KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/47171
Title: | Identification of optimal crop plan using nature inspired metaheuristic algorithms |
Other Titles: | Not Available |
Authors: | Kamalika Nath Rajni Jain Sudeep Marwaha Alka Arora |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Agricultural Research Institute ICAR::National Institute of Agricultural Economics and Policy Research ICAR::Indian Agricultural Statistics Research Institute ICAR::Indian Agricultural Statistics Research Institute |
Published/ Complete Date: | 2020-08-01 |
Project Code: | Not Available |
Keywords: | Crop plan Differential Evolution (DE) Genetic Algorithm (GA) Linear programming Metaheuristic Particle Swarm Optimization (PSO) |
Publisher: | Not Available |
Citation: | Kamalika Nath, Rajni Jain, Sudeep Marwaha, Himadri Shekhar Roy and Alka Arora(2020). Identification of optimal crop plan using nature inspired metaheuristic algorithms, Indian Journal of Agricultural Sciences 90 (8): 1587–92 |
Series/Report no.: | Not Available; |
Abstract/Description: | The present study deals with the identification of optimal crop plan to improve the net benefits from the farming activities for the study area under consideration.Three nature inspired metaheuristic techniques namely Differential Evolution (DE), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) are investigated to identify the most efficient crop plan to maximize the net farm benefits. Different resource constraints considered for the study are maximum available land area, ground water availability and cropped area for different crops. The obtained results are compared with the solutions from LINGO, software for Linear Programming (LP). The results reveal the net benefit per ha derived using DE, PSO, GA and LINGO are 73841.69, 73439.08, 70555.99 and 73841.65 Indian Rupees (INR) respectively for kharif crops and 20184.71, 20172.78, 19860.80 and 20184.70 ` (INR) respectively for rabi crops. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Indian Journal of Agricultural Sciences |
NAAS Rating: | 6.21 |
Volume No.: | 90(8) |
Page Number: | 223-228 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/47171 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Kamolika Paper.pdf | 731.91 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.