Results 261 to 270 of about 109,853 (338)

Mapping the Mineralogical Footprints of Petroleum Microseepage Systems in Redbeds of the Qom Region (Iran) Using EnMAP Hyperspectral Data [PDF]

Yasmin Elhaei, Saeid Asadzadeh
openalex   +1 more source

UAV‐based RGB and multispectral vegetation indices as alternatives to light box‐derived dark green color index for turfgrass color assessment

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Traditionally, turfgrass color has been assessed through visual ratings or light box‐based digital image analysis, methods that are either subjective or labor‐intensive. In this study, we evaluated the potential of unmanned aerial vehicle (UAV)‐based multispectral and red‐green‐blue (RGB) imagery as a high‐throughput alternative for capturing ...
Ved Parkash, Phillip L. Vines, Sameer Khanal, Jing Zhang, Joann Conner, Susana R. Milla‐Lewis, Nino Brown, David Jespersen, Jodi Johnson‐Maynard, Brian M. Schwartz   +9 more
wiley   +1 more source

Improving the Estimation Accuracy of the Maize Above-ground Biomass Using UAV Hyperspectral Data Optimizated by Fractional-Order Differential Method

yanyan wang, Xiang Gao, Xinyan Liu, Han Lu   +3 more
openalex   +1 more source

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

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

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

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

Evaluating Airborne Thermal Infrared Hyperspectral Data for Leaf Area Index Retrieval in Temperate Forests

Elnaz Neinavaz, Roshanak Darvishzadeh, Andrew K. Skidmore, Marco Heurich, Xi Zhu   +4 more
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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

Predicting Pineapple Quality from Hyperspectral Data of Plant Parts Applied to Machine Learning [PDF]

Vitória Carolina Dantas Alves, Sebastião Ferreira de Lima, Dthenifer Cordeiro Santana, Rafael Ferreira Barreto, Roger Augusto da Cunha, Ana Carina da Silva Cândido Seron, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo Teodoro, Rita de Cássia Félix Alvarez, Cid Naudi Silva Campos, Carlos Antônio da Silva, Fábio Luíz Checchio Mingotte   +11 more
openalex   +1 more source