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Organic Ginseng Bionic Cultivation Intelligent Monitoring Platform Based On Internet Of Things Technology

Posted on:2020-10-05Degree:MasterType:Thesis
Country:ChinaCandidate:J B HanFull Text:PDF
GTID:2393330599462854Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
In recent years,in order to protect the ecological environment,prevent soil erosion,develop and protect plantations,Ginseng planting has changed from cutting trees to using field.However,China's ginseng cultivation is independent of their respective farmers,and the management of ginseng fields is not standardized,the implementation of relevant standards is not in place,the experience of ginseng ginseng is seriously insufficient,the blind cultivation of farmers exposes many problems,which leads to partial ginseng yield and nutrient composition is low.In addition,ginseng has the characteristics of like cold and humid environment,strong cold resistance and long growth cycle.The ginseng in different growth environments also has different ginseng shape and composition content,so the soil moisture content of ginseng planting area,Environmental factors such as soil temperature,ambient temperature,and environmental humidity also have a great impact on the growth and development of ginseng.Therefore,how to grow ginseng scientifically becomes a major problem that needs to be solved in this field.In this paper,an intelligent monitoring platform for organic ginseng bionic cultivation based on Internet of Things technology is designed based on biomimetic cultivation technology.Based on the Bayesian network and the modified Penman-Montis formula,this paper studies a decisionmaking method based on the Internet of Things for ginseng irrigation.The method is implemented by the platform's irrigation decision model,and the model obtains the first-level judgment result through the Bayesian network.The required real-time data is obtained by the ginseng planting area data acquisition system of the platform,and then determines whether a secondary decision is needed according to the first-level judgment result;In order to improve irrigation accuracy in the secondary determination,the Penman-Montes formula was modified according to the actual environment of the ginseng planting area.Through this method,the reliability of the decision results and the irrigation precision are effectively improved,and the scientific cultivation of ginseng is realized,and the ginseng yield and nutrient composition are improved.At the end of the paper,the platform was tested.In the accuracy test of the environmental data acquisition system of the platform,the maximum relative error of the sSoil temperature,humidity,light intensity,soil moisture and rainfall of the collection system was 0.3,0.5,3,0.3,0.2,compared with the existing environmental monitoring devices on the market,can provide a more accurate data source for the establishment of decision models;In the model decision performance test of the platform,intelligent irrigation decision-making can be realized.Under the condition of water shortage,the water demand can be accurately calculated,and the precise control of soil moisture and soil moisture content can be realized,which avoids the problem that the traditional decision-making mode is inaccurate in calculating the water demand.,of great significance;the ginseng that was irrigated by the platform decision was increased by 6% in saponin content compared to the ginseng irrigated by the conventional method.
Keywords/Search Tags:Irrigation Decision, Biomimetic Cultivation, Agricultural IoT, Bayesian Network, Penman-Monteith Formula, Ginseng Planting
PDF Full Text Request
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