DocumentCode :
3216917
Title :
Hybrid computational method for optimizing isabgol production
Author :
Singh, Brajesh Kumar ; Mishra, K.K. ; Punhani, Akash ; Manorama
Author_Institution :
Dept. of Comput. Sci. & Eng., R.B.S. Coll., Agra, India
fYear :
2009
fDate :
9-11 Dec. 2009
Firstpage :
1568
Lastpage :
1571
Abstract :
Hybrid computational method was used on the basis of available experimental data and production- nutrient ratios were obtained to suggest best nutrient combinations for getting more profitable production of Isabgol. Nutrient combinations could be computed for the choice of farmer. However nutrient combination N 54.435 + P2O5 12.097 + K2O 4.839 Kgha-1 could be detected as best solution for farmers recommendation.
Keywords :
agricultural products; agriculture; fertilisers; profitability; Isabgol production optimization; K2O; N; P2O5; best nutrient combinations; hybrid computational method; production-nutrient ratios; Agricultural engineering; Artificial neural networks; Computer science; Data engineering; Educational institutions; Fertilizers; Genetic algorithms; Genetic mutations; Optimization methods; Optimized production technology; Genetic algorithm; Grain production; back propagation neural network; fertilizers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
Type :
conf
DOI :
10.1109/NABIC.2009.5393678
Filename :
5393678
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=3216917
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