| 摘要: |
| 针对智慧农业和植物表型的研究中缺乏油麦菜生长模型和可视化管理方法的问题，将四阶多项式模型(Ploy4)、双尺度自动机技术和GreenScilab仿真工具三者相结合，对油麦菜结构功能特性进行分析。结果表明:1)油麦菜逐叶片呈“Y”型间隔角度上旋递进生长；2)使用不同生长模型对油麦菜叶长和叶宽数据进行拟合，四阶多项式模型(Ploy4)拟合效果较好，各叶片决定系数≥0.99；3)利用双尺度自动机技术和GreenScilab仿真工具，对油麦菜结构功能特性可视化，结果具有感官相似性。将上述方法相结合针对作物不同特性进行分析，可以为设施环境中油麦菜生长的可视化管理提供有效的手段。 |
| 关键词: 油麦菜 结构功能模型 双尺度自动机 GreenScilab仿真工具 采收期预估 |
| DOI：10.11841/j.issn.1007-4333.2022.07.11 |
| 分类号: |
| 基金项目:中央高校基本科研业务费专项资金(2021TC111) |
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| Growth analysis of lettuce based on structural and functional characteristics |
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LI Guixin,WANG Minjuan,HU Mianlin,ZHENG Lihua
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Key Laboratory of Modern Precision Agriculture System Integration of Ministry of Education, China Agricultural University, Beijing 100083, China
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| Abstract: |
| In view of the problems of lacking growth model and visualization of growth characteristics in the research on intelligent agriculture and plant phenotype, this study uses the fourth-order polynomial model(Ploy4), two-scale automata technology and GreenScilab simulation tool to analyze the structural and functional characteristics of lettuce. The results showed that: 1)The leaves of lettuce grew in a Y-shaped upward rotation and progressed at an interval angle; 2)Among the three growth models used to fit the data of leaf length and leaf width of lettuce, the fitting effect of Ploy4 was better, and the determination coefficient of each leaf was more than 0. 99; 3)The structural and functional characteristics of lettuce were visualized by using two-scale automata technology and GreenScilab simulation tool, and the results displayed sensory similarity. In conclusion, the use of Ploy4 two-scale automata and GreenScilab simulation tool can provide an effective means for the visual management of lettuce and vegetable growth in plant factories. |
| Key words: lettuce structure function model two scale automata greenscilab simulation tool recovery time estimation |
