Authors : Boris Boiarskii, Hideo Hasegawa, Mikhail Sinegovskii, Valentina Sinegovskaia and Grigorii Chepelev
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.
Boris Boiarskii, Hideo Hasegawa, Mikhail Sinegovskii, Valentina Sinegovskaia and Grigorii Chepelev, 2019. Application of NDVI Data to Analyse the Effects of Sowing Methods and Seeding Rates on Soybean Crop Yield. Journal of Engineering and Applied Sciences, 14: 4290-4294.