Productive Plant Evaluation Methods Comparison Based on Digital Images at Tea Plantation Area
Penulis/Author
Prof. Drs. Agus Harjoko, M.Sc., Ph.D. (1); Roghib Muhammad Hujja, S.Si., M.Cs. (2); Lukman Awaludin, S.Si., M.Cs. (3)
Tanggal/Date
2018
Kata Kunci/Keyword
Abstrak/Abstract
In this study, an analysis of methods developed to evaluate productive plants has been carried out. The
plants in question are plantation crops or agriculture in the broad area. The evaluation based on aerial photographs
obtained from an unmanned aerial vehicle. The evaluation method is done by using image processing to determine the
characteristics of plants in aerial photography. Classification of productive and unproductive plants will be analyzed
using several feature extraction methods including Histogram, Local Binary Pattern (LBP), Structural Similarity Index
(SSIM), Peak signal to noise ratio (PSNR), and mean square error (MSE). The results of this study which are useful
method analysis for evaluating productive plants. The result will provide benefits to plantation owners or agricultural
land, especially with large areas. This technology will be used to evaluate plantation crops or agriculture using aerial
photography so that the evaluation process can be carried out without having to walk around the land that may reach
several hectares.
