Results 241 to 250 of about 112,356 (331)

Aging blow fly pupae using hyperspectral imaging

, 2015
Sasha C. Voss, P.A. Magni, Christian Nansen, G. Flematti, Ian R. Dadour   +4 more
openalex   +1 more source

Additional file 4 of Assisting species differentiation and taxonomic classification by hyperspectral imaging: an example from the parasitic plant realm

Vasili A Balios, Samuel Ortega, Karsten Heia, Anna Avetisyan, Kirsten Krause   +4 more
openalex   +1 more source

Hyperspectral image acquisition, estimation, and feature extraction of complex and textured surfaces

, 2020
Arash Mirhashemi
openalex   +1 more source

Unmanned aerial vehicle–based spatiotemporal phenotyping and growth modeling for forecasting potato yield

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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, Kunihiro Tanaka, Minato Miyauchi, Kyosuke Miyamoto, Masahiro Okada, Pieter M. Blok, Wei Guo, Hiroyoshi Iwata   +7 more
wiley   +1 more source

Chick embryo development assessment and fertility detection using pixel-wise hyperspectral image analysis and deep learning. [PDF]

Poult Sci
Ghaderi M, Mireei SA, Masoumi A, Sedghi M, Nazeri M.   +4 more
europepmc   +1 more source

A Bayesian model for joint unmixing and robust classification of hyperspectral image

, 2018
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon   +3 more
openalex  

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

Onboard Real-Time Hyperspectral Image Processing System Design for Unmanned Aerial Vehicles. [PDF]

Sensors (Basel)
Yang R, Huang M, Zhao W, Zhang Z, Sun Y, Qian L, Wang Z.   +6 more
europepmc   +1 more source

Spatial relationship of turfgrass tissue nitrogen content and several vegetation indices on sand‐capped golf course fairways

Agrosystems, Geosciences &Environment, Volume 9, Issue 2, June 2026.
Abstract Vegetation indices (VIs), such as normalized difference vegetation index (NDVI), are widely used to assess nitrogen (N) status in crop systems and are gaining interest in turfgrass management. However, most studies have been conducted in controlled settings, and their relevance under real‐world golf course conditions remains unclear.
Madan Sapkota, Opeyemi E. Alabi, Weston W. Floyd, Sarah G. Hong, Dallas M. Williams, Briana M. Wyatt, A. Peyton Smith, Chase M. Straw   +7 more
wiley   +1 more source