Results 111 to 120 of about 7,830 (229)
High-temperature thermal images enable monitoring and controlling processes in metal, semiconductors, and ceramic manufacturing but also monitor activities of volcanoes or contrasting wildfires.
Vittorio Sala +5 more
doaj +1 more source
Abstract Aboveground biomass (ABM) is a key determinant of soybean (Glycine max [L.] Merr.) yield and can be used to select for stress‐resilient cultivars. The objective of our study was to develop a predictive model describing ABM in short‐season soybean from vegetative cover (VC) and canopy height (CH).
Malcolm J. Morrison +4 more
wiley +1 more source
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 +9 more
wiley +1 more source
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 +7 more
wiley +1 more source
Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials
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 +7 more
wiley +1 more source
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan +1 more
wiley +1 more source
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal +8 more
wiley +1 more source
ASPIS, A Flexible Multispectral System for Airborne Remote Sensing Environmental Applications
Airborne multispectral and hyperspectral remote sensing is a powerful tool for environmental monitoring applications. In this paper we describe a new system (ASPIS) composed by a 4-CCD spectral sensor, a thermal IR camera and a laser altimeter that is ...
Riccardo Valentini +6 more
doaj
Linking Plant and Microbial Traits to Soil Carbon for Reliable and Resilient Bioenergy Systems
Plant–microbe–soil interactions supporting productivity and soil carbon storage in bioenergy systems. Plants supply organic inputs that sustain microbial communities driving nutrient cycling, carbon stabilization, and soil aggregation. These interactions enhance soil structure and nutrient retention, supporting both biomass productivity and broader ...
Aubrey K. Fine +6 more
wiley +1 more source
Regolith in Motion: Dynamic Surface Evolution After Lunar Impacts
Abstract Multi‐temporal observations captured by the Lunar Reconnaissance Orbiter Camera provide valuable insights into contemporary surface changes. These images reveal that minor impact events (resulting in <100‐m diameter craters) significantly alter regolith structure over great distances (>1,000 crater diameters) by increasing the meter‐to ...
E. J. Speyerer +2 more
wiley +1 more source

