Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/68191
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dc.contributor.authorBenjamas Kumsueben_US
dc.contributor.authorAttachai Jintraweten_US
dc.date.accessioned2020-04-02T15:23:11Z-
dc.date.available2020-04-02T15:23:11Z-
dc.date.issued2020-01-01en_US
dc.identifier.issn25869396en_US
dc.identifier.other2-s2.0-85078223403en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078223403&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/68191-
dc.description.abstract© 2020, King Mongkut's Institute of Technology Ladkrabang. All rights reserved. Crop Simulation Models (CSM) is necessary for understanding and predicting overall agroecosystem performance for specific purposes. Recently, the DSSAT-CSM model has been applied widely to simulate, evaluate and predict the future particularly the scenario choices of decision-makers. Cassava is the main crop that grows in many parts of Thailand. For getting higher yield and greater economic benefit, the crop should be well management. Thus, the DSSAT-CROPSIM-cassava model was developed and applied in various research works to enhance productivity across a range of biophysical, environmental and economic areas. Various research teams are also trying to explore the site-specific technology, preparing to uncertainty threat for the next future but still on the early stage of development. There is a need for more research, teams and resources to develop this technology for precise and effective recommendations for farmers in the near future.en_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectEnvironmental Scienceen_US
dc.titleDevelopment of DSSAT CROPSIM-cassava model in Thailand: A review current developmenten_US
dc.typeJournalen_US
article.title.sourcetitleCurrent Applied Science and Technologyen_US
article.volume20en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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