A Quantitative Knowledge-based Model for Designing Suitable Growth Dynamics in Rice

A Quantitative Knowledge-based Model for Designing Suitable Growth Dynamics in Rice

Quantifying growth dynamics in rice (Oryza sativa L.) is important for precision design and diagnosis in cultural management. The primary objective of this study was to develop a general knowledge-based model to design the time-course growth dynamics including stem number, leaf area index (LAI) and...

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Bibliographic Details
Main Authors: Dingchun Yan, Yan Zhu, Shaohua Wang, Weixing Cao
Format: Article
Language:English
Published: Taylor & Francis Group 2006-01-01
Series:Plant Production Science
Subjects:
Dry matter
Expert system
Knowledge-based model
LAI
Rice
Stem number
Online Access:http://dx.doi.org/10.1626/pps.9.93

Internet

http://dx.doi.org/10.1626/pps.9.93

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