Results 141 to 150 of about 189,164 (223)

Hyperspectral Imaging for Characterization of Lithic Raw Materials: The Case of a Mesolithic Dwelling in Northern Sweden [PDF]

, 2018
Claudia Sciuto, Paul Geladi, Lorenza La Rosa, Johan Linderholm, Mikael Thyrel   +4 more
openalex   +1 more source

Phenotypic scoring of canola blackleg severity using machine learning image analysis

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu, Sarah Anderson, Stuart Gardner, Thomas W. Ernst, Chadwick B. Koscielny, Navratan S. Bahia, Charles G. Johnson Jr, Andrew C. Jarvis, Joseph S. Hynek, Nathan Coles, Igor Falak, David R. Charne, Manuel E. Ruidiaz, Julien Linares, Anastasios Mazis, Daniel J. Stanton   +15 more
wiley   +1 more source

Age Prediction of Hematoma from Hyperspectral Images Using Convolutional Neural Networks. [PDF]

J Imaging
Keshavarz A, Bieber G, Wulff D, Babian C, Lüdtke S.   +4 more
europepmc   +1 more source

Nonparametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Wooded Landscapes

, 2015
Juheon Lee, Xiaohao Cai, Carola‐Bibiane Schönlieb, David A. Coomes   +3 more
openalex   +1 more source

Deriving seasonal dynamics in ecosystem properties of semi-arid savanna grasslands from in situ-based hyperspectral reflectance [PDF]

, 2015
Torbern Tagesson, Rasmus Fensholt, S. Huber, Stéphanie Horion, Idrissa Guiro, Andrea Ehammer, Jonas Ardö   +6 more
openalex   +1 more source

PlantCV v4: Image analysis software for high‐throughput plant phenotyping

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract PlantCV is an open‐source Python project aimed at developing tools to address a range of image‐based, plant phenotyping questions. PlantCV has been used for more than 10 years to automate trait collection from image data, and the newest release, PlantCV version 4, continues to lower the barrier to entry for users without substantial coding ...
Haley Schuhl, Keely E. Brown, Hudanyun Sheng, Parag K. Bhatt, Jorge Gutierrez, Dominik Schneider, Anna L. Casto, Lucia Acosta‐Gamboa, Joe G. Ballenger, Fabio Barbero, Jackson Braley, Autumn M. Brown, Leonardo Chavez, Shannon Cunningham, Malinda Dilhara, Adam M. Dimech, Joseph G. Duenwald, Annika Fischer, Jared M. Gordon, Chloe Hendrikse, Gabriela L. Hernandez, John G. Hodge, Martina Huber, Brandon M. Hurr, Sanaz Jarolmasjed, Karina Medina Jimenez, Samuel Kenney, Grant Konkel, Alexander Kutschera, Sunita Lama, Matthew Lohbihler, Argelia Lorence, Collin Luebbert, Nathaniel Ly, Heather K. Manching, Annarita Marrano, Susan Meerdink, Nicholas M. Miklave, Pavan Mudrageda, Katherine M. Murphy, J. David Peery, Ronald Pierik, Seth Polydore, Caleb Robey, Tess Rogers, Tyler J. Schultz, Eliza Seigel, Dhiraj Srivastava, Stephan Summerer, Josh Sumner, Chong Teng, Adriane E. Thompson, Jose C. Tovar, Tim van Daalen, Mark Watson, John J. Wheeler, Mark C. Wilson, Kaitlyn R. Ying, Alina Zare, Yutai Zhou, Malia A. Gehan, Noah Fahlgren   +61 more
wiley   +1 more source

A hyperspectral imaging and machine learning approach for rapid and non-invasive diagnosis of cassava bacterial blight. [PDF]

Front Plant Sci
Carvalho ICB, Ferreira LDC, Neves ARM, Carvalho AMS, Lima HPR, Rossato M.   +5 more
europepmc   +1 more source

Determining Absorption and Scattering Coefficients by Optimizing Radiative Transfer Modelling with In-Situ Coastal Hyperspectral Reflectance Spectra

Adriënne Esmeralda Oudijk, Janina Osanen, Asmita Singh, Vishnu Perumthuruthil Suseelan, Nicolás Sánchez, Anne-Marthe Hvammen Sikkerbøl, Glaucia M. Fragoso, Marco Celesti, Jens Nieke, Tor Arne Johansen, Morten Omholt Alver   +10 more
openalex   +1 more source

A systematic color correction pipeline for controlled‐environment imaging

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
ABSTRACT We present a stepwise color correction (CC) pipeline for controlled imaging environments. The workflow integrates flat‐field correction (FFC), gamma correction, and white‐balance correction, followed by a color‐mapping (CM) stage using machine‐learning regression—linear, partial least squares, and neural networks (NNs)—to deliver reliable CC ...
Collins Wakholi, Michael A. Hardigan, Jungmin Lee, Scott B. Lukas, Max J. Feldman, Kayla R. Altendorf, Jeffrey L. Neyhart, Devin A. Rippner   +7 more
wiley   +1 more source

MDF2Former: Multi-Scale Dual-Domain Feature Fusion Transformer for Hyperspectral Image Classification of Bacteria in Murine Wounds. [PDF]

J Imaging
Wu D, Liu W, Li R, Fu X, Tao L, Tian Y, Zhang A, Wang Z, Tang H.   +8 more
europepmc   +1 more source