THE PREDICTIVE MODEL FOR THE NITROGEN SUPPLY ESTIMATION OF AGRICULTURAL PLANTS

The article deals with the description of the creating method for a predictive model of the nitrogen supply and the comparison of the obtained predictive models based on different vegetative indices. The predictive models for plants of the «Protva» bean species of Russian selection at various concentrations of total nitrogen in the soil are presented in the article. All models were obtained on the basis of comparative analysis of various vegetative indices. The authors propose to use the obtained predictive model for determining current concentration of nitrogen in the soil. Such information can be used for creating soil maps of a field with a high spatial resolution, which are successfully used to apply fertilizers in precision farming systems and can significantly improve productivity and yield.

Авторы
Vvedenskaya A.V.1 , Gins M.S. 2 , Khorokhorov A.M.1 , Vvedenskiy V.V. 2 , Peliy A.F. 2 , Diop A. 2 , Borodina E.S. , Ulyumdzhieva V.E. 2 , Gadzhikurbanov A.Sh. 2 , Notina E.A. 2
Сборник материалов конференции
Издательство
Российский университет дружбы народов (РУДН)
Язык
Английский
Страницы
15-18
Статус
Опубликовано
Год
2018
Организации
  • 1 Bauman Moscow State Technical University
  • 2 RUDN University
  • 3 MTAA named after K.A. Timiryazev
Ключевые слова
predictive model; spectral method; vegetative index; agricultural plants; remote sensing; nitrogen
Дата создания
07.11.2019
Дата изменения
11.03.2021
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/53466/