Monitoring of Crop Growth Status based on UAV Multi-Sensor

DOI

10.2991/978-94-6463-540-9_44How to use a DOI?

Keywords

Plant Protection UAV; Crop Growth Status Monitoring; Remote Sensing Monitoring; Precision Agriculture

Abstract

In recent years, the technology of remote sensing has achieved rapid development in UAV. In addition, the global reduction of arable land has led to increased food security challenges, and the demand for precision agriculture is increasing, and more and more drones are being used in this area. Compared with the traditional satellite remote sensing monitoring crops, UAV with remote sensing has the advantages of high flexibility, little influence by high altitude atmosphere, low cost and high quality of remote sensing images.In order to learn the working principle and shortcomings of UAV remote sensing, this paper mainly introduces and summarizes the types of UAV sensors and the acquisition of data, how to get information on crop growth status and farmland environment including diseases and insect pests, growth stage, weeds and soil environment, through large-scale processing of raw data. This paper also compares the remote sensing effects of different sensors and analyzes the application characteristics of different sensors. This paper also compares traditional algorithm with deep learning methods and list some potential problems. Then the author lists three possible solutions that include secondary analysis, the adoption of iot technologies, and the development of lightweight deep learning systems. Finally, the author analyzes the application prospects and challenges of the technology of UAV remote sensing in view of the current environment and development trend.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lechu Wang
PY  - 2024
DA  - 2024/10/16
TI  - Monitoring of Crop Growth Status based on UAV Multi-Sensor
BT  - Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
PB  - Atlantis Press
SP  - 446
EP  - 455
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-540-9_44
DO  - 10.2991/978-94-6463-540-9_44
ID  - Wang2024
ER  -