Survey on aerial radio access networks: Toward a comprehensive 6G access infrastructure

NN Dao, QV Pham, NH Tu, TT Thanh… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Current access infrastructures are characterized by heterogeneity, low latency, high
throughput, and high computational capability, enabling massive concurrent connections …

[HTML][HTML] A review of deep learning in multiscale agricultural sensing

D Wang, W Cao, F Zhang, Z Li, S Xu, X Wu - Remote Sensing, 2022 - mdpi.com
Population growth, climate change, and the worldwide COVID-19 pandemic are imposing
increasing pressure on global agricultural production. The challenge of increasing crop yield …

WheatNet: A lightweight convolutional neural network for high-throughput image-based wheat head detection and counting

S Khaki, N Safaei, H Pham, L Wang - Neurocomputing, 2022 - Elsevier
For a globally recognized plant breeding organization, manually recorded field observation
data is crucial for plant breeding decision making. However, certain phenotypic traits such …

Enhancing assessment of corn growth performance using unmanned aerial vehicles (UAVs) and deep learning

J Xiao, SA Suab, X Chen, CK Singh, D Singh… - Measurement, 2023 - Elsevier
The advancement of unmanned aerial vehicles (UAVs) offers precise and accurate spectral
and spatial information about crops and plays a pivotal role in precision agriculture. This …

[HTML][HTML] Advanced technology in agriculture industry by implementing image annotation technique and deep learning approach: A review

N Mamat, MF Othman, R Abdoulghafor, SB Belhaouari… - Agriculture, 2022 - mdpi.com
The implementation of intelligent technology in agriculture is seriously investigated as a way
to increase agriculture production while reducing the amount of human labor. In agriculture …

Artificial intelligence in extended agri-food supply chain: A short review based on bibliometric analysis

J Monteiro, J Barata - Procedia Computer Science, 2021 - Elsevier
Climate change and population growth are triggering a digital transformation in agriculture.
Consequently, agri-food supply chains are becoming more intelligent, producing vast …

[HTML][HTML] Global navigation satellite systems as state-of-the-art solutions in precision agriculture: A review of studies indexed in the web of science

D Radočaj, I Plaščak, M Jurišić - Agriculture, 2023 - mdpi.com
Global Navigation Satellite Systems (GNSS) in precision agriculture (PA) represent a
cornerstone for field mapping, machinery guidance, and variable rate technology. However …

Dual-task interactive learning for unsupervised spatio-temporal-spectral fusion of remote sensing images

Q Liu, X Chen, X Meng, H Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Spatio-temporal–spectral fusion aims to produce high spatio-temporal–spectral resolution
images by integrating the complementary spatial, temporal, and spectral advantages of …

A survey of next-generation computing technologies in space-air-ground integrated networks

Z Shen, J Jin, C Tan, A Tagami, S Wang, Q Li… - ACM Computing …, 2023 - dl.acm.org
Space-air-ground integrated networks (SAGINs) are key elements for facilitating high-speed
seamless connectivity to the devices/users in infrastructure-less environments, where the …

An extensive review on agricultural robots with a focus on their perception systems

A Thakur, S Venu, M Gurusamy - Computers and Electronics in Agriculture, 2023 - Elsevier
Agriculture represents an essential aspect of human existence, providing the sustenance
necessary for survival in the form of food and various other products. Additionally, it serves …