[HTML][HTML] UAS-based plant phenoty** for research and breeding applications

W Guo, ME Carroll, A Singh, TL Swetnam… - Plant …, 2021 - spj.science.org
Unmanned aircraft system (UAS) is a particularly powerful tool for plant phenoty**, due to
reasonable cost of procurement and deployment, ease and flexibility for control and …

Unmanned Aerial Vehicle-Based Photogrammetric 3D Map**: A survey of techniques, applications, and challenges

S Jiang, W Jiang, L Wang - IEEE Geoscience and Remote …, 2021 - ieeexplore.ieee.org
Three-dimensional map** is an increasingly important feature for recent photogrammetry
and remote sensing (RS) systems. Currently, unmanned aerial vehicles (UAVs) have …

Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system

N Lu, J Zhou, Z Han, D Li, Q Cao, X Yao, Y Tian, Y Zhu… - Plant Methods, 2019 - Springer
Background Aboveground biomass (AGB) is a widely used agronomic parameter for
characterizing crop growth status and predicting grain yield. The rapid and accurate …

Combining UAV-based vegetation indices and image classification to estimate flower number in oilseed rape

L Wan, Y Li, H Cen, J Zhu, W Yin, W Wu, H Zhu, D Sun… - Remote Sensing, 2018 - mdpi.com
Remote estimation of flower number in oilseed rape under different nitrogen (N) treatments
is imperative in precision agriculture and field remote sensing, which can help to predict the …

Crop height estimation based on UAV images: Methods, errors, and strategies

T ** of crop biomass using growth traits retrieved from PROSAIL model
L Wan, J Zhang, X Dong, X Du, J Zhu, D Sun… - … and Electronics in …, 2021 - Elsevier
Unmanned aerial vehicle (UAV) platform has been perceived as a useful tool for high-
throughput field phenoty** of crop growth traits. While interpretation of UAV image data …

Biomass prediction of heterogeneous temperate grasslands using an SfM approach based on UAV imaging

E Grüner, T Astor, M Wachendorf - Agronomy, 2019 - mdpi.com
An early and precise yield estimation in intensive managed grassland is mandatory for
economic management decisions. RGB (red, green, blue) cameras attached on an …

Estimating biomass in temperate grassland with high resolution canopy surface models from UAV-based RGB images and vegetation indices

U Lussem, A Bolten, J Menne, ML Gnyp… - Journal of Applied …, 2019 - spiedigitallibrary.org
Monitoring grassland biomass throughout the growing season is of key importance in
sustainable, site-specific management decisions. Precision agriculture applications can …

Improving the estimation of fractional vegetation cover from UAV RGB imagery by colour unmixing

G Yan, L Li, A Coy, X Mu, S Chen, D **e… - ISPRS Journal of …, 2019 - Elsevier
Remote sensing via unmanned aerial vehicles (UAVs) is becoming a very important tool for
augmenting traditional spaceborne and airborne remote sensing techniques. Commercial …

Comparison of leaf-off and leaf-on combined UAV imagery and airborne LiDAR for assessment of a post-mining site terrain and vegetation structure: Prospects for …

V Moudrý, K Gdulová, M Fogl, P Klápště, R Urban… - Applied geography, 2019 - Elsevier
Mining is an important human activity that significantly affects the landscape character,
particularly through excavation of spoil material and its deposition on spoil banks. The …