UPM Institutional Repository

How can aerial imagery and vegetation indices algorithm can be used for monitoring crop through geotagged system? A review


Citation

Kumaran, Vikneswaran Jeya and Mohidem, Nur Adibah and Che’ya, Nik Norasma and Wan Ilahi, Wan Fazilah and Arif Shah, Jasmin and Yusof, Norhakim (2023) How can aerial imagery and vegetation indices algorithm can be used for monitoring crop through geotagged system? A review. Advances in Agricultural and Food Research Journal, 4 (1). pp. 2-10. ISSN 2735-1084

Abstract

As the world population grows, it is crucial that food production is linearly proportional to the growing demands of food across the globe. The agriculture sector has many opportunities as well as challenges in the upcoming years. Many innovations have been achieved in the previous years and there are more technologies being researched annually. To automize agriculture, unmanned aerial vehicles (UAV) are extensively being studied to be applied in agriculture. This technology is being explored by integrating it with other sciences as well such as vegetation indices. Vegetation indices allow extensive analysis to be done on the images taken through the UAV. Currently, there are many studies that are done to monitor crops using information obtained from vegetation indices derived from aerial imagery. The crops that are monitored are also geotagged so that precise information can be extracted. This paper will be assessing the usage of aerial imagery, vegetation indices as well as geotagging to monitor crops.


Download File

Full text not available from this repository.

Additional Metadata

Item Type: Article
Divisions: Faculty of Agriculture
DOI Number: https://doi.org/10.36877/aafrj.a0000316
Publisher: HH Publisher
Keywords: Aerial imagery; Vegetation indices; Geotagging; Unmanned Aerial Vehicle (UAV); Life on land
Depositing User: Ms. Zaimah Saiful Yazan
Date Deposited: 12 Sep 2024 06:58
Last Modified: 12 Sep 2024 06:58
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.36877/aafrj.a0000316
URI: http://psasir.upm.edu.my/id/eprint/108198
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item