Results 221 to 230 of about 135,791 (297)

Shutter Speed Influences the Capability of a Low-Cost Multispectral Sensor to Estimate Turfgrass (<i>Cynodon dactylon L.</i>-Poaceae) Vegetation Vigor Under Different Solar Radiation Conditions. [PDF]

Sensors (Basel)
Martínez-Meroño RM, Freire-García PF, Furnitto N, Lupica S, Privitera S, Sottosanti G, Spagnuolo M, Caruso L, Cerruto E, Failla S, Longo D, Manetto G, Schillaci G, Ramírez-Cuesta JM.   +13 more
europepmc   +1 more source

Wear stress of creeping bentgrass as affected by pigmented phosphonate fungicides

Crop, Forage &Turfgrass Management, Volume 12, Issue 1, June 2026.
Abstract Wear stress can negatively impact the quality of creeping bentgrass (Agrostis stolonifera L.) putting greens. Phosphonate fungicides formulated with proprietary pigments often include label language indicating plant health benefits, such as alleviating abiotic and biotic stresses.
Bradley S. Park, Hiranthi Samaranayake, Patrick W. Burgess, James A. Murphy   +3 more
wiley   +1 more source

Enhanced Cropland SOM Prediction via LEW-DWT Fusion of Multi-Temporal Landsat 8 Images and Time-Series NDVI Features. [PDF]

Sensors (Basel)
Ning L, Li D, Xia Y, Xiao E, Han D, Yan J, Dong X.   +6 more
europepmc   +1 more source

Climate Controls on Carbon Dioxide Fluxes in a High‐Elevation Grassland

Global Change Biology Communications, Volume 1, Issue 2, June 2026.
Climate change is significantly influencing high‐elevation grasslands, possibly unbalancing CO2 exchanges and the sink‐source dynamics. Cumulated heat available for plant growth and vegetation cover were identified as the main controllers of phenological development and, via direct or mediated effects, of CO2 fluxes (ER and GPP).
Silvio Marta, Marta Magnani, Gianna Vivaldo, Andrea Mainetti, Ilaria Baneschi, Alice Baronetti, Simona Gennaro, Mariasilvia Giamberini, Simone Ravetto Enri, Michele Lonati, Brunella Raco, Antonello Provenzale   +11 more
wiley   +1 more source

Technological Advances in Mung Bean (Vigna radiata (L.) Wilczek) Milling, Processing, and Utilization

Legume Science, Volume 8, Issue 2, June 2026.
ABSTRACT Mung bean (Vigna radiata (L.) Wilczek) is emerging as a valuable ingredient in modern food systems due to its nutritional benefits, functional versatility, and alignment with plant‐based, clean‐label, and sustainable food trends. This review highlights recent technological advancements in mung bean processing, covering primary processing steps
Suresh Sakhare, Ashlyn Rairdin, Venkata Naresh Boddepalli, Amrita Ray, Arti Singh   +4 more
wiley   +1 more source

Development of a Multispectral Image Database in Visible-Near-Infrared for Demosaicking and Machine Learning Applications. [PDF]

J Imaging
Mohammadi V, Sodjinou SG, Gouton P.
europepmc   +1 more source

Advancing Canning Quality in Common Beans: An Integrated Farm‐to‐Can Framework Combining Breeding, Processing, and Artificial Intelligence

Legume Science, Volume 8, Issue 2, June 2026.
ABSTRACT Common beans (Phaseolus vulgaris L.) are essential raw material for the canning industry. This article reviews recent advances in assessing canning quality and the integration of artificial intelligence (AI) into breeding methodologies aimed at developing genotypes with superior yield and canning‐quality traits.
Arash Ghaitaranpour, Biniam Kebede, Mohsen Yoosefzadeh‐Najafabadi   +2 more
wiley   +1 more source

Development and Application of Miniaturized Multispectral Detection System for Water Reflection Detection. [PDF]

Sensors (Basel)
Song Y, Li Y, Li C, Luo F, Cai F.
europepmc   +1 more source

Input Layer Regularization and Automated Regularization Hyperparameter Tuning for Myelin Water Estimation Using Deep Learning

NMR in Biomedicine, Volume 39, Issue 6, June 2026.
We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi, Shashank Sule, Jonathan Palumbo, Michael Rozowski, Griffin S. Hampton, Mustapha Bouhrara, Wojciech Czaja, Richard G. Spencer   +7 more
wiley   +1 more source

Seasonal collection of in situ optical and thermal images dataset and meteorological measurements over an Indian semi-arid rice crop. [PDF]

Data Brief
Pinnepalli C, Roujean JL, Oliver-Soulayrol M, Nigam R, Irvine M, Das A, Dave R, Bhattacharya BK.   +7 more
europepmc   +1 more source