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Monitoring and Precision Spraying for Orchid Plantation with Wireless WebCAMs

Author

Listed:
  • Grianggai Samseemoung

    (Department of Agricultural Engineering, Rajamangala University of Technology Thanyaburi, Pathumthani 12110, Thailand)

  • Peeyush Soni

    (Department of Food, Agriculture and Bioresources, Asian Institute of Technology (AIT), Pathumthani 12120, Thailand)

  • Chaiyan Sirikul

    (Department of Agricultural Engineering, Rajamangala University of Technology Thanyaburi, Pathumthani 12110, Thailand)

Abstract

Through processing images taken from wireless WebCAMs on the low altitude remote sensing (LARS) platform, this research monitored crop growth, pest, and disease information in a dendrobium orchid’s plantation. Vegetetative indices were derived for distinguishing different stages of crop growth, and the infestation density of pests and diseases. Image data was processed through an algorithm created in MATLAB ® (The MathWorks, Inc., Natick, USA). Corresponding to the orchid’s growth stage and its infestation density, varying levels of fertilizer and chemical injections were administered. The acquired LARS images from wireless WebCAMs were positioned using geo-referencing, and eventually processed to estimate vegetative-indices (Red = 650 nm and NIR = 800 nm band center). Good correlations and a clear cluster range were obtained in characteristic plots of the normalized difference vegetation index (NDVI) and the green normalized difference vegetation index (GNDVI) against chlorophyll content. The coefficient of determination, the chlorophyll content values (μmol m −2 ) showed significant differences among clusters for healthy orchids ( R 2 = 0.985–0.992), and for infested orchids ( R 2 = 0.984–0.998). The WebCAM application, while being inexpensive, provided acceptable inputs for image processing. The LARS platform gave its best performance at an altitude of 1.2 m above canopy. The image processing software based on LARS images provided satisfactory results as compared with manual measurements.

Suggested Citation

  • Grianggai Samseemoung & Peeyush Soni & Chaiyan Sirikul, 2017. "Monitoring and Precision Spraying for Orchid Plantation with Wireless WebCAMs," Agriculture, MDPI, vol. 7(10), pages 1-14, October.
    • Handle: RePEc:gam:jagris:v:7:y:2017:i:10:p:87-:d:114533
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    Citations

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    Cited by:

    1. Chaiyan Sirikun & Grianggai Samseemoung & Peeyush Soni & Jaturong Langkapin & Jakkree Srinonchat, 2021. "A Grain Yield Sensor for Yield Mapping with Local Rice Combine Harvester," Agriculture, MDPI, vol. 11(9), pages 1-17, September.
    2. Grianggai Samseemoung & Peeyush Soni & Pimsiri Suwan, 2017. "Development of a Variable Rate Chemical Sprayer for Monitoring Diseases and Pests Infestation in Coconut Plantations," Agriculture, MDPI, vol. 7(10), pages 1-13, October.
    3. Jelle Van Loon & Alicia B. Speratti & Louis Gabarra & Bram Govaerts, 2018. "Precision for Smallholder Farmers: A Small-Scale-Tailored Variable Rate Fertilizer Application Kit," Agriculture, MDPI, vol. 8(4), pages 1-14, March.

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