|Table of Contents|

Construction of Lettuce Growth Model Based on Growing Degree Days

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2024年6
Page:
9-16
Research Field:
Publishing date:

Info

Title:
Construction of Lettuce Growth Model Based on Growing Degree Days
Author(s):
DUAN Guangjun1; ZHAO Jiasong1; LIU Zhenyang2; YAN Weiyu1; MA Dianjing1; WANG Lijia1
(1.Big Data College，Yunnan Agricultural University，Kunming，Yunnan 650201；2.College of Data Science and Engineering，Kunming City College，Kunming，Yunnan 650032)
Keywords:
growth model; Logistic regression; ridge regression; support vector regression
PACS:
S 636.2
DOI:
10.11937/bfyy.20233874
Abstract:
Taking lettuce as the test material,using three algorithms,Logistic regression，ridge regression and support vector regression,the fitting effect and prediction ability of different algorithms on the lettuce growth model were studied,in order to provide reference for effective planning，growth prediction and yield-increasing measures for subsequent lettuce production.The results showed that the average R2 of the measured values and predicted values of the lettuce growth model of Logistic regression，ridge regression and support vector regression based on the 1∶1 straight line were 0.818，0.897 and 0.957 respectively，and the average RMSE were 27.631，19.505 and 6.901,respectively.Therefore support vector regression performed the best in simulating lettuce growth，followed by ridge regression，and Logistic regression was the worst.

References:

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Last Update: 2024-04-11