Results 111 to 120 of about 57,543 (231)
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 +7 more
wiley +1 more source
Quantitative inversion is a major topic in remote sensing science. The development of visible light-based hyperspectral reconstruction techniques has opened novel prospects for low-cost, high-precision remote sensing inversion in agriculture.
Weiguang Yang +5 more
doaj +1 more source
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 +3 more
wiley +1 more source
Integrated Soil Salinisation Management Strategies in Agriculture
This review synthesises integrated water, agronomic, and biochemical strategies for managing soil salinisation, presenting a decision framework for selecting cost‐effective amendments based on initial soil assessment and long‐term sustainability monitoring. ABSTRACT Soil salinisation poses a global threat to agricultural sustainability, affecting about
Yingying Xing, Xuning Liu, Xiukang Wang
wiley +1 more source
Real-time local anomaly detection needs to be performed simultaneously with hyperspectral image acquisition. However, the discussion on the scope of using existing data, mainly focuses on line-by-line data acquisition methods and does not address pixel ...
Shihui Liu, Meiping Song
doaj +1 more source
Retrieval Lesson Learned from NAST-I Hyperspectral Data [PDF]
The retrieval lesson learned is important to many current and future hyperspectral remote sensors. Validated retrieval algorithms demonstrate the advancement of hyperspectral remote sensing capabilities to be achieved with current and future satellite ...
Larar, Allen M. +4 more
core +1 more source
Physics‐informed multimodal learning for snapshot dental spectral reflectance prediction
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 +5 more
wiley +1 more source
Prediction and mapping of tobacco yield with fresh leaf mass using hyperspectral sensing data
Tobacco yield is important for agricultural management and policy making. Hyperspectral remote sensing has advantages in predicting and mapping crop yield, providing both yield values and the spatial distribution of yield.
Junying Li +6 more
doaj +1 more source
Hyperspectral remote sensing (HSRS) is becoming more and more attractive. Recent advances in sensor technologies enabled numerous applications of this imaging modality. HSRS research has been conducted at TUBITAK UZAY since 2012. This paper provides a short survey of these research and development activities ranging from hyperspectral remote sensing ...
Sakarya, Ufuk +8 more
openaire +2 more sources
Police drone technology could be utilized to support forensic scene investigations. If the challenges of implementing new technologies can be overcome, drones could improve operational efficiency, interpretation issues and add investigative value in the courtroom. ABSTRACT Unoccupied aerial systems (UAS; otherwise known as Uncrewed Aerial Vehicles (UAV)
Clare Barrett +2 more
wiley +1 more source

