An integrated ontology and multi-objective optimization model for intercropping decision support systems
Intercropping in rubber plantations is a resource allocation problem to achieve Multiobjective Optimisation (MOO), including higher earnings, low investment, and using less water for cultivation. Moreover, the MOO model must be suitable for area conditions. Since each farmer has different conditions...
Saved in:
Main Author: | Phoksawat, Kornkanok |
---|---|
Format: | Thesis |
Language: | eng eng eng |
Published: |
2022
|
Subjects: | |
Online Access: | https://etd.uum.edu.my/10554/1/permission%20to%20use-EMBARGO%204%20JUNE%202023-4%20JUNE%202026.pdf https://etd.uum.edu.my/10554/2/s900776_01.pdf https://etd.uum.edu.my/10554/3/s900776_02.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ontology based negative selection approach for mutation testing
by: Sualim, Sherolwendy
Published: (2019) -
Development of multi-agent based decision support student-lecturer appointment tool
by: Maureen, Gbefa Peremoboere
Published: (2017) -
Optimization of multi-holes drilling path using particle swarm optimization
by: Najwa Wahida, Zainal Abidin
Published: (2022) -
Ontology-based metabolic pathway prediction using saccharomyces cerevisiae data from genbank, ecocyc and kegg
by: Zakaria, Yuslina
Published: (2006) -
Improved hybrid teaching learning based optimization-jaya and support vector machine for intrusion detection systems
by: Mohammad Khamees Khaleel, Alsajri
Published: (2022)