Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
Article Fingerprint
ReserarchID
O1B17
In this paper, an optimization model was formulated to maximize profit from cultivation while satisfying several factors like cropping area, irrigation water supply, cropping cycle, market demand. The model was applied at Kalihati, Tangail, Bangladesh for the Agricultural year 2012-2013. The cropping area available at the location was 17750 hectors and maximum irrigation water available was 1267983700 cubic meter. The crops selected for the model were most traditional for the studied area and produced in large proportions compared to others. The model provided optimum value for cropping area and irrigation water depth that maximize the objective function.
Hasan Symum. 2015. \u201cLinear Programming Model to Optimize Water Supply and Cropping area for Irrigation: A Case Study for Kalihati\u201d. Global Journal of Research in Engineering - G: Industrial Engineering GJRE-G Volume 15 (GJRE Volume 15 Issue G2): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 132
Country: United States
Subject: Global Journal of Research in Engineering - G: Industrial Engineering
Authors: Hasan Symum, Mohamad F. Ahmed (PhD/Dr. count: 0)
View Count (all-time): 259
Total Views (Real + Logic): 4176
Total Downloads (simulated): 2115
Publish Date: 2015 07, Tue
Monthly Totals (Real + Logic):
Neural Networks and Rules-based Systems used to Find Rational and
A Comparative Study of the Effeect of Promotion on Employee
The Problem Managing Bicycling Mobility in Latin American Cities: Ciclovias
Impact of Capillarity-Induced Rising Damp on the Energy Performance of
In this paper, an optimization model was formulated to maximize profit from cultivation while satisfying several factors like cropping area, irrigation water supply, cropping cycle, market demand. The model was applied at Kalihati, Tangail, Bangladesh for the Agricultural year 2012-2013. The cropping area available at the location was 17750 hectors and maximum irrigation water available was 1267983700 cubic meter. The crops selected for the model were most traditional for the studied area and produced in large proportions compared to others. The model provided optimum value for cropping area and irrigation water depth that maximize the objective function.
We are currently updating this article page for a better experience.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.