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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...
In this paper, a combination of neural networks and genetic algorithms have been used to predict and maximize lemon grass oil production. The best combinations could be assessed for N+P2O5+ZnSO4 (Kgha-1) as 89.03 + 60.00 + 40.65, 114.84 + 60.00+33.39, 120.00 + 54.84 + 42.10 and 120.00 + 60.00+45.00 respectively for maximum oil production. Contribution of each nutrient combinations is also identified.
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