Spotted wing drosophila, Drosophila suzukii (Matsumura) (SWD), is emerging as the most significant pest of berries and stone fruits worldwide. With a broad host range, thin-skinned berries are particularly susceptible...Spotted wing drosophila, Drosophila suzukii (Matsumura) (SWD), is emerging as the most significant pest of berries and stone fruits worldwide. With a broad host range, thin-skinned berries are particularly susceptible to infestation, and fruit producers are desperate for methods to control this pest. One of the keys to developing an integrated management program for SWD is to understand host preference and varietal susceptibility of highly susceptible crop hosts. Working in replicated small plots, experiments were conducted to evaluate differences in varietal susceptibility on cold hardy red primocane fruiting raspberries. Significant differences were observed in both the level of infestation and in the average number of larvae per berry by variety. In addition, it appears that there is a significant negative correlation between the level of infestation and the number of larvae per fruit with the time of sampling, but only an interaction of variety and time for the number of larvae per berry. These data provide a better understanding of the biology and ecology of this pest which is critical in refining current management practices. Knowledge of these interactions can aid in optimizing control strategies such as fine-tuning spatial and temporal control measures, which may be particularly important for early season infestations.展开更多
Spotted wing drosophila, <i>Drosophila suzukii</i> (Matsumura) (SWD), is emerging as the most significant pest of berries and stone fruits worldwide. With a broad host range, thin-skinned berries are parti...Spotted wing drosophila, <i>Drosophila suzukii</i> (Matsumura) (SWD), is emerging as the most significant pest of berries and stone fruits worldwide. With a broad host range, thin-skinned berries are particularly susceptible to infestation, and fruit producers are desperate for methods to control this pest. One of the keys to developing an integrated management program for SWD is to understand host preference and varietal susceptibility of highly susceptible crop hosts. Working in replicated small plots, experiments were conducted to evaluate differences in varietal susceptibility on cold hardy red primocane fruiting raspberries. Significant differences were observed in both the level of infestation and in the average number of larvae per berry by variety. In addition, it appears that there is a significant negative correlation between the level of infestation and the number of larvae per fruit with the time of sampling, but only an interaction of variety and time for the number of larvae per berry. These data provide a better understanding of the biology and ecology of this pest which is critical in refining current management practices. Knowledge of these interactions can aid in optimizing control strategies such as fine-tuning spatial and temporal control measures, which may be particularly important for early season infestations.展开更多
Soilless (hydroponic) vegetables and fruits grown in greenhouses are gaining popularity and potentially represent a compliment toward sustainable food sources. Only a few studies have looked at the nutrient quality of...Soilless (hydroponic) vegetables and fruits grown in greenhouses are gaining popularity and potentially represent a compliment toward sustainable food sources. Only a few studies have looked at the nutrient quality of strawberries (Fragaria × ananassa) and raspberries (Rubus idaeus) grown in soilless systems. Dry weights, content of ascorbic acid, tocopherol, total polyphenolic compounds, glucose, fructose, and soluble solids (BRIX) of strawberries and raspberries grown in soilless systems were compared to their counterpart grown in soil. There was no change in dry weights but BRIX values (28% - 31%), glucose (158% - 175%), and fructose (75% - 102%) content for strawberries and raspberries respectively were significantly higher for the soil grown berries compared to soilless grown berries. Contents of ascorbic acid, tocopherol and total polyphenolic compounds were significantly higher in soilless grown strawberries compared to soil grown strawberries by 74%, 53%, and 22% respectively, and contents of ascorbic acid and total polyphenolic compounds were significantly higher in soil grown raspberries by 83% and 67% respectively compared to soilless grown raspberries. Soilless grown produce warrants future research to strive toward the potential to provide nutrient dense crops and opportunities toward optimized sustainable production.展开更多
Raspberries are known to have an abundant amount of the health promoting bioactive compounds, and increasing consumption has been associated with prevention of several chronic diseases. Growing fruits hydroponically c...Raspberries are known to have an abundant amount of the health promoting bioactive compounds, and increasing consumption has been associated with prevention of several chronic diseases. Growing fruits hydroponically compared to soil-grown has several environmental benefits and can be an option of sustainable food production in non-arable regions of the world. This research investigated the viability, unspecified sensory differences, ascorbic acid, tocopherol, total polyphenolic bioactive compounds and catechins of hydroponic raspberries compared to soil-grown raspberries. Overall, plant survival rate for hydroponic raspberries was 33% and for soil-grown raspberries, it was 66%. Fruit yield per plant was 10% higher in hydroponic raspberries compared to soil-grown. Sensory evaluation results by untrained participants illustrated that they were unable to differentiate between hydroponic and soil-grown raspberries. Nutritional analysis indicated similar values except for ascorbic acid, which was significantly higher in soil-grown raspberries. Growing raspberries hydroponically is feasible and sensory qualities are equal to soil-grown raspberries. Future research should investigate different methods of growing hydroponic raspberries for higher plant survival rates and eventually to determine if hydroponic raspberries may be grown on a commercial scale.展开更多
为了解决森林火灾、盗伐树木和伤害野生动物等林业管理方面的问题,设计了基于ROS的智能林业巡逻机器人。该机器人采用Raspberry Pi 4B作为主控、STM32F103RCT6拓展板作为辅控,主要硬件采用深度相机、激光雷达等,多种传感器协同对各种复...为了解决森林火灾、盗伐树木和伤害野生动物等林业管理方面的问题,设计了基于ROS的智能林业巡逻机器人。该机器人采用Raspberry Pi 4B作为主控、STM32F103RCT6拓展板作为辅控,主要硬件采用深度相机、激光雷达等,多种传感器协同对各种复杂环境进行环境感知。系统使用Ubuntu18.04,在电脑终端利用VNC远程控制平台对机器人进行操控。机器人具备自主巡逻、实时监控和物体识别等功能,并选用Cartographer建图算法进行自主导航,利用深度学习算法YOLOv4-tiny进行物体识别。实验测试结果表明,智能林业巡逻机器人运行稳定,可有效解决林业管理的问题,具有很高的实际应用价值。展开更多
In order to improve the quality of 3D printed raspberry preserves after post-processing,microwave ovens combining infrared and microwave methods were utilized.The effects of infrared heating temperature,infrared heati...In order to improve the quality of 3D printed raspberry preserves after post-processing,microwave ovens combining infrared and microwave methods were utilized.The effects of infrared heating temperature,infrared heating time,microwave power,microwave heating time on the center temperature,moisture content,the chroma(C*),the total color difference(ΔE*),shape fidelity,hardness,and the total anthocyanin content of 3D printed raspberry preserves were analyzed by response surface method(RSM).The results showed that under combining with the two methods,infrared heating improved the fidelity and quality degradation of printed products,while microwave heating enhanced the efficiency of infrared heating.Infrared-microwave combination cooking could maintain relatively stable color appearance and shape of 3D printed raspberry preserves.The AHP–CRITIC hybrid weighting method combined with the response surface test to determine the comprehensive weights of the evaluation indicators optimized the process parameters,and the optimal process parameters were obtained:infrared heating temperature of 190℃,infrared heating time of 10 min and 30 s,microwave power of 300 W,and microwave heating time of 2 min and 6 s.The 3D printed raspberry cooking methods obtained under the optimal conditions seldom had color variation,porous structure,uniform texture,and high shape fidelity,which retained the characteristics of personalized manufacturing by 3D printing.This study could provide a reference for the postprocessing and quality control of 3D cooking methods.展开更多
With the rapid development of the Internet of Things(IoT),artificial intelligence,and big data,wastesorting systems must balance high accuracy,low latency,and resource efficiency.This paper presents an edge-friendly i...With the rapid development of the Internet of Things(IoT),artificial intelligence,and big data,wastesorting systems must balance high accuracy,low latency,and resource efficiency.This paper presents an edge-friendly intelligent waste-sorting system that integrates a lightweight visual neural network,a pentagonal-trajectory robotic arm,and IoT connectivity to meet the requirements of real-time response and high accuracy.A lightweight object detection model,YOLO-WasNet(You Only Look Once for Waste Sorting Network),is proposed to optimize performance on edge devices.YOLO-WasNet adopts a lightweight backbone,applies Spatial Pyramid Pooling-Fast(SPPF)and Convolutional Block Attention Module(CBAM),and replaces traditional C3 modules(Cross Stage Partial Bottleneck with 3 convolutions)with efficient C2f blocks(Cross Stage Partial Bottleneck with 2 Convolutions fast)in the neck.Additionally,a Depthwise Parallel Triple-attention Convolution(DPT-Conv)operator is introduced to enhance feature extraction.Experiments on a custom dataset of nine waste categories conforming to Shanghai’s sorting standard(7,917 images)show that YOLO-WasNet achieves a mean average precision(mAP50)of 96.8%and a precision of 96.9%,while reducing computational cost by 30%compared to YOLOv5s.On a Raspberry Pi 4B,inference time is reduced from 480 to 350 ms,ensuring real-time performance.This system offers a practical and viable solution for low-cost,efficient automated waste management in smart cities.展开更多
Penetration testing plays a critical role in ensuring security in an increasingly interconnected world. Despite advancements in technology leading to smaller, more portable devices, penetration testing remains reliant...Penetration testing plays a critical role in ensuring security in an increasingly interconnected world. Despite advancements in technology leading to smaller, more portable devices, penetration testing remains reliant on traditional laptops and computers, which, while portable, lack true ultra-portability. This paper explores the potential impact of developing a dedicated, ultra-portable, low-cost device for on-the-go penetration testing. Such a device could replicate the core functionalities of advanced penetration testing tools, including those found in Kali Linux, within a compact form factor that fits easily into a pocket. By offering the convenience and portability akin to a smartphone, this innovative device could redefine the way penetration testers operate, enabling them to carry essential tools wherever they go and ensuring they are always prepared to conduct security assessments efficiently. This approach aims to revolutionize penetration testing by merging high functionality with unparalleled portability.展开更多
This study investigated the use of raspberry extract(RBE) for mitigating ethyl carbamate(EC) accumulation in Chinese rice wine(Huangjiu), a traditional fermented beverage. It focused on the addition of RBE to the ferm...This study investigated the use of raspberry extract(RBE) for mitigating ethyl carbamate(EC) accumulation in Chinese rice wine(Huangjiu), a traditional fermented beverage. It focused on the addition of RBE to the fermentation mash and its effects on EC levels. The results showed a significant reduction in EC production that could be attributed to RBE's role in altering urea and citrulline catabolism and inhibiting arginine metabolism, thus preventing EC precursors from reacting with ethanol. Additionally, RBE enhanced the rice wine's flavor profile, as shown by volatile component and amino acid analysis. This study also explored RBE's impact on the metabolism of arginine by Saccharomyces cerevisiae in a simulated fermentation environment, and found increased arginine, reduced urea and citrulline levels, altered enzyme activities, and gene expression changes in the arginine metabolism and transport pathways. In conclusion, the results clearly demonstrated RBE's efficacy in reducing the EC content in Chinese rice wine, offering valuable insights for EC reduction strategies.展开更多
Significance:Over 80%of cervical cancer cases occur in lower-to-middle income countries(LMIC’s).This is partly because current screening techniques lack affordability,accessibility,and/or reliability for use in LMIC...Significance:Over 80%of cervical cancer cases occur in lower-to-middle income countries(LMIC’s).This is partly because current screening techniques lack affordability,accessibility,and/or reliability for use in LMIC’s.Aim:To develop an optical technique for cervical cancer screening that is affordable,accessible,and reliable for use in LMIC’s.Approach:We developed a portable diffuse reflectance spectroscopy(DRS)system,which costs$<2500 USD to manufacture,and employs a Raspberry Pi to extract the absorption(μα)and reduced scattering(μ′s)coefficients of biological tissue.The system was subject to travel and intentional rough handling.It was further used to capture 320 DRS spectra taken from 64 tissue-mimicking phantoms.Two users collected phantom data,one“expert”,and one“novice”in biomedical optics.The system was also used to collect 335 spectra from colon,small intestine,and rectal tissue of a fresh ex vivo porcine specimen.A previously described artificial intelligence model was used to extract optical properties,and a GradientBoostingClassifier identified the organ of origin for ex vivo spectra.Results:System alignment was robust to intentional rough handling and travel.Phantomμαandμ′s were predicted with average root-mean square error of<10%,regardless of user.Regarding ex vivo data,the system predicted the organ of origin with 80–90%accuracy.Statistical differences between predicted wereμαobserved in all three organs(P<0.001–0.03),and betweenμ′s in two organs(P<0.001–0.07).Conclusions:The DRS system has the potential to be affordable,reliable,and accessible for cervical screening in LMIC’s.展开更多
针对大型气象监测站成本高、覆盖范围有限、灵活性差的问题,设计了一套面向局部定点区域的智能化微型气象监测系统。首先,基于树莓派Raspberry Pi 4B平台开发了一套微型气象数据采集装置,可实现多种气象参数的实时采集与传输。然后,基...针对大型气象监测站成本高、覆盖范围有限、灵活性差的问题,设计了一套面向局部定点区域的智能化微型气象监测系统。首先,基于树莓派Raspberry Pi 4B平台开发了一套微型气象数据采集装置,可实现多种气象参数的实时采集与传输。然后,基于Qt开发了一款服务端软件,实现了针对前端采集气象数据的接收、存储、管理和可视化显示。前端采集系统实现了多种气象信息的综合检测,且系统功能可靠稳定;服务端系统实现的大数据管理和图形化显示,增强了系统可读性和实用性。该系统不仅能为气象数据的联合分析提供可靠数据源,也为业界开发相关商业产品提供了借鉴思路。展开更多
文摘Spotted wing drosophila, Drosophila suzukii (Matsumura) (SWD), is emerging as the most significant pest of berries and stone fruits worldwide. With a broad host range, thin-skinned berries are particularly susceptible to infestation, and fruit producers are desperate for methods to control this pest. One of the keys to developing an integrated management program for SWD is to understand host preference and varietal susceptibility of highly susceptible crop hosts. Working in replicated small plots, experiments were conducted to evaluate differences in varietal susceptibility on cold hardy red primocane fruiting raspberries. Significant differences were observed in both the level of infestation and in the average number of larvae per berry by variety. In addition, it appears that there is a significant negative correlation between the level of infestation and the number of larvae per fruit with the time of sampling, but only an interaction of variety and time for the number of larvae per berry. These data provide a better understanding of the biology and ecology of this pest which is critical in refining current management practices. Knowledge of these interactions can aid in optimizing control strategies such as fine-tuning spatial and temporal control measures, which may be particularly important for early season infestations.
文摘Spotted wing drosophila, <i>Drosophila suzukii</i> (Matsumura) (SWD), is emerging as the most significant pest of berries and stone fruits worldwide. With a broad host range, thin-skinned berries are particularly susceptible to infestation, and fruit producers are desperate for methods to control this pest. One of the keys to developing an integrated management program for SWD is to understand host preference and varietal susceptibility of highly susceptible crop hosts. Working in replicated small plots, experiments were conducted to evaluate differences in varietal susceptibility on cold hardy red primocane fruiting raspberries. Significant differences were observed in both the level of infestation and in the average number of larvae per berry by variety. In addition, it appears that there is a significant negative correlation between the level of infestation and the number of larvae per fruit with the time of sampling, but only an interaction of variety and time for the number of larvae per berry. These data provide a better understanding of the biology and ecology of this pest which is critical in refining current management practices. Knowledge of these interactions can aid in optimizing control strategies such as fine-tuning spatial and temporal control measures, which may be particularly important for early season infestations.
文摘Soilless (hydroponic) vegetables and fruits grown in greenhouses are gaining popularity and potentially represent a compliment toward sustainable food sources. Only a few studies have looked at the nutrient quality of strawberries (Fragaria × ananassa) and raspberries (Rubus idaeus) grown in soilless systems. Dry weights, content of ascorbic acid, tocopherol, total polyphenolic compounds, glucose, fructose, and soluble solids (BRIX) of strawberries and raspberries grown in soilless systems were compared to their counterpart grown in soil. There was no change in dry weights but BRIX values (28% - 31%), glucose (158% - 175%), and fructose (75% - 102%) content for strawberries and raspberries respectively were significantly higher for the soil grown berries compared to soilless grown berries. Contents of ascorbic acid, tocopherol and total polyphenolic compounds were significantly higher in soilless grown strawberries compared to soil grown strawberries by 74%, 53%, and 22% respectively, and contents of ascorbic acid and total polyphenolic compounds were significantly higher in soil grown raspberries by 83% and 67% respectively compared to soilless grown raspberries. Soilless grown produce warrants future research to strive toward the potential to provide nutrient dense crops and opportunities toward optimized sustainable production.
文摘Raspberries are known to have an abundant amount of the health promoting bioactive compounds, and increasing consumption has been associated with prevention of several chronic diseases. Growing fruits hydroponically compared to soil-grown has several environmental benefits and can be an option of sustainable food production in non-arable regions of the world. This research investigated the viability, unspecified sensory differences, ascorbic acid, tocopherol, total polyphenolic bioactive compounds and catechins of hydroponic raspberries compared to soil-grown raspberries. Overall, plant survival rate for hydroponic raspberries was 33% and for soil-grown raspberries, it was 66%. Fruit yield per plant was 10% higher in hydroponic raspberries compared to soil-grown. Sensory evaluation results by untrained participants illustrated that they were unable to differentiate between hydroponic and soil-grown raspberries. Nutritional analysis indicated similar values except for ascorbic acid, which was significantly higher in soil-grown raspberries. Growing raspberries hydroponically is feasible and sensory qualities are equal to soil-grown raspberries. Future research should investigate different methods of growing hydroponic raspberries for higher plant survival rates and eventually to determine if hydroponic raspberries may be grown on a commercial scale.
文摘为了解决森林火灾、盗伐树木和伤害野生动物等林业管理方面的问题,设计了基于ROS的智能林业巡逻机器人。该机器人采用Raspberry Pi 4B作为主控、STM32F103RCT6拓展板作为辅控,主要硬件采用深度相机、激光雷达等,多种传感器协同对各种复杂环境进行环境感知。系统使用Ubuntu18.04,在电脑终端利用VNC远程控制平台对机器人进行操控。机器人具备自主巡逻、实时监控和物体识别等功能,并选用Cartographer建图算法进行自主导航,利用深度学习算法YOLOv4-tiny进行物体识别。实验测试结果表明,智能林业巡逻机器人运行稳定,可有效解决林业管理的问题,具有很高的实际应用价值。
基金Supported by the National Natural Science Foundation of China(32072352)。
文摘In order to improve the quality of 3D printed raspberry preserves after post-processing,microwave ovens combining infrared and microwave methods were utilized.The effects of infrared heating temperature,infrared heating time,microwave power,microwave heating time on the center temperature,moisture content,the chroma(C*),the total color difference(ΔE*),shape fidelity,hardness,and the total anthocyanin content of 3D printed raspberry preserves were analyzed by response surface method(RSM).The results showed that under combining with the two methods,infrared heating improved the fidelity and quality degradation of printed products,while microwave heating enhanced the efficiency of infrared heating.Infrared-microwave combination cooking could maintain relatively stable color appearance and shape of 3D printed raspberry preserves.The AHP–CRITIC hybrid weighting method combined with the response surface test to determine the comprehensive weights of the evaluation indicators optimized the process parameters,and the optimal process parameters were obtained:infrared heating temperature of 190℃,infrared heating time of 10 min and 30 s,microwave power of 300 W,and microwave heating time of 2 min and 6 s.The 3D printed raspberry cooking methods obtained under the optimal conditions seldom had color variation,porous structure,uniform texture,and high shape fidelity,which retained the characteristics of personalized manufacturing by 3D printing.This study could provide a reference for the postprocessing and quality control of 3D cooking methods.
文摘With the rapid development of the Internet of Things(IoT),artificial intelligence,and big data,wastesorting systems must balance high accuracy,low latency,and resource efficiency.This paper presents an edge-friendly intelligent waste-sorting system that integrates a lightweight visual neural network,a pentagonal-trajectory robotic arm,and IoT connectivity to meet the requirements of real-time response and high accuracy.A lightweight object detection model,YOLO-WasNet(You Only Look Once for Waste Sorting Network),is proposed to optimize performance on edge devices.YOLO-WasNet adopts a lightweight backbone,applies Spatial Pyramid Pooling-Fast(SPPF)and Convolutional Block Attention Module(CBAM),and replaces traditional C3 modules(Cross Stage Partial Bottleneck with 3 convolutions)with efficient C2f blocks(Cross Stage Partial Bottleneck with 2 Convolutions fast)in the neck.Additionally,a Depthwise Parallel Triple-attention Convolution(DPT-Conv)operator is introduced to enhance feature extraction.Experiments on a custom dataset of nine waste categories conforming to Shanghai’s sorting standard(7,917 images)show that YOLO-WasNet achieves a mean average precision(mAP50)of 96.8%and a precision of 96.9%,while reducing computational cost by 30%compared to YOLOv5s.On a Raspberry Pi 4B,inference time is reduced from 480 to 350 ms,ensuring real-time performance.This system offers a practical and viable solution for low-cost,efficient automated waste management in smart cities.
文摘Penetration testing plays a critical role in ensuring security in an increasingly interconnected world. Despite advancements in technology leading to smaller, more portable devices, penetration testing remains reliant on traditional laptops and computers, which, while portable, lack true ultra-portability. This paper explores the potential impact of developing a dedicated, ultra-portable, low-cost device for on-the-go penetration testing. Such a device could replicate the core functionalities of advanced penetration testing tools, including those found in Kali Linux, within a compact form factor that fits easily into a pocket. By offering the convenience and portability akin to a smartphone, this innovative device could redefine the way penetration testers operate, enabling them to carry essential tools wherever they go and ensuring they are always prepared to conduct security assessments efficiently. This approach aims to revolutionize penetration testing by merging high functionality with unparalleled portability.
基金supported by the National Natural Science Foundation of China(32202125)the Science and Technology Plan Project of Shaoxing City,China(2022A12003)the Zhejiang Provincial Natural Science Foundation,China(LY24C200004).
文摘This study investigated the use of raspberry extract(RBE) for mitigating ethyl carbamate(EC) accumulation in Chinese rice wine(Huangjiu), a traditional fermented beverage. It focused on the addition of RBE to the fermentation mash and its effects on EC levels. The results showed a significant reduction in EC production that could be attributed to RBE's role in altering urea and citrulline catabolism and inhibiting arginine metabolism, thus preventing EC precursors from reacting with ethanol. Additionally, RBE enhanced the rice wine's flavor profile, as shown by volatile component and amino acid analysis. This study also explored RBE's impact on the metabolism of arginine by Saccharomyces cerevisiae in a simulated fermentation environment, and found increased arginine, reduced urea and citrulline levels, altered enzyme activities, and gene expression changes in the arginine metabolism and transport pathways. In conclusion, the results clearly demonstrated RBE's efficacy in reducing the EC content in Chinese rice wine, offering valuable insights for EC reduction strategies.
文摘Significance:Over 80%of cervical cancer cases occur in lower-to-middle income countries(LMIC’s).This is partly because current screening techniques lack affordability,accessibility,and/or reliability for use in LMIC’s.Aim:To develop an optical technique for cervical cancer screening that is affordable,accessible,and reliable for use in LMIC’s.Approach:We developed a portable diffuse reflectance spectroscopy(DRS)system,which costs$<2500 USD to manufacture,and employs a Raspberry Pi to extract the absorption(μα)and reduced scattering(μ′s)coefficients of biological tissue.The system was subject to travel and intentional rough handling.It was further used to capture 320 DRS spectra taken from 64 tissue-mimicking phantoms.Two users collected phantom data,one“expert”,and one“novice”in biomedical optics.The system was also used to collect 335 spectra from colon,small intestine,and rectal tissue of a fresh ex vivo porcine specimen.A previously described artificial intelligence model was used to extract optical properties,and a GradientBoostingClassifier identified the organ of origin for ex vivo spectra.Results:System alignment was robust to intentional rough handling and travel.Phantomμαandμ′s were predicted with average root-mean square error of<10%,regardless of user.Regarding ex vivo data,the system predicted the organ of origin with 80–90%accuracy.Statistical differences between predicted wereμαobserved in all three organs(P<0.001–0.03),and betweenμ′s in two organs(P<0.001–0.07).Conclusions:The DRS system has the potential to be affordable,reliable,and accessible for cervical screening in LMIC’s.
文摘针对大型气象监测站成本高、覆盖范围有限、灵活性差的问题,设计了一套面向局部定点区域的智能化微型气象监测系统。首先,基于树莓派Raspberry Pi 4B平台开发了一套微型气象数据采集装置,可实现多种气象参数的实时采集与传输。然后,基于Qt开发了一款服务端软件,实现了针对前端采集气象数据的接收、存储、管理和可视化显示。前端采集系统实现了多种气象信息的综合检测,且系统功能可靠稳定;服务端系统实现的大数据管理和图形化显示,增强了系统可读性和实用性。该系统不仅能为气象数据的联合分析提供可靠数据源,也为业界开发相关商业产品提供了借鉴思路。
