Prediction of daily pan evaporation using neural networks models
Journal Title: Agricultural Advances - Year 2012, Vol 1, Issue 5
Abstract
The investigation was carried out to develop and test the daily pan evaporation prediction models using various weather parameters as input variables with artificial neural network (ANN) and validated with the independent subset of data for five different locations in India. The measured variables included daily observations of maximum and minimum temperature, maximum and minimum relative humidity, wind speed, sunshine hours, rainfall and pan evaporation. In this general model (GM) model development and evaluation has been done for the five locations viz. NRCC, Nagpur (M.S.); JNKVV, Jabalpur (M.P.); PDKV, Akola (M.S.); ICRISAT, Hyderabad (A.P.) and MPUAT, Udaipur (Raj.). The daily data of pan evaporation and other inputs for two years was considered for model development and subsequent 1-2 years data for validation. Weather data consisting of 3305 daily records from 2002 to 2006 were used to develop the GM models of daily pan evaporation. Additional weather of Nagpur station, which included 2139 daily records from 1996 - 2004, served as an independent evaluation data set for the performance of the models. The model plan strategy with all inputs has shown better performance than the reduced number of inputs. The General ANN models of daily pan evaporation with all available variables as a inputs was the most accurate model delivering an R2 of 0.84 and a root mean square error 1.44 mm for the model development data set. The GM evaluation with Nagpur model development (NMD) data shown lowest RMSE (1.961 mm), MAE (0.038 mm) and MARE (2.30 %) and highest r (0.848), R2 (0.719) and d (0.919) with ANN GM M-1with all input variables.
Authors and Affiliations
P. S. Shirgure*| National Research Centre for Citrus, Nagpur, Maharashtra, India – 440 010., G. S. Rajput| National Research Centre for Citrus, Nagpur, Maharashtra, India – 440 010.
Keywords
Related Articles
- EP ID EP493
- DOI -
- Views 464
- Downloads 21
Effect of biological phosphate and chemical phosphorus fertilizer on yield quality and quantity of Ajowan (Carum Copticu
In order to study the effect of biologicalphosphate and chemical phosphorus fertilizer on yield qualityand quantity of Ajowan (Carum copticum) medicinal plant, anexperiment was conducted as factorial experiment in the...
Covariance components and genetic parameter estimation for 18 month weight in Nguni and Tuli cattle of Zimbabwe
An animal model wasapplied to estimate variance components and heritability estimates from weightat 18-months (18-mo) pedigree records of two experimental herds of Nguni and Tuli cattle maintained on rangeat Matopos...
Modern technologies and Nigerian’s small scale farmers: constraints and prospects of its adoption
In spite of abundant modern technologies and guide lines available for use in increasing Agricultural productivity, most of the Nigeria small scale farmers who constitute the majority in agricultural sector cannot adop...
Response of wheat seed to priming combinations
An experiment using the randomized complete block design in three replications was conducted in 2013 under laboratory conditions to study the effects of different treatments of hydro-priming and osmo-priming on seed ge...
Freezing stress effects on antioxidant enzyme activities, ion leakage and lipid peroxidation of olive (Olea Europaea L.
Changes in freezing injury percentage, malonaldehyde (MDA; as indicator of lipid peroxidation), antioxidant enzymes activity and proline content were monitored in the leaves of olive cvs. Fishomi and Roughani under dif...