Recent advances of hyperspectral imaging technology and applications in agriculture
Remote sensing is a useful tool for monitoring spatio-temporal variations of crop
morphological and physiological status and supporting practices in precision farming. In …
morphological and physiological status and supporting practices in precision farming. In …
A review on UAV-based applications for precision agriculture
Emerging technologies such as Internet of Things (IoT) can provide significant potential in
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …
UAV & satellite synergies for optical remote sensing applications: A literature review
E Alvarez-Vanhard, T Corpetti, T Houet - Science of remote sensing, 2021 - Elsevier
Unmanned aerial vehicles (UAVs) and satellite constellations are both essential Earth
Observation (EO) systems for monitoring land surface dynamics. The former is frequently …
Observation (EO) systems for monitoring land surface dynamics. The former is frequently …
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 …
Current practices in UAS-based environmental monitoring
With the increasing role that unmanned aerial systems (UAS) are playing in data collection
for environmental studies, two key challenges relate to harmonizing and providing …
for environmental studies, two key challenges relate to harmonizing and providing …
Drones: innovative technology for use in precision pest management
FH Iost Filho, WB Heldens, Z Kong… - Journal of economic …, 2020 - academic.oup.com
Arthropod pest outbreaks are unpredictable and not uniformly distributed within fields. Early
outbreak detection and treatment application are inherent to effective pest management …
outbreak detection and treatment application are inherent to effective pest management …
Challenges and best practices for deriving temperature data from an uncalibrated UAV thermal infrared camera
Miniaturized thermal infrared (TIR) cameras that measure surface temperature are
increasingly available for use with unmanned aerial vehicles (UAVs). However, deriving …
increasingly available for use with unmanned aerial vehicles (UAVs). However, deriving …
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 …
Spectral vegetation indices to track senescence dynamics in diverse wheat germplasm
The ability of a genotype to stay green affects the primary target traits grain yield (GY) and
grain protein concentration (GPC) in wheat. High throughput methods to assess senescence …
grain protein concentration (GPC) in wheat. High throughput methods to assess senescence …
Open-source mobile multispectral imaging system and its applications in biological sample sensing
F Shen, H Deng, L Yu, F Cai - Spectrochimica Acta Part A: Molecular and …, 2022 - Elsevier
Visible-near-infrared spectroscopy data can be utilized as an important quantitative indicator
of biomolecular quantitative analysis. When acquiring spectral information, hyperspectral …
of biomolecular quantitative analysis. When acquiring spectral information, hyperspectral …