Volume 16, Issue 59 (spring 2012)                   JWSS 2012, 16(59): 215-231 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

L. Khodakarami, A. Soffianian. Application of Multi Temporal Remote Sensing for Precision Farming. JWSS. 2012; 16 (59) :215-231
URL: http://jstnar.iut.ac.ir/article-1-2209-en.html
, soffianian@cc.iut.ac.ir
Abstract:   (14679 Views)
Precision farming aims to optimize field-level management by providing information on production rate, crop needs, nutrients, pest/disease control, environmental contamination, timing of field practices, soil organic matter and irrigation. Remote sensing and GIS have made huge impacts on agricultural industry by monitoring and managing agricultural lands. Using vegetation indices have been widely used for quantifying net annual production on different scales. The aim of this study was to find a rapid method with acceptable precision for the identification and classification of agricultural lands under cultivation (wheat and barley, alfalfa and potatoes). We used multi-temporal AWiFS data and applied Boolean logic and unsupervised classification. Results indicated that Boolean logic approach had a higher accuracy and precision in comparison to unsupervised classification, although it is more complicated and time consuming.
Full-Text [PDF 471 kb]   (9610 Downloads)    
Type of Study: Research | Subject: Ggeneral
Received: 2012/07/4

Add your comments about this article : Your username or Email:
CAPTCHA

© 2020 All Rights Reserved | JWSS - Isfahan University of Technology

Designed & Developed by : Yektaweb