Boost precision agriculture with unmanned aerial vehicle remote sensing and edge intelligence: A survey

J Liu, J Xiang, Y Jin, R Liu, J Yan, L Wang - Remote Sensing, 2021 - mdpi.com
In recent years unmanned aerial vehicles (UAVs) have emerged as a popular and cost-
effective technology to capture high spatial and temporal resolution remote sensing (RS) …

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 …

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 …

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) …

High throughput field phenotyping of wheat plant height and growth rate in field plot trials using UAV based remote sensing

FH Holman, AB Riche, A Michalski, M Castle… - Remote Sensing, 2016 - mdpi.com
There is a growing need to increase global crop yields, whilst minimising use of resources
such as land, fertilisers and water. Agricultural researchers use ground-based observations …

Combined spectral and spatial modeling of corn yield based on aerial images and crop surface models acquired with an unmanned aircraft system

J Geipel, J Link, W Claupein - Remote sensing, 2014 - mdpi.com
Precision Farming (PF) management strategies are commonly based on estimations of
within-field yield potential, often derived from remotely-sensed products, eg, Vegetation …

Reproducibility of UAV-based earth topography reconstructions based on Structure-from-Motion algorithms

F Clapuyt, V Vanacker, K Van Oost - Geomorphology, 2016 - Elsevier
Combination of UAV-based aerial pictures and Structure-from-Motion (SfM) algorithm
provides an efficient, low-cost and rapid framework for remote sensing and monitoring of …

Integration of RGB-based vegetation index, crop surface model and object-based image analysis approach for sugarcane yield estimation using unmanned aerial …

KC Sumesh, S Ninsawat, J Som-Ard - Computers and Electronics in …, 2021 - Elsevier
Estimation of yield is a major challenge in the production of many agricultural crops,
including sugarcane. Mapping the spatial variability of plant height (PH) and the stalk …

Evaluation of 3D point cloud-based models for the prediction of grassland biomass

J Wijesingha, T Moeckel, F Hensgen… - International Journal of …, 2019 - Elsevier
Farmers, as well as agronomists, are intrigued by efficient quantification of grassland
biomass at field-scale. Canopy surface height (CSH) based non-destructive grassland …

UAV LiDAR metrics for monitoring crop height, biomass and nitrogen uptake: a case study on a winter wheat field trial

C Hütt, A Bolten, H Hüging, G Bareth - PFG–Journal of Photogrammetry …, 2023 - Springer
Efficient monitoring of crop traits such as biomass and nitrogen uptake is essential for an
optimal application of nitrogen fertilisers. However, currently available remote sensing …