[HTML][HTML] Boost precision agriculture with unmanned aerial vehicle remote sensing and edge intelligence: A survey

J Liu, J Xiang, Y Jin, R Liu, J Yan, L Wang - Remote Sensing, 2021 - mdpi.com
In recent years unmanned aerial vehicles (UAVs) have emerged as a popular and cost-
effective technology to capture high spatial and temporal resolution remote sensing (RS) …

[HTML][HTML] Remote sensing for monitoring rangeland condition: current status and development of methods

A Retallack, G Finlayson, B Ostendorf, K Clarke… - Environmental and …, 2023 - Elsevier
This paper reviews the current status and development of remote sensing methods for
monitoring rangeland condition. Remote sensing offers ideal solutions for assessing …

Inversion of maize leaf area index from UAV hyperspectral and multispectral imagery

A Guo, H Ye, W Huang, B Qian, J Wang, Y Lan… - … and Electronics in …, 2023 - Elsevier
The accurate estimation of Leaf area index (LAI) is of great importance for evaluating crop
growth in precision agriculture. Although previous studies have confirmed great advantages …

Low-cost UAV applications in dynamic tropical volcanic landforms

S Granados-Bolaños, A Quesada-Román… - Journal of Volcanology …, 2021 - Elsevier
The recent and growing development and availability of unmanned aerial vehicles/systems
(UAV, UAS, or “drones”) in volcanology has promoted a significant advance in volcanic …

[HTML][HTML] Detection of citrus huanglongbing based on multi-input neural network model of UAV hyperspectral remote sensing

X Deng, Z Zhu, J Yang, Z Zheng, Z Huang, X Yin… - Remote Sensing, 2020 - mdpi.com
Citrus is an important cash crop in the world, and huanglongbing (HLB) is a destructive
disease in the citrus industry. To efficiently detect the degree of HLB stress on large-scale …

Application of unmanned aerial vehicles in precision agriculture

MN Tahir, Y Lan, Y Zhang, H Wenjiang, Y Wang… - Precision …, 2023 - Elsevier
Unmanned aerial vehicles (UAVs) are the robotic devices that can fly without the help of a
pilot. These robotic devices include a broad range of vehicles such as drones, micro and …

[HTML][HTML] Canopy laser interception compensation mechanism—UAV LiDAR precise monitoring method for cotton height

W Xu, W Yang, J Wu, P Chen, Y Lan, L Zhang - Agronomy, 2023 - mdpi.com
Plant height is a crucial phenotypic trait that plays a vital role in predicting cotton growth and
yield, as well as in estimating biomass in cotton plants. The accurate estimation of canopy …

[HTML][HTML] 农业人工智能技术: 现代农业科技的翅膀

兰玉彬, 王天伟, 陈盛德, 邓小玲 - 华南农业大学学报, 2020 - xuebao.scau.edu.cn
加快推进人工智能等现代信息技术在农业中的应用, 是现代农业发展的迫切需求,
也有利于推进国家乡村振兴战略, 数字乡村建设和智慧农业的发展. 为深入剖析人工智能技术 …

Investigating the impact of hyperspectral reconstruction techniques on the quantitative inversion of rice physiological parameters: A case study using the MST++ model

W Yang, B Zhang, W Xu, S Liu, Y Lan… - Journal of Integrative …, 2024 - Elsevier
Quantitative inversion is a significant topic in remote sensing science. The development of
visible light-based hyperspectral reconstruction techniques has opened up novel prospects …

Unmanned air vehicle based high resolution imagery for chlorophyll estimation using spectrally modified vegetation indices in vertical hierarchy of citrus grove

SMZA Naqvi, M Awais, FS Khan, U Afzal, N Naz… - Remote Sensing …, 2021 - Elsevier
Chlorophyll is a significant indicator of plant vigor and plant health which enables to
estimate final crop yield. Current experiment was conducted to acquire high resolution …