[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 …

A survey on information and communication technologies for industry 4.0: State-of-the-art, taxonomies, perspectives, and challenges

G Aceto, V Persico, A Pescapé - IEEE Communications Surveys …, 2019 - ieeexplore.ieee.org
A new industrial revolution is undergoing, based on a number of technological paradigms.
The will to foster and guide this phenomenon has been summarized in the expression …

Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows

H Aasen, E Honkavaara, A Lucieer, PJ Zarco-Tejada - Remote Sensing, 2018 - mdpi.com
In the last 10 years, development in robotics, computer vision, and sensor technology has
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …

Smart farming is key to developing sustainable agriculture

A Walter, R Finger, R Huber… - Proceedings of the …, 2017 - National Acad Sciences
Agriculture has seen many revolutions, whether the domestication of animals and plants a
few thousand years ago, the systematic use of crop rotations and other improvements in …

Hyperspectral imaging in environmental monitoring: A review of recent developments and technological advances in compact field deployable systems

MB Stuart, AJS McGonigle, JR Willmott - Sensors, 2019 - mdpi.com
The development and uptake of field deployable hyperspectral imaging systems within
environmental monitoring represents an exciting and innovative development that could …

Estimating biomass of barley using crop surface models (CSMs) derived from UAV-based RGB imaging

J Bendig, A Bolten, S Bennertz, J Broscheit, S Eichfuss… - Remote sensing, 2014 - mdpi.com
Crop monitoring is important in precision agriculture. Estimating above-ground biomass
helps to monitor crop vitality and to predict yield. In this study, we estimated fresh and dry …

Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance

H Aasen, A Burkart, A Bolten, G Bareth - ISPRS Journal of Photogrammetry …, 2015 - Elsevier
This paper describes a novel method to derive 3D hyperspectral information from lightweight
snapshot cameras for unmanned aerial vehicles for vegetation monitoring. Snapshot …

Estimation of winter wheat above-ground biomass using unmanned aerial vehicle-based snapshot hyperspectral sensor and crop height improved models

J Yue, G Yang, C Li, Z Li, Y Wang, H Feng, B Xu - Remote Sensing, 2017 - mdpi.com
Correct estimation of above-ground biomass (AGB) is necessary for accurate crop growth
monitoring and yield prediction. We estimated AGB based on images obtained with a …

Object-based mangrove species classification using unmanned aerial vehicle hyperspectral images and digital surface models

J Cao, W Leng, K Liu, L Liu, Z He, Y Zhu - Remote Sensing, 2018 - mdpi.com
Mangroves are one of the most important coastal wetland ecosystems, and the compositions
and distributions of mangrove species are essential for conservation and restoration efforts …

Estimation of crop growth parameters using UAV-based hyperspectral remote sensing data

H Tao, H Feng, L Xu, M Miao, H Long, J Yue, Z Li… - Sensors, 2020 - mdpi.com
Above-ground biomass (AGB) and the leaf area index (LAI) are important indicators for the
assessment of crop growth, and are therefore important for agricultural management …