2023-08-07
【學術亮點】CART 模型通過 VPD、氣溫和葉-氣溫差對不同番茄基因型的干旱狀況進行分類
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Intelligent Detection: Development of expert diagnosis system for crop cultivation and management【Department 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】
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：CART model to classify the drought status of diverse tomato genotypes by VPD, air temperature, and leaf–air temperature difference 中文：CART 模型通過 VPD、氣溫和葉-氣溫差對不同番茄基因型的干旱狀況進行分類 |
| 期刊名稱 | Scientific Reports |
| 發表年份, 卷數, 起迄頁數 | 2023, 13(1), 1-12 |
| 作者 | Fang, Shih-Lun; Tu, Yuan-Kai; Kang, Le; Chen, Han-Wei; Chang, Ting-Jung; Yao, Min-Hwi; Kuo, Bo-Jein(郭寶錚)* |
| DOI | 10.1038/s41598-023-27798-8 |
| 中文摘要 | 本研究建立CART模型，對三種番茄基因型的乾旱狀態進行分類。結果表明，所提出的CART模型可以準確對番茄的乾旱狀況進行分類，這將為番茄栽培的常規水分管理提供有效的工具。 |
| 英文摘要 | Regular water management is crucial for the cultivation of tomato (Solanum lycopersicum L.). Inadequate irrigation leads to water stress and a reduction in tomato yield and quality. Therefore, it is important to develop an efficient classification method of the drought status of tomato for the timely application of irrigation. In this study, a simple classification and regression tree (CART) model that includes air temperature, vapor pressure deficit, and leaf–air temperature difference was established to classify the drought status of three tomato genotypes (i.e., cherry type ‘Tainan ASVEG No. 19’, large fruits breeding line ‘108290’, and wild accession ‘LA2093’). The results indicate that the proposed CART model exhibited a higher predictive sensitivity, specificity, geometric mean, and accuracy performance compared to the logistic model. In addition, the CART model was applicable not only to three tomato genotypes but across vegetative and reproductive stages. Furthermore, while the drought status was divided into low, medium, and high, the CART model provided a higher predictive performance than that of the logistic model. The results suggest that the drought status of tomato can be accurately classified by the proposed CART model. These results will provide a useful tool of the regular water management for tomato cultivation. |
| 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，建立一套應用於農業設施中的節水化作物生產系統，減少資源的浪費 |
