Ecohydrology, Volume 19, Issue 7, November/December 2026.ABSTRACT Wetland vegetation influences water and sediment transport by altering flow resistance. Vegetation presence, stem density, leaf and stem morphology, and flexibility, among other characteristics, control the degree to which vegetation impacts transport patterns.
Sarah M. Brannum +2 more
wiley +1 more source
Explainable Superpixel-Guided Graph Vision Transformer for Hyperspectral Image Analysis. [PDF]
Sensors (Basel)Chen J +4 more
europepmc +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 +3 more
wiley +1 more source
Early Differentiation of Barley Diseases (Net Blotch, Spot Blotch, and Stem Rust) Using Hyperspectral Imaging and Machine Learning. [PDF]
J Fungi (Basel)Terentev A +4 more
europepmc +1 more source
Sparsity‐Driven Source Localization in Tomographic Sensing Applications
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.ABSTRACT Hyperspectral standoff detection systems such as Focal Plane Array (FPA) Fourier Transform Infrared (FTIR) spectrometers provide high spatial resolution in detecting airborne chemical contaminants that are invisible to the human eye but potentially hazardous. When two such systems are operated simultaneously with a suitable opening angle, they
Marco Mattuschka +5 more
wiley +1 more source
Optimal Detecting Part of <i>Ophiocordyceps sinensis</i> for Identifying Wild and Cultivated Categories Using Hyperspectrum. [PDF]
Sensors (Basel)Xie S +8 more
europepmc +1 more source
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Water scarcity is a major threat to crop production and quality. Improving drought tolerance through variety selection requires a deeper understanding of plant ecophysiological responses, but large‐scale phenotyping remains a bottleneck. This study assessed the potential of high‐throughput tools (spectroscopy and poro‐fluorometry) to predict ...
Eva Coindre +13 more
wiley +1 more source
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 +12 more
wiley +1 more source
A Patch-Aligned Multimodal Deep Learning Framework for Non-Destructive Freshness Monitoring of Postharvest Mushrooms Using Hyperspectral Imaging. [PDF]
FoodsGuo Z +4 more
europepmc +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 +15 more
wiley +1 more source