Modeling and optimization of energy inputs and greenhouse gas emissions for eggplant production using artificial neural network and multi-objective genetic algorithm
Journal Title: International journal of Advanced Biological and Biomedical Research - Year 2013, Vol 1, Issue 11
Abstract
This paper studies the modeling and optimization of energy use and greenhouse gas emissions of eggplant production using artificial neural network and multi-objective genetic algorithm in Guilan province of Iran. Results showed that the highest share of energy consumption belongs to diesel fuel (49.24%); followed by nitrogen (33.30%). The results indicated that a total energy input of 13910.67 MJ ha-1 was consumed for eggplant production. In ANN, the Levenberg-Marquardt Algorithm was examined to finding best topology for modeling and optimization of energy inputs an GHG emissions for eggplant production. The results of ANN indicated the best topology with 12-9-9-2 structure had the highest R2, lowest RMSE and MAPE. Also, the multi-objective optimization was done by MOGA. In this research, 42 optimal was introduced by MOGA based minimum total GHG emissions and maximum yield of eggplant production, in the studied area. Also, the results revealed that the best generation with lowest energy use was consumed about 4597 MJ per hectare. The GHG emissions of best generation was calculated as about 127 kg CO2eq. ha-1. The potential of GHG reduction by MOGA was computed as 388.48 kg CO2eq. ha-1. Also, the highest reduction of GHG emissions belongs to diesel fuel with 65.05%.
Authors and Affiliations
Ashkan Nabavi-Pelesaraei| Department of Agricultural Machinery Engineering, Faculty of Agriculture, University of Tabriz, Iran, E-mail: ashkan.nabavi@yahoo.com, Sajjad Shaker-Koohi| Department of Agronomy and Plant Breeding, Faculty of Agriculture, University of Tabriz, Iran, Mohammad Bagher Dehpour| Department of Agricultural Mechanization Engineering, Faculty of Agriculture, University of Guilan, Iran
Keywords
Related Articles
- EP ID EP12941
- DOI -
- Views 300
- Downloads 13
Effect of gamma irradiation on morphological traits of three varieties of sesame crop in M1 generation (sesamum indicum L.)
The main objective for plant breeding is to increase genetic diversity. Mutation induction is a method to increase genetic diversity associated with selection, recombination, or a combination of these approaches in pla...
Study on some aspects of seed viability and vigor
Influences on viability and germination of seeds have been studied intensively for many years, particularly for the numer-ous commercially important agricultural, ornamental, and timber species. High germinating seed l...
Pomegranate (Punica granatum L.) seed: A comparative study on biochemical composition and oil physicochemical characteristics
The pomegranate seeds of four Iranian commercial varieties (Abanmahi (AB), Malas (MS), Pust Sefid (PS) and Shahvar (SH)) were evaluated in terms of some quality properties including protein, oil, dietary fiber, mineral...
Simulation shrinkage and stress generated during convective drying of carrot slices
The moist sample shrinks during drying and the non-uniformity shrinkage involves stresses in the body. The aim of the present work is simulating deformations and drying-induced stresses of carrot slice during a convect...
Cinnamon Effect on Kidney Histological Changes Induced by Gentimicin in Rats
Background and objective: Gentimicin is an antibiotic from the family of Aminoglycosides used in the treatment of infections resulted from Gram-negative bacteria, the use of which is limited due to its nephrotoxicity. In...