Monitoring and Precision Spraying for Orchid Plantation with Wireless WebCAMs

Grianggai Samseemoung, Peeyush Soni and Chaiyan Sirikul
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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

Agriculture, 2017, vol. 7, issue 10, 1-14

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 (?mol 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.

Keywords: dendrobium orchids; pests and diseases infestation; image processing; NDVI; GNDV (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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