Open AccessMethod to Calculate the Surface Area of roots by Digital Image Processing
Author(s) -
Márcio Hosoya Name
Publication year - 2019
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/latinoware.2019.10348
Subject(s) - intersection (aeronautics) , context (archaeology) , software , computer science , plug in , image processing , java , digital image processing , root (linguistics) , digital image , correlation coefficient , computer vision , image (mathematics) , machine learning , engineering , biology , paleontology , linguistics , philosophy , programming language , aerospace engineering
The evaluation of root crops is important for better understanding of the effects of plant nutrition and nutrient management in the soil. However, the studies and the root system of the culture are slow, require a long time and show low precision results. In this context, digital image processing can be an alternative. The objective of this study was to develop a computational method to assist in the evaluation of the surface area of soybean roots. It was initially developed in Java platform by providing the OpenCV library through the plug-in JavaCV. Then, after the manual count, the soybean root samples that have been scanned, were loaded into the software. The software developed results were correlated with the intersection of the line method. The correlation coefficient (R = 0.77) obtained by the software developed was on average good, compared to the métododa line intersection. Therefore, in general, the proposed method was necessary paraestimar the surface area of the soybean roots.