ZHAO Yawei,YU Yang,YIN Feihe,et al.Study on Greenhouse Environment and Growth Situation Model of Leaf Vegetables[J].Northern Horticulture,2020,44(17):137-144.[doi:10.11937/bfyy.20194858]
温室环境与叶类蔬菜生长态势模型研究
- Title:
- Study on Greenhouse Environment and Growth Situation Model of Leaf Vegetables
- 文献标志码:
- A
- 摘要:
- 温室种植环境模型的研究对温室植物种植提供理论支持。利用自动化检测技术设计了智能植物种植箱，种植箱集成了温湿度传感器、二氧化碳传感器、光照传感器、LED补光灯、土壤培养盒、数据采集电路等设备。在种植箱内部开展了多组不同环境条件下的蔬菜种植试验，实时记录温湿度和光照强度等环境数据，利用描形称质量法采集蔬菜叶面积，利用BP神经网络构建了植物生长的环境数据与植物长势特征叶面积的模型。最后，利用种植试验获得的数据对神经网络进行训练试验。结果表明：利用试验数据通过BP神经网络构建的温室种植模型，可根据温室环境条件预测蔬菜生长，该研究可为温室植物的种植提供参考依据。
- Abstract:
- The research of greenhouse planting environment model provided theoretical support for greenhouse planting.An intelligent plant growing box was designed by using automatic detection technology.The planting box was integrated with temperature and humidity sensors,carbon dioxide sensors,light sensors,LED supplementary light lamps,soil culture boxes,data acquisition circuits and other equipment.Several groups of vegetable planting experiments under different environmental conditions were carried out inside the planting box.Environmental data such as temperature,humidity and light intensity were recorded in real time.Leaf area of vegetables was collected by tracing weighing method.BP neural network was used to build a model of plant growth environment data and plant growth characteristic leaf area.Finally,the neural network was trained by using the data obtained from planting experiments.The experimental results showed that the greenhouse planting model was constructed by BP neural network with experimental data,and the model could predict vegetable growth according to greenhouse environmental conditions.This study could provide reference for greenhouse plant cultivation.
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备注/Memo
第一作者简介：赵亚威（1976-），女，辽宁新民人，硕士，讲师，现主要从事电子测量控制系统等研究工作。E-mail:781787793@qq.com.责任作者：于洋(1963-)，男，吉林白山人，硕士，教授，现主要从事智能检测与控制技术等研究工作。E-mail:yusongh@126.com.基金项目：辽宁省自然科学基金指导性资助项目(2019-ZD-0250)。收稿日期：2019-12-24