Evaluation of Sugarcane Plant Height using UAV Remote Sensing
doi: 10.14456/mijet.2021.15
Keywords:
Sugarcane height, UAV, remote sensing, image processingAbstract
The objective of this research is to evaluate the plant height (PH) of sugarcane during the 3 months pre-harvest using imagery-derived UAV. The study area is located in Muang Phimai District, Nakhon Ratchasima Province, Thailand, by taking aerial imagery by UAV with a 12M pixel camera was acquired by flying at an altitude of 90 meters and analyzed the correlations between PH data 120 data example of field and the data from by the UAV, including reflectance values, and digital elevation model (DEM). The analysis was carried out at ground sampling distance (GSD) 100 cm. Process data was processed using 3 methods of machine learning, such as generalized linear model, decision tree and support vector machine .The result showed correlation between measured PH and estimated PH the support vector machine best accuracy is R2 = 0.82 and RMSE = 0.19, the method presented in this study can be used as a guideline for estimating the above-ground altitude of sugarcane by aerial images from a UAV 3 months prior to harvesting.
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Photiwut Bunruang was born in 1997 at Buriram province, Thailand. He received his Bachelor degree in department of Civil Engineering from faculty of Engineering, Mahasarakham University, Thailand in 2018.
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