title: [A dynamic knowledge model for designing suitable scheme of rapeseed sowing and transplanting].
abstract: Based on the sum-up and abstraction of the relationships of rapeseed growth characters with ecological environment, cultivar type, production condition and yield target, a dynamic knowledge model was developed by using knowledge engineering and system modeling method, which could be used for designing a suitable sowing and transplanting scheme of different rapeseed varieties under different spatial and temporal environments. Case studies on the knowledge model with the data sets of three different sites, nine different variety types, and two different sowing styles indicated a good performance of the model system in decision-making, explanation, and wide applicability.
authors: Hi-Tech Key Laboratory of Information Agriculture of Jiangsu Province & Key Laboratory of Crop Growth Regulation of Agriculture Ministry, Nanjing Agricultural University, Nanjing 210095, China. yanzhu@njau.edu.cn
authors: Yan
authors: Y
authors: Zhu
authors: Wei-xing
authors: WX
authors: Cao
authors: Yong-chao
authors: YC
authors: Tian
authors: Xia
authors: X
authors: Yao
mesh_terms: D000383:Agriculture / Q000379:methods*; D029688:Brassica napus / Q000254:growth & development*; D008433:Mathematics; D008962:Models, Theoretical; D036226:Seedlings / Q000254:growth & development*