Predicting crop yield of triticale in the regions of Russia for the production of bread products using the CGMS system

DOI

10.2991/ispc-19.2019.54How to use a DOI?

Keywords

forecasting, triticale, yield forecast, CGMS

Abstract

Forecasting crop yields is important part for the agricultural development system of the country. The production and prediction of triticale yields have direct impact on national and international economies, and play an important role in the food management in Russia. In Russia, special attention is paid to the production of triticale by bakeries as an agricultural crop, surpassing other cultures in quantitative protein content and qualitative amino acid composition. The objective of this study is to investigate how we can best predict triticale yield during the vegetation period in Russia. The approach used in this study is based on a crop growth model which is able to quantify the effect of weather conditions on crop growth. The model focuses on predictors from Crop Growth Monitoring System (CGMS) and triticale crop yield data in 20 administrative districts of Russia.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Alena Zemlyankina
AU  - Tatiana Larina
PY  - 2019/06
DA  - 2019/06
TI  - Predicting crop yield of triticale in the regions of Russia for the production of bread products using the CGMS system
BT  - Proceedings of the International Scientific and Practical Conference “Digital agriculture - development strategy” (ISPC 2019)
PB  - Atlantis Press
SP  - 242
EP  - 245
SN  - 1951-6851
UR  - https://doi.org/10.2991/ispc-19.2019.54
DO  - 10.2991/ispc-19.2019.54
ID  - Zemlyankina2019/06
ER  -