[HTML][HTML] Drones in agriculture: A review and bibliometric analysis

A Rejeb, A Abdollahi, K Rejeb, H Treiblmaier - Computers and electronics …, 2022 - Elsevier
Abstract Drones, also called Unmanned Aerial Vehicles (UAV), have witnessed a
remarkable development in recent decades. In agriculture, they have changed farming …

Unmanned aerial vehicle for remote sensing applications—A review

H Yao, R Qin, X Chen - Remote Sensing, 2019 - mdpi.com
The unmanned aerial vehicle (UAV) sensors and platforms nowadays are being used in
almost every application (eg, agriculture, forestry, and mining) that needs observed …

Soybean yield prediction from UAV using multimodal data fusion and deep learning

M Maimaitijiang, V Sagan, P Sidike, S Hartling… - Remote sensing of …, 2020 - Elsevier
Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenotyping …

Smart farming in Europe

V Moysiadis, P Sarigiannidis, V Vitsas, A Khelifi - Computer science review, 2021 - Elsevier
Smart Farming is the new term in the agriculture sector, aiming to transform the traditional
techniques to innovative solutions based on Information Communication Technologies …

A review on plant high-throughput phenotyping traits using UAV-based sensors

C Xie, C Yang - Computers and Electronics in Agriculture, 2020 - Elsevier
The current methods of phenotyping for breeding lines require a lot of time, labor and cost. In
recent years, unmanned aerial system (UAS) has paved the way for the development of field …

Change detection from very-high-spatial-resolution optical remote sensing images: Methods, applications, and future directions

D Wen, X Huang, F Bovolo, J Li, X Ke… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
Change detection is a vibrant area of research in remote sensing. Thanks to increases in the
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …

A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping

L Feng, S Chen, C Zhang, Y Zhang, Y He - Computers and electronics in …, 2021 - Elsevier
High-throughput phenotyping has been widely studied in plant science to monitor plant
growth and analyze the influence of genotypes and environment on plant growth. To meet …

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 …

Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

J Bendig, K Yu, H Aasen, A Bolten, S Bennertz… - International Journal of …, 2015 - Elsevier
In this study we combined selected vegetation indices (VIs) and plant height information to
estimate biomass in a summer barley experiment. The VIs were calculated from ground …

Overview and current status of remote sensing applications based on unmanned aerial vehicles (UAVs)

G Pajares - Photogrammetric Engineering & Remote Sensing, 2015 - ingentaconnect.com
Remotely Piloted Aircraft (RPA) is presently in continuous development at a rapid pace.
Unmanned Aerial Vehicles (UAVs) or more extensively Unmanned Aerial Systems (UAS) …