An irrigation test method and test platform for precision agriculture

Abstract

The invention discloses an irrigation test method oriented to fine agriculture and a test platform thereof. The test platform includes a platform main body, a data acquisition module, a wireless communication module, a main control module and a monitoring center. The steps of the test method include: Crops in different growth stages are placed on the test platform, irrigated with different irrigation modes, and a multi-level and multi-objective fuzzy evaluation model of growth stages, irrigation modes, leaf stretch index and environmental factors is established to scientifically guide crop irrigation. The present invention comprehensively considers the soil moisture content, the environment and the most sensitive part of the crops that affect the growth of crops, and uses the Internet of Things technology to provide an irrigation test method and its test platform for precision agriculture, which is realized through an operable real-time online monitoring method. The mesoscopic investigation of the stretching degree of crop leaves, the study of the influence mechanism between the stretching degree of crop leaves and soil moisture content, air temperature and humidity, and irrigation amount, further reveals the growth status of crops.

Description

technical field [0001] The invention relates to the technical field of crop greenhouse cultivation and breeding, in particular to a precision agriculture-oriented irrigation test method and a test platform thereof. Background technique [0002] At present, the indicators of water demand for crop growth in precision agriculture can be roughly divided into three types. One is the soil as the object, and the soil water potential or soil moisture content is often used to judge the water demand of crops. The advantage is that it is relatively stable and less affected by the environment. But it is an indirect indicator of crop growth after all, and the reflection is relatively slow, lag and low in precision. The second category takes the environment as the object, and mainly uses the weather forecast to estimate the water demand of crops. However, crop water requirements are not only affected by the environment, but also by other and the crops themselves. At the same time, thi...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art, and provide a precision agriculture-oriented irrigation test method and its test platform, in order to address complex situations such as large crop growth area, long growth cycle, many sensor nodes, and crop types. Traditional crop collection methods have lags in time and space, as well as technical problems that cannot analyze crop growth status

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