Remote sensing for agricultural applications: A meta-review

M Weiss, F Jacob, G Duveiller - Remote sensing of environment, 2020 - Elsevier
Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …

Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows

H Aasen, E Honkavaara, A Lucieer, PJ Zarco-Tejada - Remote Sensing, 2018 - mdpi.com
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 …

Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging

B Li, X Xu, L Zhang, J Han, C Bian, G Li, J Liu… - ISPRS Journal of …, 2020 - Elsevier
Rapid and accurate biomass and yield estimation facilitates efficient plant phenotyping and
site-specific crop management. A low altitude unmanned aerial vehicle (UAV) was used to …

Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

L Han, G Yang, H Dai, B Xu, H Yang, H Feng, Z Li… - Plant methods, 2019 - Springer
Background Above-ground biomass (AGB) is a basic agronomic parameter for field
investigation and is frequently used to indicate crop growth status, the effects of agricultural …

Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices

J Yue, G Yang, Q Tian, H Feng, K Xu, C Zhou - ISPRS Journal of …, 2019 - Elsevier
When dealing with multiple growth stages, estimates of above-ground biomass (AGB) based
on optical vegetation indices (VIs) are difficult for two reasons:(i) optical VIs saturate at …

Estimation of potato above-ground biomass based on unmanned aerial vehicle red-green-blue images with different texture features and crop height

Y Liu, H Feng, J Yue, X Jin, Z Li, G Yang - Frontiers in plant science, 2022 - frontiersin.org
Obtaining crop above-ground biomass (AGB) information quickly and accurately is
beneficial to farmland production management and the optimization of planting patterns …

Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects

S Jin, X Sun, F Wu, Y Su, Y Li, S Song, K Xu… - ISPRS Journal of …, 2021 - Elsevier
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …

Crop monitoring using satellite/UAV data fusion and machine learning

M Maimaitijiang, V Sagan, P Sidike, AM Daloye… - Remote Sensing, 2020 - mdpi.com
Non-destructive crop monitoring over large areas with high efficiency is of great significance
in precision agriculture and plant phenotyping, as well as decision making with regards to …

High-throughput phenotyping of plant height: comparing unmanned aerial vehicles and ground LiDAR estimates

S Madec, F Baret, B De Solan, S Thomas… - Frontiers in plant …, 2017 - frontiersin.org
The capacity of LiDAR and Unmanned Aerial Vehicles (UAVs) to provide plant height
estimates as a high-throughput plant phenotyping trait was explored. An experiment over …

Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance

H Aasen, A Burkart, A Bolten, G Bareth - ISPRS Journal of Photogrammetry …, 2015 - Elsevier
This paper describes a novel method to derive 3D hyperspectral information from lightweight
snapshot cameras for unmanned aerial vehicles for vegetation monitoring. Snapshot …