Simulation Model Construction of Plant Height and Leaf Area Index Based on the Overground Weight of Greenhouse Tomato: Device Development and Application

Author:

Guo Shenbo12,Wu Letian134,Cao Xinwei134,Sun Xiaoli134,Cao Yanfei2,Li Yuhan2,Shi Huifeng134

Affiliation:

1. Institute of Agricultural Machinery, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China

2. College of Horticulture, Northwest A & F University, Xianyang 712100, China

3. Research Center for Agricultural Engineering Facilities and Equipment Engineering Technology, Urumqi 830091, China

4. Agricultural Engineering Company, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China

Abstract

Plant height and leaf area index (LAI) are crucial growth indicators that reflect the growth status of tomatoes in greenhouses, enabling accurate determinations to effectively estimate crop transpiration and formulate irrigation strategies for reducing agricultural water waste. There is a need for the increased application of related models to simulate tomato growth indices in the traditional greenhouse production in China. This study proposes a nondestructive, real-time monitoring and simulation device for measuring tomato plant height and leaf area index. The weight of aboveground tomatoes was obtained by suspending tomato plants on dynamometers, while the total weight of stem and leaf organs was determined using a distribution coefficient simulation model. The R2 value between the measurements from the electronic scale and those from the aboveground fresh weight device for tomatoes was 0.937, with an RMSE value of 0.05 kg. The monitoring device did not affect the average tomato growth during operation. The device will not affect the growth of tomatoes during monitoring. A multiple linear regression was used to compare the measured and simulated values of the plant height and leaf area index of various types of greenhouse tomatoes cultivated in different greenhouse types. The average R2 value for simulating plant height was 0.817 with an RMSE of 10.81 cm. The average R2 value for the leaf area index was 0.854, with an RMSE of 0.55 m2·m−2. The simulated values for plant height and leaf area index closely matched the measured values, indicating that the model has high accuracy and applicability in traditional Chinese greenhouses (solar greenhouses and insulated plastic greenhouses). However, further optimization is required for commercially produced, continuous plastic greenhouses equipped with greenhouse environmental control equipment.

Funder

Xinjiang Uygur Autonomous Region Major Sciences and Technology Special Project

Xinjiang Uygur Autonomous Region Public Welfare Scientific Research Institutes Project

Key Laboratory: Xinjiang Key Laboratory of Intelligent Agricultural Facility Management and Control Technology

Publisher

MDPI AG

Reference42 articles.

1. (2023, November 01). National Greenhouse Data Device. Available online: http://data.sheshiyuanyi.com/AreaData/.

2. Yang, S.Y., Liu, X., Liu, S.Y., Chen, X.Y., and Cao, Y.F. (2022). Real Time Temperature Distribution Monitoring in Chinese Solar Greenhouse Using Virtual LAN. Agronomy, 12.

3. Development Status of China’s Facility Vegetable Industry and Outlook;Li;China Veg.,2023

4. Identification of optimal irrigation and fertilizer rates to balance yield, water and fertilizer productivity, and fruit quality in greenhouse tomatoes using TOPSIS;Yu;Sci. Hortic.,2023

5. Nitrate-dependent Uranium mobilisation in groundwater;Bonotto;Sci. Total Environ.,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3