Boris  Boiarskii, Hideo  Hasegawa, Mikhail  Sinegovskii, Valentina  Sinegovskaia, Grigorii  Chepelev, 
    Application of NDVI Data to Analyse the Effects of Sowing Methods and Seeding Rates on Soybean Crop Yield,
    Journal of Engineering and Applied Sciences,
    Volume 14,Issue 12,
    2019,
    Pages 4290-4294,
    ISSN 1816-949x,
    jeasci.2019.4290.4294,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2019.4290.4294)
    Abstract: In soybean agriculture, it is very important to use specific seeding rates and sowing methods for
particular varieties to ensure the production of high-quality seeds and rapid germination. At the All-Russian
Scientific Research Institute of Soybean (ARSRIS), the effects of sowing methods and seeding rates on
photosynthetic activity, crop yields and structure have been studied. We are currently introducing new
methods of crop examination using UAV and multispectral camera technologies. As an experiment, these
methods were used to show the application of UAV-derived data in crop analysis. The use of the Normalised
Difference Vegetation Index (NDVI) in agriculture is beginning to develop rapidly and the need to introduce
these technologies into the agriculture sphere is becoming urgent. Modern hardware such as multispectral
cameras, makes remote analysis more informative and has a significantly expanded range of applications. The
purpose of this research was to apply and demonstrate the relationship between obtained yield and NDVI
values in an experiment with different seeding rates. Our results showed a relationship between yield and NDVI
which will allow us to predict yield in future research on soybean analysis methods.
    Keywords: Amur Region;soybean;NDVI;breeding;seeding rate;sowing methods