Irrigation of Greenhouse Crops
Орошение тепличных культур
2019-01-15
SCID: 54.1/nyggrvzk
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automatic irrigation controlgreenhouse crop irrigationirrigation schedulingplant-based monitoringsoilless production systems
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Abstract (AI)
Precision agricultural greenhouse systems indicate considerable scope for improvement of irrigation management practices, since growers typically irrigate crops based on their personal experience. Soil-based greenhouse crop irrigation management requires estimation on a daily basis, whereas soilless systems must be estimated on an hourly or even shorter interval schedule. Historically, irrigation scheduling methods have been based on soil or substrate monitoring, dependent on climate or time with each having both strengths and weaknesses. Recently, plant-based monitoring or plant reflectance-derived indices have been developed, yet their potential is limited for estimating the irrigation rate in order to apply proper irrigation scheduling. Optimization of irrigation practices imposes different irrigation approaches, based on prevailing greenhouse environments, considering plant-water-soil relationships. This article presents a comprehensive review of the literature, which deals with irrigation scheduling approaches applied for soil and soilless greenhouse production systems. Irrigation decisions are categorized according to whether or not an automatic irrigation control has the ability to support a feedback irrigation decision system. The need for further development of neural networks systems is required.
Key Findings
1
Effective irrigation optimization requires approaches adapted to greenhouse conditions and plant–water–soil relationships, including feedback-capable automatic control systems.
2
Existing scheduling approaches rely on soil or substrate monitoring, climate conditions, or time, with each method offering distinct strengths and weaknesses.
3
Further development of neural-network systems is identified as necessary for improved greenhouse irrigation management.
4
Greenhouse irrigation management has substantial improvement potential because growers commonly schedule irrigation based on personal experience.
5
Plant-based monitoring and reflectance-derived indices have emerged, but their potential for accurately estimating irrigation rates remains limited.
6
Soil-based greenhouse irrigation requires daily estimation, whereas soilless systems require hourly or more frequent irrigation scheduling.
Research Object
soil-based and soilless greenhouse crop production systems
Research Subject
irrigation scheduling and control approaches, including feedback-based automation, under varying greenhouse environmental and plant–water–soil conditions
Publication Details
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2019-01-15
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