[Research progress on chemical constituents and pharmacological effects of Ajania plants].

Ajania belonging to the subtribe Artemisiinae of Anthemideae(Asteraceae) is a genus of semi-shrubs closely related to Chrysanthemum. There are 24 species of Ajania in northwestern China, most of which are folk herbal medicines with strong stress tolerance. Modern medical studies have demonstrated that the chemical constituents of Ajania mainly include terpenoids, flavonoids, phenylpropanoids, alkynes, and essential oils. These compounds endow the plants with antimicrobial, anti-inflammatory, antitumor, antimalarial, antioxidant, and insecticide effects. In this study, we reviewed the research progress in the chemical constituents and pharmacological activities of Ajania, aiming to provide reference for the further research and development of Ajania.

[Suitable planting area of Poria cocos in Jinzhai county of Dabie Mountains region].

Dabie Mountain in Anhui province is a genuine producing area of Poria cocos, commonly known as Anling. Jinzhai county in Anhui province is a traditional producing area of P. cocos, and it is also a key county for poverty alleviation in Dabie Mountains. Poverty alleviation of traditional Chinese medicine producing area is an important measure to implement the major strategic deployment of the central government. The planting of P. cocos is helpful to promote the development of traditional Chinese medicine industry in Dabie Mountains and help poverty alleviation. P. cocos is a saprophytic fungus with special demands on soil and ecological environment, and its planting appears a scattered and irregular distribution. Traditional investigation methods are time-consuming and laborious, and the results are greatly influenced by subjective factors. In order to obtain the suitable planting area of P. cocos in Jinzhai county, according to the field survey, the research team has explored the regional, biological characteristics and cultivation methods of P. cocos in the county, and obtained the altitude distribution area suitable for the growth of P. cocos. Then, the MaxEnt niche model was used to analyze the relationship between ecological factors and distribution areas, and the potential distribution zoning of P. cocos in Jinzhai county was studied. Combined with the characteristics of P. cocos planting pattern, taking ZY-3 remote sensing image as the data source, the maximum likelihood method was used to extract the area that could be used for P. cocos cultivation in Jinzhai county, and the reason why artificial planting P. cocos was mainly distributed in the west of Jinzhai county was analyzed. The suitable regional classification of P. cocos in Jinzhai county was obtained by superposition of suitable altitude distribution area, MaxEnt analysis and area extracted from remote sensing image, which provided data support for the planting planning of P. cocos in Jinzhai county.

[Comparative study on distribution of Callicarpa nudiflora by different regionalization methods].

This article is based on basic data such as field surveys and literature surveys, contrasting and analyzing the distribution of Callicarpa nudiflora by different zoning methods, different data sources, and different spatial scales. The results showed that there were certain differences in the distribution results obtained by using different methods, such as qualitative description, similar ecological environment, and niche model, to divide the distribution of the C. nudiflora, but all of them could reflect the distribution of C. nudiflora to different degrees. Among them, the qualitative description division method has certain advantages in macro guidance in a large scale. The distribution range obtained by the ecological environment similar division method is wider than that obtained by applying the qualitative description method and the niche model method. The results of the zoning of the distribution of the C. nudiflora obtained from different data sources were different. The number and representativeness of the survey data have an impact on the zoning results. Through the analysis of the distribution of different spatial scales, the ecological factors and contribution rates that affect the distribution of C. nudiflora are different in China and in the world. The comprehensive multi-source data analysis showed that C. nudiflora mainly distributed in southern coastal provinces such as Hainan, Guangdong, Guangxi and Fujian in China, and also in Jiangxi, Guizhou, Yunnan, Sichuan, Chongqing, Hunan, Gansu, Taiwan and other provinces. Globally, C. nudiflora are suitable for distribution in Southeast Asia, such as China, Vietnam, Laos, Myanmar, India, etc. There are also potential distribution areas in the southern United States and Mexico.

[Research on remote sensing recognition of wild planted Lonicera japonica based on deep convolutional neural network].

Identification of Chinese medicinal materials is a fundamental part and an important premise of the modern Chinese medicinal materials industry. As for the traditional Chinese medicinal materials that imitate wild cultivation, due to their scattered, irregular, and fine-grained planting characteristics, the fine classification using traditional classification methods is not accurate. Therefore, a deep convolution neural network model is used for imitating wild planting. Identification of Chinese herbal medicines. This study takes Lonicera japonica remote sensing recognition as an example, and proposes a method for fine classification of L. japonica based on a deep convolutional neural network model. The GoogLeNet network model is used to learn a large number of training samples to extract L. japonica characteristics from drone remote sensing images. Parameters, further optimize the network structure, and obtain a L. japonica recognition model. The research results show that the deep convolutional neural network based on GoogLeNet can effectively extract the L. japonica information that is relatively fragmented in the image, and realize the fine classification of L. japonica. After training and optimization, the overall classification accuracy of L. japonica can reach 97.5%, and total area accuracy is 94.6%, which can provide a reference for the application of deep convolutional neural network method in remote sensing classification of Chinese medicinal materials.

[Distribution characteristics of Chinese medicine resources in Turpan Basin, Xinjiang].

Based on the results of the fourth national survey of traditional Chinese medicine resources in Turpan city, Xinjiang, this study counted the types of traditional Chinese medicine resources in Turpan Basin. The spatial distribution differences of traditional Chinese medicine resources in Turpan Basin of Xinjiang were analyzed by using grid technology, trend surface analysis, global spatial autocorrelation analysis, and local spatial autocorrelation analysis, so as to clarify the overall change trend and aggregation degree of traditional Chinese medicine resources in Turpan Basin in horizontal and vertical directions. The results showed the following: in the horizontal direction, the species richness of traditional Chinese medicine resources in the central part of Turpan Basin was high, and there were great differences in the species richness of traditional Chinese medicine resources in Turpan Basin under different grid sizes. The spatial scale effect of the richness of traditional Chinese medicine resources in Turpan Basin is obvious. Among them, under the 30 km×30 km scale, the richness of the types of Chinese medicine resources shows a high spatial correlation, and the richness of the types of Chinese medicine resources at 5 km×5 km scale presents a near random distribution state, and the richness of the types of Chinese medicine resources at 80, 90, and 100 km scale sits negatively related. Vertical direction, Chinese medicine resources appear rich at the range of-154-150 m and 900-1 050 m following by range of 1 050-1 200 m.

[Application of UAV remote sensing in monitoring of Callicarpa nudiflora].

In order to solve the problem of manual area measurement,the traditional methods of medicinal planting area statistics are difficult to meet the needs of rapid area survey application. This paper uses the UAV remote sensing method with the advantages of unmanned,automatic,high efficiency,high score and short production cycle to monitor the shape of Callicarpa nudiflora. A solution for aerial photography,image data acquisition and data processing of drones were designed for characteristics and planting conditions. After data processing and statistical analysis,detailed information on the location and area of the C. nudiflora in the target area was obtained. Then the accuracy comparison analysis was carried out with the measured results of the C. nudiflora. The results show that the UAV is feasible for the monitoring of C. nudiflora,and has a good application prospect in the monitoring of Chinese herbal medicine planting.

[Regional cultitvation and dynamic change of garden Ginseng in Changbai county based on multi-source and multi-temporal satellite remote sensing data].

The dried roots of Panax ginseng are used as medicines. In this paper,multi-time satellite sensing image data are used for image registration by radiometric correction,atmospheric pressure correction,the data of different years were compared. The multiscale segmentation of the sensing image was successively carried out by using object-oriented method. Combining with the characteristics of the sensing image participated in the field survey,the objective was to understand the speckles of the environmental parameters distribution map of Changbai county in 2017 and 2018. The parameter area of Changbai county was calculated by using GIS spatial analysis tools. The union,erase and intersect tools of " analysis to OLS" overlay in " Arc Toolbox" were used to analyze the parametric area of Changbai county from 2017 to 2018. The results showed that the parameter area of Changbai county in 2017 was 27 400 mu( 1 mu≈667 m2),and the parameter area in 2018 was 13 900 mu. The parameter area of the new park in Changbai County in 2018 was 12 500 mu,and the harvested area in 2017 was 27 000 mu. Through the analysis and study of the regional change of the park participating in the training area,it has significance for guiding the park participating in the actual production planning and layout in Changbai county in the next step.

[Study of extracting natural resources of Chinese medicinal materials planted area in Luoning of Henan province based on UAV of low altitude remote sensing technology and remote sensing image of satellite].

The study is aimed to effectively obtain the planting area of traditional Chinese medicine resources. The herbs used as the material for traditional Chinese medicine are mostly planted in natural environment suitable mountainous areas. The UAV low altitude remote sensing data were used as the samples and the GF-2 remote sensing images were applied for the data source to extract the planting area of Salvia miltiorrhiza and Artemisia argyi in Luoning county combined with field investigation. Remote sensing satellite data of standard processing obtain specific remote sensing data coverage. The UAV data were pre-processed to visually interpret the species and distribution of traditional Chinese medicine resources in the sample quadrat. Support vector machine( SVM) was used to classify and estimate the area of traditional Chinese medicine resources in Luoning county,confusion matrix was used to determine the accuracy of spatial distribution of traditional Chinese medicine resources. The result showed that the application of UAV of low altitude remote sensing technology and remote sensing image of satellite in the extraction of S. miltiorrhiza and other varieties planting area was feasible,it also provides a scientific reference for poverty alleviation policies of the traditional Chinese medicine Industry in local areas.Meanwhile,research on remote sensing classification of Chinese medicinal materials based on multi-source and multi-phase high-resolution remote sensing images is actively carried out to explore more effective methods for information extraction of Chinese medicinal materials.

[Investigation and analysis of influence of geographical environment factors on spatial distribution of flavonoid of Epimedium koreanum].

The study is aimed to clarify the spatial distribution of Epimedium koreanum( Ek) high-quality production areas. Through visiting and field investigation,collecting the distribution information of Ek samples,and based on the four kinds of flavonoids in Ek,the high-quality production areas and distribution of Ek distribution of the main environmental factors were drawn using GIS technology,the maximum entropy model( MaxEnt),geographical detector statistical analysis method,and the statistical significance of regression equation were obtained. Considering the content of 4 main flavonoids in Ek,the results of this study showed that the main environmental factors,such as precipitation,annual precipitation variation coefficient,annual average temperature and clay content exhibited the greatest influence on the growth suitability of Ek. Ek materials quality concentrated distribution in southeastern Jilin province Changbai mountain hinterland and northeastern Liaoning province. Ek with high content of epimedine A and epimedine C are mainly distributed in the southeastern Jilin province and northeastern Liaoning province,Ek with high epimedine B is distributed in eastern Liaoning province; high icariin Ek was found in most area of northeastern Liaoning province,a small amount distributed in the southeast of Jilin province. This study predicted the climate suitability distribution of Ek,and provided reference for the rational planning and establishment of the standardized cultivation base of Ek.

[Exploring the clinical characters of Shugan Jieyu capsule through text mining].

In this paper,the potential climate factors affecting the Pairs polyphylla var. yunnanensis distribution in China at rational scales were selected from related literatures, using the sampling point geographic information from of P. polyphylla var. yunnanensis, combine the maximum entropy model (MaxEnt) with spatial analyst function of ArcGIS software, to study the climate suitability of P. polyphylla var. yunnanensis cultivating region in China and the leading climate factors. The results showed that, average rainfall in August, average rainfall in October, coefficient of variation of seasonal precipitation, the average temperature of the dry season, isothermal characteristic, average temperature in July were the leading climate factors affecting the potential distribution of P. polyphylla var. yunnanensis cultivating region in China, with their cumulative contribution rate reached 97.2% of all candidate climate factors. Existence probability of the region to be predicted of P. polyphylla var. yunnanensis through the constructed model, the climate unsuitable region, low, medium and high region of P. polyphylla var. yunnanensis in China were clarified and the threshold of climatic factors were gave and clarified the climate characteristics of the cultivating region in each climatic suitability division. The results of research can provide reference for production layout and introduction of P. polyphylla var. yunnanensis.

[Brief introduction to progress of national census of Chinese medicine resources (pilot)].

Since the beginning of 2011, with the strong support of the Ministry of Finance, the State Administration of Traditional Chinese Medicine has organized the pilot work on the census of traditional Chinese medicine resources (hereinafter referred to as the "pilot work"). At all levels of Chinese medicine management departments under the joint efforts of the pilot work has achieved initial results. For the fourth national comprehensive implementation of traditional Chinese medicine resources, the technical methods have been optimized, the working teams have been professionally trained, and the experiences are accumulated. All of these laid a solid foundation for the work. As of August 2017, through the "National Resources Survey Information Management System". The initial summary of the Chinese medicine resourcesdisplayed more than 200 million collected data, more than 500 million photos, and more than 20 million copies of dried specimens and other physical materials.Furthermore more than 40 species of new species were found by the participant workers participate in the relevant Chinese medicine resources survey. During the pilot work, a central platformhas initially formed, 28 provincial-level traditional Chinese medicine raw material quality monitoring technical service center, 66 county-level monitoring stations of Chinese medicine resources dynamic monitoring information and technical service system were established.The information monitoring services of 190 kinds of Chinese herbal medicine prices, circulation and planting area of six major categories of, Chinese herbal medicine quality, field management and other 10 categories of technical services were launched. In the 20 provinces (autonomous regions and municipalities), the construction of 28 Chinese herbal medicine seed breeding base were arranged, nearly 160 kinds of Chinese herbal medicine seed breeding production were carried out. And in Hainan and Sichuan province, two Chinese herbal medicine germplasm resources bases were established, preserve the germplasm resources collected in traditional Chinese medicine resources census work were preserved.

[Analysis of spatial distribution of artemisinin in Artemisia annua in China].

Geo-herbals are preferred by long-term clinical application of Chinese medicine, they are produced in a specific area and affected by the specific production and processing methods. Geo-herbals have a high reputation, compared with other regions produced by the same kind of herbs with good quality, efficacy and stable quality characteristics. Geo-herbal is a unique concept that has been formed by the history of Chinese civilization for thousands of years and the history of Chinese medicine. According to the definition of geo-herbal, it can be seen that there are some differences in the quality and efficacy of the same kind of medicinal herbs in different regions, and there is some similarity in the specific area. In this study, the spatial distribution characteristics of artemisinin in Artemisia annua were analyzed by spatial statistical analysis. ①The spatial autocorrelation of artemisinin content was analyzed by "I coefficient". The results showed that the content of artemisinin in each province was significant and positive spatial autocorrelation. The content of artemisinin in each province was not randomly distributed, but with a clear spatial aggregation characteristics. ②The spatial variability of artemisinin content was analyzed by "G statistic". The results showed that the area with high content of artemisinin was distributed in the southwest region, and the content of artemisinin was concentrated in the space, which tends to accumulate at high value. The content of artemisinin in Tianjin and Liaoning province is low, and it tends to accumulate at low value, while the content of artemisinin in other provinces is the transition zone of high and low value. ③Based on the index of artemisinin in each province, the spatial correlation of artemisinin content in each region was analyzed by "moran scatter plot". The results showed that the content of artemisinin in nine provinces such as Guangxi and Chongqing belonged to high value gathering area. ④Based on the artemisinin content and ecological environment factor of sampling point, the "geophysical detector" was used to analyze the continuous quantitative data and discontinuous qualitative data. The results showed that the sunshine, temperature and precipitation were the main factors affecting the content of artemisinin.

[Detection and analysis of effect of geographical environmental factors on spatial distribution of artemisinic acid in Artemisia annua].

Dao-di herbs are preferred by long-term clinical application of Chinese medicine, they are produced in a specific area and affected by the specific production and processing methods. Dao-di herbs have a high reputation, compared with other regions produced by the same kind of herbs with good quality, good efficacy and stable quality characteristics. Geo-herbal is a unique concept that has been formed by the history of Chinese civilization for thousands of years and the history of Chinese medicine. According to the definition of geo-herbal, it can be seen that there are some differences in the quality and efficacy of the same kind of medicinal herbs in different regions, and there is some similarity in the specific area. In this study, based on the content of artemisinic acid in sampling points and its potential environmental factors, the effects of geographical environment factors on the spatial distribution of artemisinic acid content in Artemisia annua were studied by using the geophysical model. The results show that the spatial distribution of artemisinic acid content is the result of a combination of multiple factors. The effects of environmental factors on the spatial distribution of artemisinic acid were in the order of soil type (0.233)> radiation (0.208)> vegetation type (0.192)> elevation (0.171)> sunshine (0.170)> annual mean temperature (0.153) >annual precipitation (0.111)> slope (0.110)> relative humidity. Among them, the soil type and the amount of radiation are the main influencing factors, and the main influencing area is in the soil type as the initial soil and the average annual radiation of 1 200-1 400 kWh•m⁻². The main influencing factors selected in this study can be used to monitor the spatial distribution of artemisinic acid by remote sensing technology, so as to provide the theoretical basis for the cultivation of A. annua.

[Design and implementation of information management system for Chinese materia medica resources survey].

By means of the established Information Management System for Chinese materia medica resources survey, the national, provincial and county level organization, personnel and the implementation of the program of Chinese materia medica resources survey, and the survey team of medicinal plant investigation, photos, Chinese herbal medicine market survey, the traditional Chinese materia medica resources knowledge survey, germplasm resources investigation and the data collation and summary specimen have been realised. Throughout the whole working process of the fourth national Chinese materia medica resources survey, it is ensured that all data were no missing, no repeat, and well stored and managed. The Information Management System can improve the standardization degree of Chinese materia medica resources survey, and maintain the continuity.

[Design and implementation of data reporting system for Chinese materia medica resources survey].

The collection, summary and sharing of all kinds of survey data are one of the main tasks and achievements in the national census of Chinese materia medica resources organized and implemented by the State Administration of Traditional Chinese Medicine. It is a key link in the implementation of the national census of Chinese materia medica resources. Based on the client / server architecture, the data reporting system for Chinese materia medica resources survey has been established for reporting system application model of geospatial data service based on Web implementation, through the SOA framework, to achieve the data collection summary of the seven aspects of the local data configuration, data reporting, data verification, data reporting, PDA data import and export, APP data import, track instrument data import. The system services include the general investigation, the focus of investigation, specimen information, herbs sample information, market research, germplasm survey, traditional knowledge survey of these seven aspects of the 312 indicators of the report, serving the Chinese materia medica resource survey of field survey data collection and internal data collation. The system provides the technical support for the national census of Chinese materia medica resources, improves the efficiency of the census of Chinese materia medica resources, and is conducive to the long-term preservation of the data of Chinese materia medica resources census, the transformation and sharing of the results.

[Design and implementation of mobile terminal data acquisition for Chinese materia medica resources survey].

In this paper, a data acquisition system based on mobile terminal combining GPS, offset correction, automatic speech recognition and database networking technology was designed implemented with the function of locating the latitude and elevation information fast, taking conveniently various types of Chinese herbal plant photos, photos, samples habitat photos and so on. The mobile system realizes automatic association with Chinese medicine source information, through the voice recognition function it records the information of plant characteristics and environmental characteristics, and record relevant plant specimen information. The data processing platform based on Chinese medicine resources survey data reporting client can effectively assists in indoor data processing, derives the mobile terminal data to computer terminal. The established data acquisition system provides strong technical support for the fourth national survey of the Chinese materia medica resources (CMMR).

[Design and implementation of data checking system for Chinese materia medica resources survey].

The Chinese material medica resources (CMMR) national survey information management system has collected a large amount of data. To help dealing with data recheck, reduce the work of inside, improve the recheck of survey data from provincial and county level, National Resource Center for Chinese Materia Medical has designed a data checking system for Chinese material medica resources survey based on J2EE technology, Java language, Oracle data base in accordance with the SOA framework. It includes single data check, check score, content manage, check the survey data census data with manual checking and automatic checking about census implementation plan, key research information, general survey information, cultivation of medicinal materials information, germplasm resources information the medicine information, market research information, traditional knowledge information, specimen information of this 9 aspects 20 class 175 indicators in two aspects of the quantity and quality. The established system assists in the completion of the data consistency and accuracy, pushes the county survey team timely to complete the data entry arrangement work, so as to improve the integrity, consistency and accuracy of the survey data, and ensure effective and available data, which lay a foundation for providing accurate data support for national survey of the Chinese material medica resources (CMMR) results summary, and displaying results and sharing.

[Design and implementation of Chinese materia medica resources survey results display system].

From the beginning of the fourth national census of traditional Chinese medicine resources in 2011, a large amount of data have been collected and compiled, including wild medicinal plant resource data, cultivation of medicinal plant information, traditional knowledge, and specimen information. The traditional paper-based recording method is inconvenient for query and application. The B/S architecture, JavaWeb framework and SOA are used to design and develop the fourth national census results display platform. Through the data integration and sorting, the users are to provide with integrated data services and data query display solutions. The platform realizes the fine data classification, and has the simple data retrieval and the university statistical analysis function. The platform uses Echarts components, Geo Server, Open Layers and other technologies to provide a variety of data display forms such as charts, maps and other visualization forms, intuitive reflects the number, distribution and type of Chinese material medica resources. It meets the data mapping requirements of different levels of users, and provides support for management decision-making.

[Application of image recognition technology in census of national traditional Chinese medicine resources].

With the development of computer and image processing technology, image recognition technology has been applied to the national medicine resources census work at all stages.Among them: ①In the preparatory work, in order to establish a unified library of traditional Chinese medicine resources, using text recognition technology based on paper materials, be the assistant in the digitalization of various categories related to Chinese medicine resources; to determine the representative area and plots of the survey from each census team, based on the satellite remote sensing image and vegetation map and other basic data, using remote sensing image classification and other technical methods to assist in determining the key investigation area. ②In the process of field investigation, to obtain the planting area of Chinese herbal medicine was accurately, we use the decision tree model, spectral feature and object-oriented method were used to assist the regional identification and area estimation of Chinese medicinal materials.③In the process of finishing in the industry, in order to be able to relatively accurately determine the type of Chinese medicine resources in the region, based on the individual photos of the plant, the specimens and the name of the use of image recognition techniques, to assist the statistical summary of the types of traditional Chinese medicine resources. ④In the application of the results of transformation, based on the pharmaceutical resources and individual samples of medicinal herbs, the development of Chinese medicine resources to identify APP and authentic herbs 3D display system, assisted the identification of Chinese medicine resources and herbs identification characteristics. The introduction of image recognition technology in the census of Chinese medicine resources, assisting census personnel to carry out related work, not only can reduce the workload of the artificial, improve work efficiency, but also improve the census results of information technology and sharing application ability. With the deepening of the work of Chinese medicine resources census, image recognition technology in the relevant work will also play its unique role.

[Study on spatial distribution characteristics of traditional Chinese medicine resource species richness based on national census of Chinese medicine resources (pilot)].

Based on the data collected by the census team in the national census information management system, the spatial autocorrelation analysis method was used to analyze the similarity of the richness of Chinese herbal medicine resources in the investigated counties. The results showed that the species richness in the investigated counties appeared a tendency to focus on the distribution of the characteristics. Among them, the areas with sparse resources are concentrated in most areas of the north of the Yangtze River, northwest and most areas of Tibet. The areas with abundant resources are concentrated in the areas south of the Yangtze River. The results showed that there were significant differences in the abundance of traditional Chinese medicine resources between regions. The results showed that there were significant differences in the abundance of traditional Chinese medicine resources between regions. Due to the large differences in the land area between the county and the richness of the types of traditional Chinese medicine resources, it is proposed to increase the land area of the traditional Chinese medicine resource census when allocating the fourth national census of Chinese medicine resources by the "factor method", and the richness of traditional Chinese medicine and other indicators, in order to give full play to the efficiency of transfer payment system. Based on the county area and the rich variety of traditional Chinese medicine resources, combined with the national drug resources census pilot work carried out, it is recommended to focus on attention and support in the national medicine resources census work, personnel team, funding, summary of results on the western and southern provinces.