Soo-Hyun Cho, Seung-Woo Kang, Baek-Gyeom Sung, Dae-Hyun Lee
This study was conducted to apply a deep learning model to identify and visualise path areas in an orchard. Data was collected by attaching an image capture device to the front of a sprayer and driving it through an orchard. The collected data was classified into four classes: ground, trees, sky and obstacles for pre-processing for training. Sliding window techniques were used on the image dataset for model training and performance. The image was sampled using a sliding window method with 224x224 pixels and divided into train, validation, and test sets. A modified VGG16 algorithm was implemented and used to train the preprocessed image dataset. The performance results of this model showed an accuracy of up to approximately 99% on both the training and validation sets, and after building a confusion matrix using the test set, the classification performance was evaluated and showed an F1 score of 0.96. To visualise the results of this trained learning model, class activation maps were used to detect the paths in the orchard. The implementation of this method resulted in an average processing time of about 0.94 seconds per frame on the orchard footage, which could potentially be beneficial in real-time decision making scenarios in fruit farming where rapid response is important.
本研究旨在应用深度学习模型来识别果园中的路径区域并将其可视化。收集数据的方法是将图像捕捉装置安装在喷雾器前部，然后驾驶喷雾器穿过果园。收集到的数据被分为四类：地面、树木、天空和障碍物，用于训练前处理。在图像数据集上使用滑动窗口技术进行模型训练和性能测试。图像采用滑动窗口法采样，像素为 224x224，并分为训练集、验证集和测试集。采用改进的 VGG16 算法对预处理后的图像数据集进行训练。该模型的性能结果表明，在训练集和验证集上的准确率高达约 99%，在使用测试集建立混淆矩阵后，对分类性能进行了评估，结果显示 F1 得分为 0.96。为了使这一训练有素的学习模型的结果可视化，使用了类激活图来检测果园中的路径。采用这种方法后，果园画面的平均处理时间约为每帧 0.94 秒，这可能有利于水果种植业中需要快速反应的实时决策场景。
{"title":"CAM-based orchard path detection for developing an unmanned sprayer","authors":"Soo-Hyun Cho, Seung-Woo Kang, Baek-Gyeom Sung, Dae-Hyun Lee","doi":"10.12972/pastj.20230013","DOIUrl":"https://doi.org/10.12972/pastj.20230013","url":null,"abstract":"This study was conducted to apply a deep learning model to identify and visualise path areas in an orchard. Data was collected by attaching an image capture device to the front of a sprayer and driving it through an orchard. The collected data was classified into four classes: ground, trees, sky and obstacles for pre-processing for training. Sliding window techniques were used on the image dataset for model training and performance. The image was sampled using a sliding window method with 224x224 pixels and divided into train, validation, and test sets. A modified VGG16 algorithm was implemented and used to train the preprocessed image dataset. The performance results of this model showed an accuracy of up to approximately 99% on both the training and validation sets, and after building a confusion matrix using the test set, the classification performance was evaluated and showed an F1 score of 0.96. To visualise the results of this trained learning model, class activation maps were used to detect the paths in the orchard. The implementation of this method resulted in an average processing time of about 0.94 seconds per frame on the orchard footage, which could potentially be beneficial in real-time decision making scenarios in fruit farming where rapid response is important.","PeriodicalId":287207,"journal":{"name":"Precision Agriculture Science and Technology","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139331820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Plants when exposed to stressful conditions, accumulates array of metabolites. Among them proline plays significant and beneficial role as osmolyte, metal chelator and as anti-oxidative defense and regulator molecule. Thus the proline content is one of the potent bio-marker for the early detection of abiotic stress in plant. In this work a microfluidic paper-based electrochemical device (µPED) modified with copper oxide nanoparticles (CuO) decorated reduced graphene oxide (rGO) nanocomposite is utilized to develop disposable system for the detection of proline. Wax and screen printings were utilized to create microfluidic chambers and electrode pattern on paper device, respectively. Portable potentiostat was used for measuring the current in response from the addition of proline. The proposed sensor exhibits excellent electrochemical performance with broad linear responses over a proline concentration ranging from 0.1 mM to 7.5 mM (R2 =0.99) and showed lower detection limit of 0.05 mM at 0.4 V vs. pseudo Ag/AgCl. Excellent electrochemical performance may be attributed to presence of electroactive rGO and catalytic activity towards proline is due to the coordination between proline and copper (II) oxide nanoparticles. These results demonstrate that the proposed paper-based electrochemical sensor can be utilized in disposable and portable way to detect proline content in the abiotic-stressed plants and has potential to be applied in on-site application.
植物在承受压力的条件下会积累一系列代谢物。其中，脯氨酸作为渗透溶质、金属螯合剂以及抗氧化防御和调节分子，发挥着重要的有益作用。因此，脯氨酸含量是早期检测植物非生物胁迫的有效生物标记之一。在这项工作中，使用氧化铜纳米颗粒（CuO）装饰的还原氧化石墨烯（rGO）纳米复合材料改性的微流体纸基电化学装置（μPED）被用来开发一次性脯氨酸检测系统。利用蜡和丝网印刷分别在纸质装置上创建微流室和电极图案。便携式恒电位仪用于测量加入脯氨酸后的响应电流。所提出的传感器具有优异的电化学性能，在脯氨酸浓度为 0.1 mM 至 7.5 mM 时具有广泛的线性响应（R2 =0.99），在 0.4 V 时与假银/氯化银相比，检测限较低，为 0.05 mM。优异的电化学性能可能归功于电活性 rGO 的存在，而对脯氨酸的催化活性则归功于脯氨酸与纳米氧化铜（II）之间的配位。这些结果表明，所提出的纸基电化学传感器可用于一次性便携式检测非生物胁迫植物中的脯氨酸含量，具有现场应用的潜力。
{"title":"µPED based electrode modified with nanocomposite for the detection of proline: An abiotic stress biomarker in plant","authors":"M. Santhosh, Tusan Park","doi":"10.12972/pastj.20230012","DOIUrl":"https://doi.org/10.12972/pastj.20230012","url":null,"abstract":"Plants when exposed to stressful conditions, accumulates array of metabolites. Among them proline plays significant and beneficial role as osmolyte, metal chelator and as anti-oxidative defense and regulator molecule. Thus the proline content is one of the potent bio-marker for the early detection of abiotic stress in plant. In this work a microfluidic paper-based electrochemical device (µPED) modified with copper oxide nanoparticles (CuO) decorated reduced graphene oxide (rGO) nanocomposite is utilized to develop disposable system for the detection of proline. Wax and screen printings were utilized to create microfluidic chambers and electrode pattern on paper device, respectively. Portable potentiostat was used for measuring the current in response from the addition of proline. The proposed sensor exhibits excellent electrochemical performance with broad linear responses over a proline concentration ranging from 0.1 mM to 7.5 mM (R2 =0.99) and showed lower detection limit of 0.05 mM at 0.4 V vs. pseudo Ag/AgCl. Excellent electrochemical performance may be attributed to presence of electroactive rGO and catalytic activity towards proline is due to the coordination between proline and copper (II) oxide nanoparticles. These results demonstrate that the proposed paper-based electrochemical sensor can be utilized in disposable and portable way to detect proline content in the abiotic-stressed plants and has potential to be applied in on-site application.","PeriodicalId":287207,"journal":{"name":"Precision Agriculture Science and Technology","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139332847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hyo Jeong Kwon, Md Razob Ali, Ka Young Lee, Md Nasim Reza, Mohammod Ali, Md Shaha Nur Kabir, Sun-Ok Chung, Kanghee Jeong
Hydroponics, a soil-free plant cultivation technique, delivers nutrients directly to roots through a nutrient-rich solution. This method offers advantages over traditional soil-based approaches and has gained attention for its potential to revolutionize controlled agriculture. The review aimed to offer a summary of technological advancements and industrialization patterns in systems supplying circulating nutrient solutions. An intelligent nutrient management system enhances plant growth and productivity. The utilization of a circulating hydroponic cultivation setup can reduce environmental pollution and lower production expenses. As a result, circulating nutrient solution management systems are gaining global popularity, such as in the Netherlands, circular hydroponic cultivation has been advanced to over 95%. A limitation of circulation-type nutrient solution cultivation is the potential transmission and rapid formulation of pathogens during the recycling of discharged nutrient solutions. Addressing this concern, filtration and sterilization processes can offer viable solutions. To accelerate hydroponic farming, an integrated approach could be pursued, strengthen nutrient circulation management technology. This approach could aid in the implementation of such systems in countries like the Republic of Korea, where adoption of circulating hydroponic systems remains under 5%. The trend of technological advancement and industrial growth has been conducted through patent analysis and resources that have subsequently lead the way for the advancement of extensive hydroponic farming establishments. The cyclic hydroponic cultivation in the Republic of Korea was introduced in 2010, and based on the patent information, this endeavor gained momentum from 2020 onward. Furthermore, the analysis underscores the considerable potential of circulating nutrient solution supply systems as viable approaches for promoting sustainable and efficient food production. As a result, forthcoming research and innovation need to be tailored to the local context and prioritize user-centered methodologies, ultimately facilitating the integration and establishment of hydroponic systems in the Republic of Korea.
{"title":"Technology development and industrialization trends of circulating nutrient solution supply systems: a review","authors":"Hyo Jeong Kwon, Md Razob Ali, Ka Young Lee, Md Nasim Reza, Mohammod Ali, Md Shaha Nur Kabir, Sun-Ok Chung, Kanghee Jeong","doi":"10.12972/pastj.20230011","DOIUrl":"https://doi.org/10.12972/pastj.20230011","url":null,"abstract":"Hydroponics, a soil-free plant cultivation technique, delivers nutrients directly to roots through a nutrient-rich solution. This method offers advantages over traditional soil-based approaches and has gained attention for its potential to revolutionize controlled agriculture. The review aimed to offer a summary of technological advancements and industrialization patterns in systems supplying circulating nutrient solutions. An intelligent nutrient management system enhances plant growth and productivity. The utilization of a circulating hydroponic cultivation setup can reduce environmental pollution and lower production expenses. As a result, circulating nutrient solution management systems are gaining global popularity, such as in the Netherlands, circular hydroponic cultivation has been advanced to over 95%. A limitation of circulation-type nutrient solution cultivation is the potential transmission and rapid formulation of pathogens during the recycling of discharged nutrient solutions. Addressing this concern, filtration and sterilization processes can offer viable solutions. To accelerate hydroponic farming, an integrated approach could be pursued, strengthen nutrient circulation management technology. This approach could aid in the implementation of such systems in countries like the Republic of Korea, where adoption of circulating hydroponic systems remains under 5%. The trend of technological advancement and industrial growth has been conducted through patent analysis and resources that have subsequently lead the way for the advancement of extensive hydroponic farming establishments. The cyclic hydroponic cultivation in the Republic of Korea was introduced in 2010, and based on the patent information, this endeavor gained momentum from 2020 onward. Furthermore, the analysis underscores the considerable potential of circulating nutrient solution supply systems as viable approaches for promoting sustainable and efficient food production. As a result, forthcoming research and innovation need to be tailored to the local context and prioritize user-centered methodologies, ultimately facilitating the integration and establishment of hydroponic systems in the Republic of Korea.","PeriodicalId":287207,"journal":{"name":"Precision Agriculture Science and Technology","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139333765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chi-Ju Woo, Ho-Sung An, Ka Young Lee, Samsuzzaman Samsuzzaman, Md Shaha Nur Kabir, Sun-Ok Chung, Soon Jung Hong, Jong Kyu Ha
The rapid advancement of information and communication technology (ICT) has significantly transformed the agricultural sector, giving rise to the concept of smart farming. Smart farming involves the integration of various ICT equipment and technologies to enhance agricultural practices, improve productivity, and ensure sustainable resource utilization. As smart farming gains momentum, the need for standardized practices and equipment becomes crucial to ensure interoperability, reliability, and widespread adoption. This paper presents a comprehensive survey and analysis of national standardization trends for smart farm ICT equipment in smart farming. It introduces the standardization trends, smart farm ICT equipment national standard diffusion support project, and evaluation of testing ICT equipments. Additionally, it highlights the necessity and consequences of ensuring interoperability for ICT equipment in smart farming. Furthermore, the paper explores the challenges and opportunities associated with smart farm ICT equipment standardization. Challenges include reconciling diverse technical requirements, addressing security and privacy concerns, and maintaining adaptability to evolving technological landscapes. On the other hand, standardization offers the opportunity to accelerate innovation, enable market growth, and establish a foundation for sustainable agricultural practices.
{"title":"Survey and analysis of national standardization trends for smart farm ICT equipment","authors":"Chi-Ju Woo, Ho-Sung An, Ka Young Lee, Samsuzzaman Samsuzzaman, Md Shaha Nur Kabir, Sun-Ok Chung, Soon Jung Hong, Jong Kyu Ha","doi":"10.12972/pastj.20230010","DOIUrl":"https://doi.org/10.12972/pastj.20230010","url":null,"abstract":"The rapid advancement of information and communication technology (ICT) has significantly transformed the agricultural sector, giving rise to the concept of smart farming. Smart farming involves the integration of various ICT equipment and technologies to enhance agricultural practices, improve productivity, and ensure sustainable resource utilization. As smart farming gains momentum, the need for standardized practices and equipment becomes crucial to ensure interoperability, reliability, and widespread adoption. This paper presents a comprehensive survey and analysis of national standardization trends for smart farm ICT equipment in smart farming. It introduces the standardization trends, smart farm ICT equipment national standard diffusion support project, and evaluation of testing ICT equipments. Additionally, it highlights the necessity and consequences of ensuring interoperability for ICT equipment in smart farming. Furthermore, the paper explores the challenges and opportunities associated with smart farm ICT equipment standardization. Challenges include reconciling diverse technical requirements, addressing security and privacy concerns, and maintaining adaptability to evolving technological landscapes. On the other hand, standardization offers the opportunity to accelerate innovation, enable market growth, and establish a foundation for sustainable agricultural practices.","PeriodicalId":287207,"journal":{"name":"Precision Agriculture Science and Technology","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139332339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Precision water management is crucial for greenhouse agriculture to maximize crop yields in sandy soil. Due to the low water holding capacity, it is necessary to monitor the water movement in different depths of sandy soil to ensure effective irrigation. Therefore, this study aimed to develop a data acquisition (DAQ) system for sandy soil water content monitoring in an experimental soil bin inside a greenhouse, utilizing the capabilities of the Internet of Things (IoT). A drip irrigation system was implemented, arranged in four pipelines, spaced 60 cm apart, with drippers placed at 30 cm intervals along the pipeline. The overall system was installed in a sandy soil testing bin. A DAQ system was comprised of three basic units: sensor interfacing and circuit board, programming and sensor data acquisition, and data storage and monitoring. A microprocessor was used by interfacing a set of soil water content sensors, ambient temperature, and humidity sensors. The water content sensors were placed in the soil at different depths of 10, 20, 30, 40, and 50 cm, respectively. A microcontroller was used to collect and send the sensor data to monitor and store in memory. During the test, the maximum and minimum average of soil water content, ambient temperature, and humidity values were observed at 33.91±2.5 to 26.95±1.3%, 21.39±2.1 to 42.84±1.7°C, and 48.73±2.3 to 99.90±0.3%, respectively. The water content percentages were varied at different depths of sandy soil due to low water holding capacity. The developed automatic DAQ system would help with remote monitoring and control of greenhouse irrigation, considering the different crop characteristics and environmental conditions.
{"title":"Development of a sandy soil water content monitoring system for greenhouses using Internet of Things","authors":"Mohammod Ali, Md Razob Ali, Md. Ashrafuzzaman Gulandaz, Md Asrakul Haque, Md Sazzadul Kabir, Sun-Ok Chung","doi":"10.12972/pastj.20230014","DOIUrl":"https://doi.org/10.12972/pastj.20230014","url":null,"abstract":"Precision water management is crucial for greenhouse agriculture to maximize crop yields in sandy soil. Due to the low water holding capacity, it is necessary to monitor the water movement in different depths of sandy soil to ensure effective irrigation. Therefore, this study aimed to develop a data acquisition (DAQ) system for sandy soil water content monitoring in an experimental soil bin inside a greenhouse, utilizing the capabilities of the Internet of Things (IoT). A drip irrigation system was implemented, arranged in four pipelines, spaced 60 cm apart, with drippers placed at 30 cm intervals along the pipeline. The overall system was installed in a sandy soil testing bin. A DAQ system was comprised of three basic units: sensor interfacing and circuit board, programming and sensor data acquisition, and data storage and monitoring. A microprocessor was used by interfacing a set of soil water content sensors, ambient temperature, and humidity sensors. The water content sensors were placed in the soil at different depths of 10, 20, 30, 40, and 50 cm, respectively. A microcontroller was used to collect and send the sensor data to monitor and store in memory. During the test, the maximum and minimum average of soil water content, ambient temperature, and humidity values were observed at 33.91±2.5 to 26.95±1.3%, 21.39±2.1 to 42.84±1.7°C, and 48.73±2.3 to 99.90±0.3%, respectively. The water content percentages were varied at different depths of sandy soil due to low water holding capacity. The developed automatic DAQ system would help with remote monitoring and control of greenhouse irrigation, considering the different crop characteristics and environmental conditions.","PeriodicalId":287207,"journal":{"name":"Precision Agriculture Science and Technology","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139331994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of the Cutting Performance of Baler Chopper","authors":"","doi":"10.12972/pastj.20200005","DOIUrl":"https://doi.org/10.12972/pastj.20200005","url":null,"abstract":"","PeriodicalId":287207,"journal":{"name":"Precision Agriculture Science and Technology","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125241394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improvement Design for Collecting Device of Jujube Collector","authors":"","doi":"10.12972/pastj.20210015","DOIUrl":"https://doi.org/10.12972/pastj.20210015","url":null,"abstract":"","PeriodicalId":287207,"journal":{"name":"Precision Agriculture Science and Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116661206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Disease symptom detection for automatic forecasting in onion fields","authors":"","doi":"10.12972/pastj.20200014","DOIUrl":"https://doi.org/10.12972/pastj.20200014","url":null,"abstract":"","PeriodicalId":287207,"journal":{"name":"Precision Agriculture Science and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122709127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of artificial neural network in smart protected horticulture: A review","authors":"","doi":"10.12972/pastj.20230003","DOIUrl":"https://doi.org/10.12972/pastj.20230003","url":null,"abstract":"","PeriodicalId":287207,"journal":{"name":"Precision Agriculture Science and Technology","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124717504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deep learning based identification of Pepper (Capsicum annuum L.) diseases: A review","authors":"","doi":"10.12972/pastj.20230006","DOIUrl":"https://doi.org/10.12972/pastj.20230006","url":null,"abstract":"","PeriodicalId":287207,"journal":{"name":"Precision Agriculture Science and Technology","volume":"44 3-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114026237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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