Record Details

Evaluation of weather-based rice yield models in India

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Evaluation of weather-based rice yield models in India
 
Creator SUDHARSAN, D
ADINARAYANA, J
REDDY, DR
SREENIVAS, G
NINOMIYA, S
HIRAFUJI, M
KIURA, T
TANAKA, K
DESAI, UB
MERCHANT, SN
 
Subject Model accuracy assessment
Stand-alone DSSAT
Web-based SIMRIW
Weather-based rice yield models technologies
CLIMATE-CHANGE
CERES-RICE
EVAPORATION
VALIDATION
SYSTEMS
IMPACT
WHEAT
CROP
 
Description The objective of this study was to compare two different rice simulation models-standalone (Decision Support System for Agrotechnology Transfer [DSSAT]) and web based (SImulation Model for RIce-Weather relations [SIMRIW])-with agrometeorological data and agronomic parameters for estimation of rice crop production in southern semi-arid tropics of India. Studies were carried out on the BPT5204 rice variety to evaluate two crop simulation models. Long-term experiments were conducted in a research farm of Acharya N G Ranga Agricultural University (ANGRAU), Hyderabad, India. Initially, the results were obtained using 4 years (1994-1997) of data with weather parameters from a local weather station to evaluate DSSAT simulated results with observed values. Linear regression models used for the purpose showed a close relationship between DSSAT and observed yield. Subsequently, yield comparisons were also carried out with SIMRIW and DSSAT, and validated with actual observed values. Realizing the correlation coefficient values of SIMRIW simulation values in acceptable limits, further rice experiments in monsoon (Kharif) and post-monsoon (Rabi) agricultural seasons (2009, 2010 and 2011) were carried out with a location-specific distributed sensor network system. These proximal systems help to simulate dry weight, leaf area index and potential yield by the Java based SIMRIW on a daily/weekly/monthly/seasonal basis. These dynamic parameters are useful to the farming community for necessary decision making in a ubiquitous manner. However, SIMRIW requires fine tuning for better results/decision making.
 
Publisher SPRINGER
 
Date 2014-10-14T17:27:17Z
2014-10-14T17:27:17Z
2013
 
Type Article
 
Identifier INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 57(1)107-123
http://dx.doi.org/10.1007/s00484-012-0538-6
http://dspace.library.iitb.ac.in/jspui/handle/100/14566
 
Language en