A review on the use of unmanned aerial vehicles and imaging sensors for monitoring and assessing plant stresses

JGA Barbedo - Drones, 2019 - mdpi.com
Unmanned aerial vehicles (UAVs) are becoming a valuable tool to collect data in a variety of
contexts. Their use in agriculture is particularly suitable, as those areas are often vast …

A systematic review of the factors influencing the estimation of vegetation aboveground biomass using unmanned aerial systems

L G. Poley, G J. McDermid - Remote Sensing, 2020 - mdpi.com
Interest in the use of unmanned aerial systems (UAS) to estimate the aboveground biomass
(AGB) of vegetation in agricultural and non-agricultural settings is growing rapidly but there …

A novel machine learning method for estimating biomass of grass swards using a photogrammetric canopy height model, images and vegetation indices captured by a …

N Viljanen, E Honkavaara, R Näsi, T Hakala… - Agriculture, 2018 - mdpi.com
Silage is the main feed in milk and ruminant meat production in Northern Europe. Novel
drone-based remote sensing technology could be utilized in many phases of silage …

Estimation of nitrogen nutrition index in rice from UAV RGB images coupled with machine learning algorithms

Z Qiu, F Ma, Z Li, X Xu, H Ge, C Du - Computers and Electronics in …, 2021 - Elsevier
Rapid and accurate estimation of rice Nitrogen Nutrition Index (NNI) is beneficial for
management of nitrogen application in rice production. Traditional estimation methods …

Monitoring agronomic parameters of winter wheat crops with low-cost UAV imagery

M Schirrmann, A Giebel, F Gleiniger, M Pflanz… - Remote Sensing, 2016 - mdpi.com
Monitoring the dynamics in wheat crops requires near-term observations with high spatial
resolution due to the complex factors influencing wheat growth variability. We studied the …

A comparison of crop parameters estimation using images from UAV-mounted snapshot hyperspectral sensor and high-definition digital camera

J Yue, H Feng, X Jin, H Yuan, Z Li, C Zhou, G Yang… - Remote Sensing, 2018 - mdpi.com
Timely and accurate estimates of crop parameters are crucial for agriculture management.
Unmanned aerial vehicles (UAVs) carrying sophisticated cameras are very pertinent for this …

A review of estimation methods for aboveground biomass in grasslands using UAV

COG Bazzo, B Kamali, C Hütt, G Bareth, T Gaiser - Remote Sensing, 2023 - mdpi.com
Grasslands are one of the world's largest ecosystems, accounting for 30% of total terrestrial
biomass. Considering that aboveground biomass (AGB) is one of the most essential …

Combining UAV multispectral imagery and ecological factors to estimate leaf nitrogen and grain protein content of wheat

Z Fu, S Yu, J Zhang, H Xi, Y Gao, R Lu, H Zheng… - European Journal of …, 2022 - Elsevier
Nitrogen is an essential element of wheat growth and grain quality. Leaf nitrogen content
(LNC), a critical monitoring indicator of crop nitrogen status, plays a reference role for later …

Scaling effects on chlorophyll content estimations with RGB camera mounted on a UAV platform using machine-learning methods

Y Guo, G Yin, H Sun, H Wang, S Chen, J Senthilnath… - Sensors, 2020 - mdpi.com
Timely monitoring and precise estimation of the leaf chlorophyll contents of maize are crucial
for agricultural practices. The scale effects are very important as the calculated vegetation …

Cost-effective unmanned aerial vehicle (UAV) platform for field plant breeding application

GJ Jang, J Kim, JK Yu, HJ Kim, Y Kim, DW Kim… - Remote Sensing, 2020 - mdpi.com
Utilization of remote sensing is a new wave of modern agriculture that accelerates plant
breeding and research, and the performance of farming practices and farm management …