Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/753
DC Field | Value | Language |
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dc.contributor.author | Abdul Latif, N.S. | en_US |
dc.contributor.author | Anuar Mushoddad, N.A.M. | en_US |
dc.contributor.author | Mior Azmai, N.S. | en_US |
dc.date.accessioned | 2021-02-28T04:49:30Z | - |
dc.date.available | 2021-02-28T04:49:30Z | - |
dc.date.issued | 2020-12-28 | - |
dc.identifier.issn | 17551307 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/753 | - |
dc.description | Scopus | en_US |
dc.description.abstract | Farm management involves the development of long-term strategies to increase the profitability and competitiveness of its agricultural business. In recent years, mathematical models have been extended to the agriculture sector as a decision-making tool to ensure continuous and optimum supply. One of the well-known mathematical functions by Pierre François Verhulst, the Logistic function, has been widely used in modelling population growth rates. Many processes in biology, ecology, and other areas follow this S-shaped logistic growth. This paper explores the application of a simple logistic growth model for agriculture management strategies. Two applications illustrated here; vegetative growth response of banana to foliar fertiliser and growth of grey mould disease infection on different drying tomato coating period. The model presented here quantitatively estimates the effectiveness of the procedure used. | en_US |
dc.description.sponsorship | Universiti Malaysia Kelantan | en_US |
dc.language.iso | en | en_US |
dc.publisher | IOP Publishing Ltd | en_US |
dc.relation.ispartof | IOP Conference Series: Earth and Environmental Science | en_US |
dc.subject | Agricultural robots | en_US |
dc.subject | Agriculture | en_US |
dc.subject | Competition | en_US |
dc.subject | Decision making | en_US |
dc.subject | Functions | en_US |
dc.title | Agriculture Management Strategies Using Simple Logistic Growth Model | en_US |
dc.type | International | en_US |
dc.relation.conference | International Conference on Science and Technology 2020, ICoST 2020 | en_US |
dc.identifier.doi | 10.1088/1755-1315/596/1/012076 | - |
dc.volume | 596 (1) | en_US |
dc.description.articleno | 012076 | en_US |
dc.date.seminarstartdate | 2020-09-10 | - |
dc.date.seminarenddate | 2020-09-10 | - |
dc.description.placeofseminar | Malaysia | en_US |
dc.description.type | Proceeding Papers | en_US |
item.openairetype | International | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
Appears in Collections: | Faculty of Agro - Based Industry - Proceedings |
Files in This Item:
File | Description | Size | Format | |
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Agriculture-Management-Strategies-Using-Simple-Logistic-Growth-Model2020IOP-Conference-Series-Earth-and-Environmental-Science.pdf | 1.22 MB | Adobe PDF | View/Open |
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