International Journal of Statistics and Applied Mathematics
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal

2024, Vol. 9, Special Issue 6

Forecast of brinjal yield by stage wise classified meteorological weeks


Author(s): Ishwar Prasad, KK Pandey, Devendra Upadhyay and Umesh Singh

Abstract: In Chhattisgarh and throughout India, brinjal is the most important vegetable crop grown during the rabi season. Only nine of the twenty districts that make up the Chhattisgarh plain zone have been used in this study; the other eleven districts are newly constituted districts. This study was conducted for the Chhattisgarh plain zone. The study includes yield data for nine districts spanning 16 years, from 2004 to 2021. For the Chhattisgarh plain zone, the de-trend yield of 26 meteorological weeks and the same year's span of data has been employ This model is developed on composite weather parameter good Range of percent error (PD) showing for all the districts and Zone as well. Minimum and maximum MAE found for Kawardha and Durg i.e.1692.761 and 6231.02 respectively. Percent error is also on the same term of MAE. Predicted yield is very well near to actual yield. On the basis of above validation factors, we can The aforementioned methods demonstrate that both models are highly dependable for forecasting the Brinjal crop at the district and zone levels for the district located in the plain zone of Chhattisgarh. For scientists, statisticians, and agrometerologists, creating a precise, accurate, and best-fit model for the future projection was an extremely difficult assignment. May this study's novel methods help dispel the haze and establish a fresh approach to forecasting.

Pages: 69-73 | Views: 23 | Downloads: 8

Download Full Article: Click Here
How to cite this article:
Ishwar Prasad, KK Pandey, Devendra Upadhyay, Umesh Singh. Forecast of brinjal yield by stage wise classified meteorological weeks. Int J Stat Appl Math 2024;9(6S):69-73.

Call for book chapter
International Journal of Statistics and Applied Mathematics