A technical study on UAV characteristics for precision agriculture applications and associated practical challenges

N Delavarpour, C Koparan, J Nowatzki, S Bajwa… - Remote Sensing, 2021 - mdpi.com
The incorporation of advanced technologies into Unmanned Aerial Vehicles (UAVs)
platforms have enabled many practical applications in Precision Agriculture (PA) over the …

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 …

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 …

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 …

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 on monitoring and advanced control strategies in smart agriculture

SI Hassan, MM Alam, U Illahi, MA Al Ghamdi… - Ieee …, 2021 - ieeexplore.ieee.org
Automation in agriculture nowadays is the main focus and area of development for various
countries. The population rate of the world is increasing rapidly and will be double in …

Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine

M Maimaitijiang, A Ghulam, P Sidike, S Hartling… - ISPRS Journal of …, 2017 - Elsevier
Estimating crop biophysical and biochemical parameters with high accuracy at low-cost is
imperative for high-throughput phenotyping in precision agriculture. Although fusion of data …

UAS, sensors, and data processing in agroforestry: A review towards practical applications

L Pádua, J Vanko, J Hruška, T Adão… - … journal of remote …, 2017 - Taylor & Francis
The aim of this study is twofold: first, to present a survey of the actual and most advanced
methods related to the use of unmanned aerial systems (UASs) that emerged in the past few …

Improving unmanned aerial vehicle remote sensing-based rice nitrogen nutrition index prediction with machine learning

H Zha, Y Miao, T Wang, Y Li, J Zhang, W Sun, Z Feng… - Remote Sensing, 2020 - mdpi.com
Optimizing nitrogen (N) management in rice is crucial for China's food security and
sustainable agricultural development. Nondestructive crop growth monitoring based on …

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 …