Results 151 to 160 of about 48,962 (279)

Development of UAV and microsatellites for remote sensing

open access: yesDevelopment of UAV and microsatellites for remote sensing
[ABSTRACT]Synthetic Aperture Radar (SAR) is well-known as a multipurpose sensor in all-weather and day-night time. In this research, we are developing Circularly Polarized Synthetic Aperture Radar (CP-SAR) onboard microsatellite to observe land deformation on Earth surface under Japanese Ministry of Education and Technology (MEXT) program etc.
openaire  

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang   +12 more
wiley   +1 more source

An efficient approach to detect and track winter flush growth of litchi tree based on UAV remote sensing and semantic segmentation. [PDF]

open access: yesFront Plant Sci, 2023
Bai S   +9 more
europepmc   +1 more source

Developing and deploying an unmanned aerial system–based phenotyping program for maturity to support soybean breeding

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Soybean [Glycine max (L.) Merr.] varieties are categorized into different relative maturity groups (MGs) that correspond to the approximate region that the variety is best adapted. Maturity is an important trait that growers consider when deciding which varieties to plant and for breeders as a covariate to compare genotypes.
Nathaniel Burner   +2 more
wiley   +1 more source

High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Sugarcane (Saccharum spp.), a C4 plant, is a vital renewable biofuel and sugar source for industries worldwide. However, synchronizing flowering between parental lines often poses challenges for breeders, hindering effective crossbreeding efforts.
Paulo H. da Silva Santos   +11 more
wiley   +1 more source

Research on weed identification method in rice fields based on UAV remote sensing. [PDF]

open access: yesFront Plant Sci, 2022
Yu F   +6 more
europepmc   +1 more source

UAV‐Based Remote Sensing Volume 2

open access: yes, 2018
ctive technological development has fuelled rapid growth in the number of Unmanned Aerial Vehicle (UAV) platforms being deployed around the globe. Novel UAV platforms, UAV-based sensors, robotic sensing and imaging techniques, the development of processing workflows, as well as the capacity of ultra-high temporal and spatial resolution data, provide ...
Felipe Gonzalez Toro (Ed.)   +1 more
openaire   +1 more source

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe   +3 more
wiley   +1 more source

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