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Recent Patents on Engineering

Editor-in-Chief

ISSN (Print): 1872-2121
ISSN (Online): 2212-4047

Review Article

UAV Remote Sensing Technology: A Review of Chinese Agricultural Patents

Author(s): Yudong Bao*, Yongqi Huang and Yuying Liu

Volume 18, Issue 4, 2024

Published on: 13 September, 2023

Article ID: e100723218595 Pages: 22

DOI: 10.2174/1872212118666230710141746

Price: $65

Abstract

Background: With the progress of science and technology and the advent of the new era, UAV remote sensing technology has developed rapidly in recent years and the application fields have been increasing. UAV remote sensing technology is widely used in the field of agriculture, crop growth monitoring, crop yield prediction, crop information monitoring, pest and disease detection and other aspects are more prominent.

Objective: By analyzing and discussing the existing Chinese patents on UAV remote sensing technology, we summarize the current applications and future development prospects of UAV remote sensing technology in China's agricultural field.

Methods: An overview of current Chinese patents on different directions of UAV remote sensing technology in the agricultural field, and an analysis of the methods used to achieve different application implementation effects.

Results: By analyzing the existing Chinese patents on UAV remote sensing technology, we conclude that the functions they can achieve for different crops can be applied to the data collection of all crops, and analyze their characteristics to summarize future development trends.

Conclusion: Through an in-depth study of Chinese UAV remote sensing patents in agriculture, it can be concluded that UAV remote sensing technology can achieve higher applicability and lower cost in agriculture, and for its information collection for one crop, it can be extended to apply to all crops. In the future, UAV remote sensing technology can be more easily and quickly applied to crop information acquisition in the agricultural field.

Keywords: UAV, agriculture, remote sensing, growth monitoring, yield estimation, disease detection.

Graphical Abstract
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