Follow
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020]For more details click here

Login as a Reviewer

Indexed in



National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

See Guidelines to Authors
Current Issues

Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(12): 780-790
DOI: https://doi.org/10.20546/ijcmas.2020.912.093


Modeling and Forecasting of Rice Yield in Western Uttar Pradesh
Sunil Kumar*, P. Punia, P. Kashyap, A. L. Meena and Jairam Choudhary
ICAR-Indian Institute of Farming Systems Research, Modipuram, Meerut, U.P., India
*Corresponding author
Abstract:

This findings of this research presents a new Integrated Farming System (IFS) ver. 1.1 developed model and data sets that can fulfil the requirement of the growing community of end-users which has been demonstrated by a set for rice crop growers. This farm simulation model has been utilized to analyze the effects of the nutrient amendment, pond soil on the yield of rice and the effect of climatic parameters like sunshine and rainfall on crop performance which was then used to calibrate the model for the experimental field of institute’s experimental site. Using data the model was validated over the next year's crop cycle at the farm scale. The current study shows how development of integrated farming system (IFS) ver. 1.1 model has been undertaken by simulating the current scenario being confronted by the rice growing farmers of western Uttar Pradesh plain zone resulting in technological modifications that are required to enhance the farming community profitability and productivity. By controlling the management practices which are in control and practically feasible by farmers for example: like date of sowing and application of non-chemical nutrient amendments, farmers have scope to enhance income as well as increase the profitability resulting in use of less input and cost of cultivation thus an increase in cost-benefit ratio. The current study results reveal that technological interventions undertaken based on land use planning results in a system that can result in increased gains and sustainable livelihood through the farming system. This developed model shall act as an informative and innovative tool which can renovate a low paying farming production system into a high compensable farming system while utilizing existing farm resources on a sustainable basis. The suggested model in this study can also be useful in academic purposes which involve in the integrated farming system and its behaviour as well as output in response to variable inputs.


Keywords: Rice crop model, Crop phenology, Yield and profitability and productivity
Download this article as Download

How to cite this article:

Sunil Kumar, P. Punia, P. Kashyap, A. L. Meena and Jairam Choudhary. 2020. Modeling and Forecasting of Rice Yield in Western Uttar Pradesh.Int.J.Curr.Microbiol.App.Sci. 9(12): 780-790. doi: https://doi.org/10.20546/ijcmas.2020.912.093