Research Papers

Suitability of low-altitude remote sensing images for estimating nitrogen treatment variations in rice cropping for precision agriculture adoption

[+] Author Affiliations
Kishore C. Swain, Hemantha P. Jayasuriya, Vilas M. Salokhe

Asian Institute of Technology

J. Appl. Remote Sens. 1(1), 013547 (November 21, 2007). doi:10.1117/1.2824287
History: Received July 24, 2007; Revised November 14, 2007; Accepted November 14, 2007; November 21, 2007; Online November 21, 2007
Text Size: A A A

Abstract

A low-altitude remote sensing (LARS) system with an unmanned radio-controlled helicopter platform was used to acquire high-quality images of land and crop properties with higher spatial and temporal resolution. It is vital to visualize the relationship of LARS-based images with crop parameters, such as crop nutrient levels, etc. Five N-treatment (0, 33, 66, 99 and 132 kg ha-1>) rates with three replications each were arranged in a randomized manner for testing the LARS image acquisition system. Images were taken by the image acquisition unit of the system operated at a height of 20 m over the experimental plots. The coefficient of determination (r2>) between N-treatments against NDVIlars>, NDVIspectro>, GNDVIlars>, and chlorophyll content estimated from leaf radiance values were in the range from 0.70 to 0.90, showing a high level of correlation between them. The test to verify the suitability of LARS-based images against spectrophotometer readings showed linear variation for the NDVI index with r2> of 0.70 and 0.80 for 45-day-old and 65-day-old crops, respectively, Linear models were also developed to estimate chlorophyll content from NDVIlars> and GNDVIlars> index values, from the images, with better correlation for the latter (r2> ≈ 0.82) and subsequently could determine the nitrogen deficiency level. The yield estimation model, with higher r2> values of 0.95 and 0.98 for NDVIlars> and GNDVIlars>, respectively, further justified the suitability of the LARS system.

© 2007 Society of Photo-Optical Instrumentation Engineers

Citation

Kishore C. Swain ; Hemantha P. Jayasuriya and Vilas M. Salokhe
"Suitability of low-altitude remote sensing images for estimating nitrogen treatment variations in rice cropping for precision agriculture adoption", J. Appl. Remote Sens. 1(1), 013547 (November 21, 2007). ; http://dx.doi.org/10.1117/1.2824287


Figures

Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.