Results 221 to 230 of about 36,270 (292)

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

Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline. [PDF]

Remote Sens Environ, 2019
Zarco-Tejada PJ, Hornero A, Beck PSA, Kattenborn T, Kempeneers P, Hernández-Clemente R.   +5 more
europepmc   +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

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

Assessing Moisture Content of Coolstored Blueberries During Water Loss Scenarios Using Hyperspectral Imaging

New Zealand Journal of Crop and Horticultural Science, Volume 54, Issue 2, June 2026.
Water loss is a key factor affecting the postharvest quality and shelf life of blueberries, and storage conditions (humidity and time) play an important role in regulating water retention capacity of stored berries. This study aims to explore the variation of moisture content (MC) in blueberries under different storage humidity and storage time ...
RunKai Wang, Craig McGill, Eduardo Sandoval, Mo Li   +3 more
wiley   +1 more source

Comparison of Recycled Polypropylene Sourced From Food and Nonfood Applications for Direct Food Contact Use

Packaging Technology and Science, Volume 39, Issue 6, Page 765-778, June 2026.
Utilisation of postconsumer recycled (PCR) plastic for food contact has safety concerns due to the potential presence of unapproved intentionally/non‐intentionally added substances, which can pose health and environmental risks if not removed during recycling.
Khairun Tumu, Keith Vorst, Greg Curtzwiler   +2 more
wiley   +1 more source

Physics‐informed multimodal learning for snapshot dental spectral reflectance prediction

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Accurate color matching is essential to achieving aesthetically realistic outcomes in dental crown and bridge restorations. Traditional visual methods, however, are often affected by lighting variations and observer subjectivity. These limitations can lead to metamerism and inconsistent clinical outcomes.
Yujun Feng, Yushan Guo, Qingyi Liu, Fei Liu, Jiefei Shen, Junfei Shen   +5 more
wiley   +1 more source