Results 251 to 260 of about 204,035 (336)

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

Assessing RGB Color Reliability via Simultaneous Comparison with Hyperspectral Data on Pantone^® Fabrics. [PDF]

J Imaging
Gómez-Heredia CL, Ardila-Useda JD, Cerón-Molina AF, Osorio-Gallego J, Ramírez-Rincón JA.   +4 more
europepmc   +1 more source

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

MultiScale hierarchical attention network for stain free breast cancer detection in microscopic hyperspectral imaging. [PDF]

Sci Rep
Chen Z, Yang Q, Qin G, Ma X, Lu Z, Li H, Su B.   +6 more
europepmc   +1 more source

A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging [PDF]

Peichao Li, Oscar MacCormac, Jonathan Shapey, Tom Vercauteren   +3 more
openalex   +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

Design and Development of an Automated Pipeline for Medical Hyperspectral Image Acquisition, Processing, and Fusion. [PDF]

J Imaging
Wühler F, Häußermann TM, Rache A, van Marwick B, Wängler C, Reichwald J, Rädle M.   +6 more
europepmc   +1 more source

Noise Learning of Instruments for High-contrast, High-resolution and Fast Hyperspectral Microscopy and Nanoscopy

Hao He, Maofeng Cao, Yun Gao, Peng Zheng, Sen Yan, Jin‐Hui Zhong, Lei Wang, Dayong Jin, Bin Ren   +8 more
openalex   +1 more source

Decision‐making factors for variable rate application of seed and fertilizer in precision agriculture systems: A review

Crop, Forage &Turfgrass Management, Volume 12, Issue 1, June 2026.
Abstract Input management practices within precision agriculture systems have enabled grain and oilseed producers to apply agricultural inputs variably, facilitating resource, yield, and profit optimization. Despite significant progress in variable rate technologies, research comparing different methodologies and comprehensive guidelines to assist ...
Karen Joané Truter, Marion Delport, Ferdinand Meyer, Pieter Andreas Swanepoel   +3 more
wiley   +1 more source