Abstract: A method for estimation of oleic acid content in soy plants using green band data of Sentinel-2/MSI: Multi Spectral Imager is proposed. Conventionally, vitality of agricultural plants is estimated with NDVI: Normalized Difference Vegetation Index. Spatial resolution of Near Infrared: NIR band of Sentinel-2/MSI for calculation of NDVI, however, is 20 m. Therefore, a method for estimation of vitality with only green band data of Sentinel-2/MSI is proposed here. Through regressive analysis with the satellite data as well as drone mounted NDVI camera data together with component analysis data by gas chromatography, it is found the correlation between NDVI and green band data of the optical sensor (MSI) onboard Sentinel-2 as well as the component analysis data. It is also found that the new variety of soy plant, Saga University brand: HO1 contains about 50% much oleic acid in comparison to the conventional variety of soy plant, Fukuyutaka.

Kohei Arai, Yoshitomo Hideshima, Yuuhi Iwaki and Ryota Ito, “Method for Estimation of Oleic Acid Content in Soy Plants using Green Band Data of Sentinel-2/MSI” International Journal of Advanced Computer Science and Applications(IJACSA), 13(4), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130407

@article{Arai2022,
title = {Method for Estimation of Oleic Acid Content in Soy Plants using Green Band Data of Sentinel-2/MSI},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130407},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130407},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {4},
author = {Kohei Arai and Yoshitomo Hideshima and Yuuhi Iwaki and Ryota Ito}
}