logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Recent Advances And Contribution Of Synthetic Aperture Radar Sar Applications For Agricultural Monitoring Olaniyi Ajadi

  • SKU: BELL-50655776
Recent Advances And Contribution Of Synthetic Aperture Radar Sar Applications For Agricultural Monitoring Olaniyi Ajadi
$ 31.00 $ 45.00 (-31%)

5.0

98 reviews

Recent Advances And Contribution Of Synthetic Aperture Radar Sar Applications For Agricultural Monitoring Olaniyi Ajadi instant download after payment.

Publisher: MDPI
File Extension: PDF
File size: 97.39 MB
Pages: 222
Author: Olaniyi Ajadi, David McAlpin
ISBN: 9783036573595, 3036573593
Language: English
Year: 2023

Product desciption

Recent Advances And Contribution Of Synthetic Aperture Radar Sar Applications For Agricultural Monitoring Olaniyi Ajadi by Olaniyi Ajadi, David Mcalpin 9783036573595, 3036573593 instant download after payment.

Following on from the Special Issue "Recent Advances and Contribution of Synthetic Aperture Radar (SAR) Applications for Agricultural Monitoring", we concluded that SAR has now become a pivotal sensor for agricultural monitoring. In this Special Issue, you will find a variety of background material discussing SAR and its applications. Several papers focused on using machine learning approaches with SAR to monitor crop stages and classify crops, while others focused on the polarimetric mode to estimate crop height. Going forward, we hope that you will find this Special Issue to be a useful reference.

Related Products