2023-08-07

【學術亮點】使用S形生長模型模擬溫室番茄的生長發育

字體大小
Intelligent Detection: Development of expert diagnosis system for crop cultivation and managementDepartment of Agronomy / Bo-Jein Kuo / Professor
智慧檢測:作物栽培管理專家診斷系統開發【農藝系郭寶錚教授】
 
論文篇名 英文:Using Sigmoid Growth Models to Simulate Greenhouse Tomato Growth and Development
中文:使用S形生長模型模擬溫室番茄的生長發育
期刊名稱 Horticulturae
發表年份, 卷數, 起迄頁數 2022, 8(11), 1021
作者 Fang, Shih-Lun; Kuo, Yu-Hsien; Kang, Le; Chen, Chu-Chung; Hsieh, Chih-Yu; Yao, Min-Hwi; Kuo, Bo-Jein(郭寶錚)*
DOI 10.3390/horticulturae8111021
中文摘要 本研究建立經驗生長模型預測溫室番茄的生長。根據提出的生長模型推斷出五個具有生物學意義的臨界點,這個結果可用於預測番茄生長和調整田間作業時間表,以提高番茄溫室生產的效率。
英文摘要 Mathematical modeling has been used to describe the characteristics of crop growth. Establishing a growth model can help to better understand the responses of crops to their environment and improve the efficiency of agricultural production. This study establishes empirical growth models to predict the growth of greenhouse tomato. In this study, we collected beef tomato (Solanum lycopersicum cv. 993) growth data over two crop seasons in Taiwan and established growth models by employing the commonly used Gompertz and Logistic curves. Days after transplanting (DAT) and growing degree-days (GDD) were introduced as independent variables and their relationships with five traits, i.e., plant height, leaf area index, stem dry matter, leaves dry matter, and fruits dry matter were determined. The performances of GDD models were slightly better than those of the DAT models. In addition, we inferred five critical points with biological meaning based on the proposed growth models. The critical points estimated by the Logistic model are closer to our expectation than those of the Gompertz model, and they were applicable for the 993 tomato in Taiwan. These results can be used to predict tomato growth and adjust the fieldwork schedule to improve the efficiency of the greenhouse production of tomatoes.
發表成果與AI計畫研究主題相關性 應用於溫室作物生產之過程,建立一套針對作物與生長環境之作物生產系統
聯絡我們