Research Papers

Oil palm pest infestation monitoring and evaluation by helicopter-mounted, low altitude remote sensing platform

[+] Author Affiliations
Grianggai Samseemoung

Asian Institute of Technology, Agricultural Systems and Engineering, KlongLuang Pathumthani, 12120, Thailand

Hemantha P. W. Jayasuriya

Sultan Qaboos University, College of Agricultural and Marine Sciences, Department of Soils, Water and Agricultural Engineering, P.O. Box 34, PC 123, Al-Khod, Oman

Peeyush Soni

Asian Institute of Technology, Agricultural Systems and Engineering, KlongLuang Pathumthani, 12120, Thailand

J. Appl. Remote Sens. 5(1), 053540 (August 04, 2011). doi:10.1117/1.3609843
History: Received August 10, 2010; Revised June 08, 2011; Accepted June 21, 2011; Published August 04, 2011; Online August 04, 2011
Text Size: A A A

Timely detection of pest or disease infections is extremely important for controlling the spread of disease and preventing crop productivity losses. A specifically designed radio-controlled helicopter mounted low altitude remote sensing (LARS) platform can offer near-real-time results upon user demand. The acquired LARS images were processed to estimate vegetative-indices and thereby detecting upper stem rot (Phellinus Noxius) disease in both young and mature oil palm plants. The indices helped discriminate healthy and infested plants by visualization, analysis and presentation of digital imagery software, which were validated with ground truth data. Good correlations and clear data clusters were obtained in characteristic plots of normalized difference vegetation index (NDVI)LARS and green normalized difference vegetation indexLARS against NDVISpectro and chlorophyll content, by which infested plants were discriminated from healthy plants in both young and mature crops. The chlorophyll content values (μmol m−2) showed notable differences among clusters for healthy young (972 to 1100), for infested young (253 to 400), for healthy mature (1210 to 1500), and for infested mature (440 to 550) oil palm. The correlation coefficients (R2) were in a reasonably acceptable range (0.62 to 0.88). The vegetation indices based on LARS images, provided satisfactory results when compared to other approaches. The developed technology showed promising scope for medium and large plantations.

Figures in this Article
© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation

Grianggai Samseemoung ; Hemantha P. W. Jayasuriya and Peeyush Soni
"Oil palm pest infestation monitoring and evaluation by helicopter-mounted, low altitude remote sensing platform", J. Appl. Remote Sens. 5(1), 053540 (August 04, 2011). ; http://dx.doi.org/10.1117/1.3609843


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

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.