Satellite-and drone-based remote sensing of crops and soils for smart farming–a review

Y Inoue - Soil Science and Plant Nutrition, 2020 - Taylor & Francis
Present climate and socioeconomic issues would threaten the global food and
environmental security. Smart farming (SF) based on advances in sensing, robotic, and …

Editable free-viewpoint video using a layered neural representation

J Zhang, X Liu, X Ye, F Zhao, Y Zhang, M Wu… - ACM Transactions on …, 2021 - dl.acm.org
Generating free-viewpoint videos is critical for immersive VR/AR experience, but recent
neural advances still lack the editing ability to manipulate the visual perception for large …

3d scanning: A comprehensive survey

M Daneshmand, A Helmi, E Avots, F Noroozi… - arXiv preprint arXiv …, 2018 - arxiv.org
This paper provides an overview of 3D scanning methodologies and technologies proposed
in the existing scientific and industrial literature. Throughout the paper, various types of the …

Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images

Q Yang, L Shi, J Han, Y Zha, P Zhu - Field Crops Research, 2019 - Elsevier
Forecasting rice grain yield prior to harvest is essential for crop management, food security
evaluation, food trade, and policy-making. Many successful applications have been made in …

Assessment of forest structure using two UAV techniques: A comparison of airborne laser scanning and structure from motion (SfM) point clouds

L Wallace, A Lucieer, Z Malenovský, D Turner… - Forests, 2016 - mdpi.com
This study investigates the potential of unmanned aerial vehicles (UAVs) to measure and
monitor structural properties of forests. Two remote sensing techniques, airborne laser …

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 …

Assessment of UAV-photogrammetric mapping accuracy based on variation of ground control points

P Martínez-Carricondo, F Agüera-Vega… - International journal of …, 2018 - Elsevier
Civil engineering uses digital elevation models (DEMs) and orthophotos as basic material to
be able to design and execute any project. UAV photogrammetry has made it possible to …

Individual tree detection from unmanned aerial vehicle (UAV) derived canopy height model in an open canopy mixed conifer forest

M Mohan, CA Silva, C Klauberg, P Jat, G Catts… - Forests, 2017 - mdpi.com
Advances in Unmanned Aerial Vehicle (UAV) technology and data processing capabilities
have made it feasible to obtain high-resolution imagery and three dimensional (3D) data …

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 …

Using unmanned aerial vehicles (UAV) for high-resolution reconstruction of topography: The structure from motion approach on coastal environments

F Mancini, M Dubbini, M Gattelli, F Stecchi, S Fabbri… - Remote sensing, 2013 - mdpi.com
The availability of high-resolution Digital Surface Models of coastal environments is of
increasing interest for scientists involved in the study of the coastal system processes …