Results 101 to 110 of about 1,727,336 (191)

Assessment of corn chlorophyll content via UAV‐derived vegetative indices across growth stages

Agrosystems, Geosciences &Environment, Volume 9, Issue 4, December 2026.
Abstract Traditional chlorophyll (Chl) assessment methods are labor‐intensive and spatially limited. This study evaluated unmanned aerial vehicle (UAV) multispectral imagery for nondestructive field‐scale canopy Chl estimation in corn (Zea mays L.) to support precision nutrient management.
Aarati Khulal, Huijie Gan, Jitender Rathore, Sheetal Kumari, Ivy Flory, Caleb Bishop, Santosh Rijal, Olga Walsh   +7 more
wiley   +1 more source

Aphid Resistance in Pulse Crops: Sources, Mechanisms, Genetics and Breeding

Legume Science, Volume 8, Issue 4, December 2026.
ABSTRACT Aphids are major pests of pulse crops, causing damage through phloem sap feeding and virus transmission. In this context, resistant varieties are central components of sustainable aphid management. This review synthesizes current knowledge on resistance sources, phenotyping strategies, resistance mechanisms, genetic control and breeding ...
Francisco A. Mendes, Susana T. Leitão, Diego Rubiales, Maria Carlota Vaz Patto   +3 more
wiley   +1 more source

Hyperspectral Image Resolution Enhancement Based on Spectral Unmixing and Information Fusion [PDF]

, 2011
Hyperspectral imaging sensors exibit high spectral resolution, but normally low spatial resolution. This leads to spectral signatures of pixels originating from different object types. Such pixels are called mixed pixels.
Avbelj, Janja, Reinartz, Peter, Müller, Rupert, Cerra, Daniele, Bieniarz, Jakub   +4 more
core  

Atmospheric Correction for Multispectral Satellite Imagery: An introductory review

Geofísica Internacional
Remote Sensing provides valuable information about objects or remote areas, either using active sensors (i.e. RADAR and LiDAR) or passive (i.e. multispectral or hyperspectral imagery) using satellite retrieved images.
Arturo Jasso, Ignacio Muñoz, David Pinto, Juan Manuel Ramírez   +3 more
doaj   +1 more source

Classifying Hyperspectral Remote Sensing Imagery With Independent Component Analysis

, 2005
In this paper, we investigate the application of independent component analysis (ICA) to remotely sensed hyperspectralimage classification. We focus on the performance of Joint Approximate Diagonalization of Eigenmatrices (JADE) algorithm, although the proposed method is applicable to other popular ICA algorithms.
Du, Qian, Kopriva, Ivica, Szu, Harold
openaire   +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

An object-based approach to quantity and quality assessment of heathland habitats in the framework of natura 2000 using hyperspectral airborne ahs images [PDF]

, 2010
: Straightforward mapping of detailed heathland habitat patches and their quality using remote sensing is hampered by (1) the intrinsic property of a high heterogeneity in habitat species composition (i.e.
Spanhove, T., Scheunders, P., Haest, B., Thoonen, G., Bertels, L., Kooistra, L., Vanden Borre, J., Mücher, C.A., Delalieux, S., Mucher, C. A.   +9 more
core  

Value of hyperspectral data for wall to wall wetland vegetation mapping in heterogeneous landscapes

Scientific Reports
Remote sensing is increasingly employed today for the creation of wall-to-wall vegetation maps of protected areas. The main objective of this study was to evaluate whether it is feasible to develop a remote sensing-based wall-to-wall vegetation map of ...
Anna Jarocińska, Dominik Kopeć, Jan Niedzielko, Anna Halladin-Dąbrowska, Marlena Kycko   +4 more
doaj   +1 more source

Ultra-high-resolution hyperspectral imagery datasets for precision agriculture applications

Data in Brief
Technology infusion in agriculture has been progressing steadily, touching upon various spheres of agriculture such as crop identification, soil classification, yield prediction, disease detection, and weed-crop discrimination.
Vamshi Krishna Munipalle, Usha Rani Nelakuditi, Manohar Kumar C．V．S．S．, Rama Rao Nidamanuri   +3 more
doaj   +1 more source

Affordable Phenomics special topic—Foreword for The Plant Phenome Journal

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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, Michael A. Gore   +1 more
wiley   +1 more source