Grain yield forecasting based on vegetative index data

Title : Grain yield forecasting based on vegetative index data

Abstract:

To predict the yield, some current indicators of the vegetation process are used, which are associated with the productivity of the crop. The results of the methodology for predicting grain yields based on the maximum value of the NDVI index, when the heading phase has begun, are proposed. The seasonal dynamics of NDVI in the phases of crop development was studied, peaks of NDVI values were noted in the heading phase of crops. Prognostic models of crop yields based on polynomial functions have been obtained.

Biography:

Doctor Rodimtsev studied engineering at the Highway Institute of the city of Tashkent, Uzbekistan. He graduated from graduate school at the Oryol Agrarian University in 2001. In the same year he defended his Ph.D. thesis at the Russian Agrarian University. In 2008, in the same place, he defended his doctorate in agricultural mechanization. He worked at the Oryol Agrarian University as a teacher, head of the department, director of the institute, vice-rector for scientific work. He currently works at the Department of Machine Service and Repair of Oryol State University. More than 180 scientific papers have been published.