Results 81 to 90 of about 223,998 (212)
Affordable Phenomics special topic—Foreword for The Plant Phenome Journal
Abstract The Affordable Phenomics special topic in The Plant Phenome Journal showcased recent advances that expand the accessibility, cost‐effectiveness, and scalability of plant phenotyping technologies. This collection of 15 articles presented innovative approaches, ranging from low‐cost sensors and open‐source analytical pipelines to artificial ...
Valerio Hoyos‐Villegas +1 more
wiley +1 more source
HSLiNets: Evaluating Band Ordering Strategies in Hyperspectral and LiDAR Fusion [PDF]
The integration of hyperspectral imaging (HSI) and Light Detection and Ranging (LiDAR) data provides complementary spectral and spatial information for remote sensing applications.
Zhou, Jun +5 more
core +1 more source
Wavelet based segmentation of hyperspectral colon tissue imagery [PDF]
Segmentation is an early stage for the automated classification of tissue cells between normal and malignant types. We present an algorithm for unsupervised segmentation of images of hyperspectral human colon tissue cells into their constituent parts by ...
Rajpoot, Nasir M. (Nasir Mahmood) +1 more
core +1 more source
Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe +3 more
wiley +1 more source
Integration of hyperspectral and LiDAR data for mapping small water bodies
Inland water bodies are globally threatened by environmental degradation and climate change. On the other hand, new water bodies can be designed during landscape restoration (e.g. after coal mining).
Jiří Prošek +6 more
doaj +1 more source
Abstract Monitoring spatial variations in plant growth and forecasting yield before harvest provides valuable insights for optimizing agronomic decision‐making in potato (Solanum tuberosum L.) cultivation. Although unmanned aerial vehicle (UAV)‐based remote sensing has recently enabled the development of tuber fresh weight (TW) estimation models, their
Yuto Imachi +7 more
wiley +1 more source
Genomic and phenomic prediction models improve selection accuracy for complex traits in alfalfa
Abstract Predictive breeding has been proposed as an effective approach to accelerate genetic gain for complex traits. Genomic prediction (GP) models have been developed in alfalfa (Medicago sativa L.) for key traits in the last decade. More recently, phenomic prediction (PP) models have been proposed as a low‐cost, high‐throughput alternative to GP in
Pablo Sipowicz +8 more
wiley +1 more source
Singular spectrum analysis for effective feature extraction in hyperspectral imaging [PDF]
As a very recent technique for time series analysis, Singular Spectrum Analysis (SSA) has been applied in many diverse areas, where an original 1D signal can be decomposed into a sum of components including varying trends, oscillations and noise ...
Zabalza, Jaime +4 more
core +1 more source
UAV LiDAR and digital aerial photogrammetry (DAP) have shown great performance in forest inventory due to their advantage in three-dimensional information extraction.
Qixia Man +10 more
doaj +1 more source
ABSTRACT Corrosion remains a critical threat to the integrity and service life of infrastructure in industries such as oil, gas, construction, renewable energy, and transportation. Traditional inspection methods, being labor‐intensive, hazardous, and often subjective, fall short in addressing modern inspection demands.
Alhossein Alharbi +3 more
wiley +1 more source

