and their impact on human health continues to raise global concerns. In many situations, the practices traditionally used to control these toxins are no longer sufficiently effective. They can be costly, difficult to implement on a
Abolfazl Asqardokht‐Aliabadi +2 more
wiley +1 more source
The accurate and effective monitoring of rice nitrogen status using hyperspectral datasets and estimation models is important for precision agriculture and intelligent breeding.
Zhonglin Wang +11 more
doaj +1 more source
Assessing plant water status: Part 1 – Classical methods
Abstract As a result of the changing climate, water scarcity poses a significant threat to crop and pasture production. Although soil water content can indicate drought, its measurements often provide limited spatial resolution and are weakly correlated with plant water status, producing misleading drought assessments.
Naila Farooq +7 more
wiley +1 more source
Measuring and modelling parameters from hyperspectral sensors for site-specific crop protection [PDF]
This thesis sought to optimise systems for plant protection in precision agriculture through developing a field method for estimating crop status parameters from hyperspectral sensors, and an empirical model for estimating the required herbicide dose in ...
Larsolle, Anders
core +1 more source
Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq +7 more
wiley +1 more source
Abstract BACKGROUND This study developed an explainable machine learning framework integrating morphological, color, and biochemical characteristics for classifying chia (Salvia hispanica L.) genotypes. A dataset was assembled from 1200 seed images spanning four genotypes, from which 17 morphological and color features were extracted.
Sevim Akcura +3 more
wiley +1 more source

