PRECISION IRRIGATION SCHEDULING FOR GREENHOUSE TOMATO BASED ON ANALYSIS OF ENVIRONMENTAL CHARACTERS AND THE PENMAN-MONTEITH MODEL

被引:0
|
作者
Zhong Fenglin [1 ]
Sheng Qiang [2 ]
Wang Shubin [1 ]
Lin Biying [1 ]
Zhou Xiangzhu [1 ]
Xu Ru [1 ]
Chen Iouzen [3 ]
Lin Yizhang [1 ]
机构
[1] Fujian Agr & Forestry Univ, Coll Hort, Fuzhou 350002, Fujian, Peoples R China
[2] Huaian Hydraul Survey & Design Res Inst Co Ltd, Huaian 223001, Jiangsu, Peoples R China
[3] Natl Taiwan Univ, Dept Hort, 1,Sec 4,Roosevelt Rd, Taipei 106, Taiwan
来源
FRESENIUS ENVIRONMENTAL BULLETIN | 2017年 / 26卷 / 11期
关键词
environment; precision irrigation; greenhouse; crop; RESISTANCE MODEL; EVAPOTRANSPIRATION; FORMULA;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Precision irrigation offers excellent prospects in terms of saving water, reducing pollution and improving crop yield for greenhouse agriculture. However, the precision irrigation scheduling depends greatly on the environmental factors such as temperature, air pressure, wind velocity, etc. In this study, the environmental indicators in four greenhouses of Changle, Fuzhou (Jinan), Lianjiang, Fuqing in Fujian province of China were monitored, and the Penman-Monteith model was used to precisely calculate the irrigation amounts in these four typical areas. Results showed that the Penman-Monteith model could well satisfy the requirement regarding the irrigation amount calculation for the tomato under greenhouse conditions. According to the calculation result, the total irrigation amounts of Changle, Fuzhou, Lianjiang and Fuqing were 403.5, 376.7, 379.2 and 393.1 mm, respectively, and the averagely daily irrigation amounts were 1.79, 1.67, 1.69 and 1.75 mm, respectively. Similar calculation results for the four areas possibly due to that their locations were in the same province, which shared the semblable climates. Our study highlighted the importance of environmental factors when developing irrigation scheduling for greenhouse crops. This study could provide beneficial information for the precise irrigation of the greenhouse cultivation, and provide an important foundation for further development of precision agricultural decision system.
引用
收藏
页码:6938 / 6944
页数:7
相关论文
共 50 条
  • [41] Optimization of the Regulated Deficit Irrigation Strategy for Greenhouse Tomato Based on the Fuzzy Borda Model
    Li, Xufeng
    Ma, Juanjuan
    Zheng, Lijian
    Chen, Jinping
    Sun, Xihuan
    Guo, Xianghong
    [J]. AGRICULTURE-BASEL, 2022, 12 (03):
  • [42] An ICT-based decision support system for precision irrigation management in outdoor orange and greenhouse tomato crops
    Cayuela, Carmen M. Flores
    Perea, Rafael Gonzalez
    Poyato, Emilio Camacho
    Montesinos, Pilar
    [J]. AGRICULTURAL WATER MANAGEMENT, 2022, 269
  • [43] Analysis of the effect of seasonal changes on sensitive parameters of LAI-based Penman–Monteith evapotranspiration model based on particle swarm algorithm
    Hao Duan
    Xin He
    Hongli Zhao
    Xiaohui Jin
    Haowei Xu
    Rong Wang
    [J]. Acta Geophysica, 2023, 71 : 1033 - 1043
  • [44] Plant-Response-Based Control Strategy for Irrigation and Environmental Controls for Greenhouse Tomato Seedling Cultivation
    Fang, Shih-Lun
    Chang, Ting-Jung
    Tu, Yuan-Kai
    Chen, Han-Wei
    Yao, Min-Hwi
    Kuo, Bo-Jein
    [J]. AGRICULTURE-BASEL, 2022, 12 (05):
  • [45] Exploration of Water-Saving and High-Yield Irrigation Model for Tomato under Microsprinkler Irrigation with Plastic Film in a Greenhouse Based on Spatial Analysis
    Zhang, Mingzhi
    Wang, Lu
    Wang, Hui
    Xiao, Na
    Liu, Jianfei
    [J]. JOURNAL OF SENSORS, 2022, 2022
  • [46] Development of a transpiration model for precise tomato (Solanum lycopersicum L.) irrigation control under various environmental conditions in greenhouse
    Jo, Won Jun
    Shin, Jong Hwa
    [J]. PLANT PHYSIOLOGY AND BIOCHEMISTRY, 2021, 162 : 388 - 394
  • [47] Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato
    Linker, Raphael
    Ioslovich, Ilya
    Sylaios, Georgios
    Plauborg, Finn
    Battilani, Adriano
    [J]. AGRICULTURAL WATER MANAGEMENT, 2016, 163 : 236 - 243
  • [48] Greenhouse tomato dry matter production and distribution model under condition of irrigation based on product of thermal effectiveness and photosynthesis active radiation
    Shi, Xiaohu
    Cai, Huanjie
    Zhao, Lili
    Yang, Pei
    Wang, Zishen
    [J]. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2016, 32 (03): : 69 - 77
  • [49] A NEW DECISION SUPPORT MODEL BASED ON IMPACT FACTOR ANALYSIS FOR OPTIMIZED SCHEDULING OF TOMATO HARVESTING
    Wang, Dan
    Zhang, Hong
    Yang, Guocai
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2013, 19 (03): : 335 - 345
  • [50] Optimization of irrigation-drainage scheme for tomato crop based on multi-index analysis and projection pursuit model
    Hou, Maomao
    Shao, Xiaohou
    [J]. ZEMDIRBYSTE-AGRICULTURE, 2016, 103 (02) : 221 - 228