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Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows
In the last 10 years, development in robotics, computer vision, and sensor technology has
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …
[HTML][HTML] Cost-effective unmanned aerial vehicle (UAV) platform for field plant breeding application
Utilization of remote sensing is a new wave of modern agriculture that accelerates plant
breeding and research, and the performance of farming practices and farm management …
breeding and research, and the performance of farming practices and farm management …
UAV-based multispectral remote sensing for precision agriculture: A comparison between different cameras
L Deng, Z Mao, X Li, Z Hu, F Duan, Y Yan - ISPRS journal of …, 2018 - Elsevier
Unmanned aerial vehicle (UAV)-based multispectral remote sensing has shown great
potential for precision agriculture. However, there are many problems in data acquisition …
potential for precision agriculture. However, there are many problems in data acquisition …
[HTML][HTML] Machine learning-based approaches for predicting SPAD values of maize using multi-spectral images
Precisely monitoring the growth condition and nutritional status of maize is crucial for
optimizing agronomic management and improving agricultural production. Multi-spectral …
optimizing agronomic management and improving agricultural production. Multi-spectral …
What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?
ER Hunt Jr, CST Daughtry - International journal of remote sensing, 2018 - Taylor & Francis
Remote sensing from unmanned aircraft systems (UAS) was expected to be an important
new technology to assist farmers with precision agriculture, especially crop nutrient …
new technology to assist farmers with precision agriculture, especially crop nutrient …
Vegetation monitoring using multispectral sensors—best practices and lessons learned from high latitudes
Rapid technological advances have dramatically increased affordability and accessibility of
unmanned aerial vehicles (UAVs) and associated sensors. Compact multispectral drone …
unmanned aerial vehicles (UAVs) and associated sensors. Compact multispectral drone …
Application of unmanned aerial systems for high throughput phenoty** of large wheat breeding nurseries
A Haghighattalab, L González Pérez, S Mondal… - Plant Methods, 2016 - Springer
Background Low cost unmanned aerial systems (UAS) have great potential for rapid
proximal measurements of plants in agriculture. In the context of plant breeding and …
proximal measurements of plants in agriculture. In the context of plant breeding and …
Identifying the optimal radiometric calibration method for UAV-based multispectral imaging
The development of UAVs and multispectral cameras has led to remote sensing applications
with unprecedented spatial resolution. However, uncertainty remains on the radiometric …
with unprecedented spatial resolution. However, uncertainty remains on the radiometric …
Spectral comparison of UAV-based hyper and multispectral cameras for precision viticulture
Analysis of the spectral response of vegetation using optical sensors for non-destructive
remote monitoring represents a key element for crop monitoring. Considering the wide …
remote monitoring represents a key element for crop monitoring. Considering the wide …
Assessing radiometric calibration methods for multispectral UAV imagery and the influence of illumination, flight altitude and flight time on reflectance, vegetation index …
H Zhu, Y Huang, Z An, H Zhang, Y Han, Z Zhao… - … and Electronics in …, 2024 - Elsevier
Radiometric correction is essential to unmanned aerial vehicle (UAV) precision agriculture
applications, especially for crop multi-period analysis and quantitative inversion of …
applications, especially for crop multi-period analysis and quantitative inversion of …