Study On Cucumber Growth Model In Sunlight Greenhouse In Ningxia

Greenhouse vegetable planting plays a very important role in improving vegetable yield.As one of the main vegetable varieties cultivated in Ningxia,the increase of cucumber yield can effectively promote the adjustment of agricultural industrial structure in Ningxia,and promote the stable increase of farmers’ income.The existing agricultural information technology mainly uses sensors to collect the physical environment information,and forms the control strategy according to the physical environment.The lack of dynamic acquisition of crop growth information affects the accuracy of the control strategy.Crop model can reflect the interaction between crop growth and environment.It is an important research basis for optimizing greenhouse environment control and predicting crop growth dynamics and yield.In this paper,the growth model of Cucumber in greenhouse was studied.The main contents of the study include the following three points:1.Aiming at the problem of insufficient consideration of soil moisture in cucumber growth simulation model in solar greenhouse,based on the water balance model in CERES series,the water factor was introduced into the population photosynthesis of cucumber growth model,and the population photosynthesis model was improved.The cucumber growth model based on water factor was established,including growth period model,leaf area index model,leaf area index model,leaf area index model,leaf area index model,leaf area index model,leaf area index model,leaf area index model,leaf area index model,leaf area index model,leaf area index model,leaf area index Dry weight production model and water balance model of cucumber.2.In order to verify the accuracy of CUGMWF model and its applicability in Ningxia,this paper simulates CUGMWF model based on Ptolemy Ⅱ hierarchical heterogeneous modeling and simulation technology.Firstly,based on the role-oriented design method,the overall design of the model is carried out,and then each sub model is simulated based on the logical hierarchical structure,and the CUGMWF system is established.3.In this paper,the model validation test was carried out in Ningxia horticultural Industrial Park-type Ⅳ solar greenhouse in Helan County,Ningxia.Cucumber(Huangru No.4)was selected as the test material,and the field test of spring and autumn crops was carried out in 2020,and the growth data of cucumber was obtained.The parameters of the model were corrected by spring crop test data,and the model was verified by autumn crop test data.Among them,the absolute error between the simulated value and the measured value is 8 days;The average relative error and root mean square error were 23.30% and 0.568 m~2/m~2,respectively;The average relative error between simulated and measured soil moisture content was 3.32%～8.01%,and the root mean square error was 0.012～0.028cm~3/cm~3;The average relative error of leaf and stem dry weight was 14.90%～35.67%,and the root mean square error was 23.61～42.76g/m~2.The high accuracy of the model indicates that the model has good applicability in Ningxia,and can effectively simulate the growth process of Cucumber in Solar Greenhouse in Ningxia.