- About Us
- Guidelines
-
The Author ensures that the research has been conducted responsibly and ethically with adherence to all relevant regulations. read more..
- For Authors
- For Reviewer
- Manuscript Guidelines
- Membership
-
- Journals
- Reprints
- e-Books
- Videos
- Indexing
- Contact Us
COVID-19
- Submissions
Abstract
Modern Concepts & Developments in Agronomy
Results of Geoinformation Technologies and Unmanned Aerial Vehicle Application for Maroc Locust Larvae Identification
-
Open or CloseBoltayev MD, Kambulin VY, Niyazbekov ZhB, Yessimov UO, Bashkarayev NA and
Uspanov AM*
Kazakh Research Institute for Plant protection and Quarantine after ZhazkenZhiembayev Almaty, Republic of Kazakhstan
*Corresponding author:Uspanov AM, Kazakh Research Institute for Plant protection and Quarantine after ZhazkenZhiembayev, Almaty, Republic of Kazakhstan
Submission: May 11, 2020;Published: November 11, 2020
ISSN: 2637-7659 Volume7 Issue4
Abstract
The possibility of maroc locust identification with the appliance of unmanned aerial vehicle has been studied. VARI index application allowed to identify the areas of damaged vegetation by locust. As the result of combining the processed data of remote sensing, layers of geo information system and field data, the thematic digital maps of maroc locust spread and population are taken.
Abbreviations: GIT: Geoinformation Technologies; UAVs: SmallSized Unmanned Aerial Vehicles VARI: Visible Atmospherically Resistant Index
Editor In Chief
.jpg)
Signup for Newsletter
Quick Links
Editorial Board Registrations
Submit your Article
Best Paper of the Volume
Reprints
Refer a Friend
Advertise With UsOur Recent Edition
.jpg)
Top Editors
.jpg)
.bmp)
.jpg)
.png)
.jpg)
.png)
.png)
.png)
Financial Support
Sponsors
Latest e-Books
Latest Video
a Creative Commons Attribution 4.0 International License. Based on a work at www.crimsonpublishers.com.
Best viewed in 
| Above IE 9.0 version