scholarly journals Sustainable Tea Garden Ecotourism Based on the Multifunctionality of Organic Agriculture Based on Artificial Intelligence Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Ruirui Hou ◽  
Chao Wen
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Organic Agriculture ◽  
Method Comparison ◽  
Modern Science ◽  
Survey Method ◽  
The Sustainable Development ◽  
Annual Output ◽  
Artificial Intelligence Technology ◽  
Tea Garden

There have been “tea-travel” resources combining tea gardens and tourism long ago. Chinese people pay more and more attention to the spiritual consumption demand, but they have been criticized because of their imperfect development. Although many experts and scholars have conducted research on this, they have not obtained valid results. However, with the development of modern science and technology agriculture, the emergence of organic agriculture can undoubtedly contribute to the sustainable development of tea garden ecotourism. Therefore, this article is based on the versatility of artificial intelligence technology and organic agriculture, starting from its definition and functional characteristics, combined with the current situation and development requirements of tea garden ecotourism, and deeply analyzes the sustainable development of tea garden ecotourism, ideas, and models in order to provide a reference for the development of ecotourism in China’s tea gardens. This paper uses the data analysis method, comparison method, questionnaire survey method, and other methods to first theoretically summarize the multifunctionality of organic agriculture and tea garden ecotourism and then takes Lushan Yunwu Tea Garden as an example to investigate the tea plantation area of Lushan in 2019 reaching 150,000 mu. The annual output reaches 20,000 tons, and the annual output value reaches 2.342 billion yuan; the plantation area of tea gardens in the country is expanded to 45.997 million mu in 2019, the output value increases to 25.47 billion yuan, and the sales volume reaches about 2 million tons. Research shows that based on artificial intelligence technology, the sustainable tea garden ecotourism market has broad prospects and good development prospects. The unique regional development model of Lushan Yunwu Tea Garden is worthy of reference for many domestic tea garden ecotourism scenic spots.

scholarly journals Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision

Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2882
Author(s):  
Thi Thu Em Vo ◽  
Hyeyoung Ko ◽  
Jun-Ho Huh ◽  
Yonghoon Kim
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Sustainable Development ◽  
Species Classification ◽  
The Sustainable Development ◽  
Aquaculture System ◽  
Aquaculture Industry ◽  
Intelligent Technology ◽  
Applications Of Machine Learning ◽  
Aquaculture Production

Smart aquaculture is nowadays one of the sustainable development trends for the aquaculture industry in intelligence and automation. Modern intelligent technologies have brought huge benefits to many fields including aquaculture to reduce labor, enhance aquaculture production, and be friendly to the environment. Machine learning is a subdivision of artificial intelligence (AI) by using trained algorithm models to recognize and learn traits from the data it watches. To date, there are several studies about applications of machine learning for smart aquaculture including measuring size, weight, grading, disease detection, and species classification. This review provides and overview of the development of smart aquaculture and intelligent technology. We summarized and collected 100 articles about machine learning in smart aquaculture from nearly 10 years about the methodology, results as well as the recent technology that should be used for development of smart aquaculture. We hope that this review will give readers interested in this field useful information.

scholarly journals Investigating a Serious Challenge in the Sustainable Development Process: Analysis of Confirmed cases of COVID-19 (New Type of Coronavirus) Through a Binary Classification Using Artificial Intelligence and Regression Analysis

2020 ◽  
Vol 12 (6) ◽  
pp. 2427 ◽  
Author(s):  
Behrouz Pirouz ◽  
Sina Shaffiee Haghshenas ◽  
Sami Shaffiee Haghshenas ◽  
Patrizia Piro
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Relative Humidity ◽  
Development Process ◽  
Binary Classification ◽  
Daily Temperature ◽  
Maximum Daily Temperature ◽  
The Sustainable Development ◽  
Epidemic Diseases

Nowadays, sustainable development is considered a key concept and solution in creating a promising and prosperous future for human societies. Nevertheless, there are some predicted and unpredicted problems that epidemic diseases are real and complex problems. Hence, in this research work, a serious challenge in the sustainable development process was investigated using the classification of confirmed cases of COVID-19 (new version of Coronavirus) as one of the epidemic diseases. Hence, binary classification modeling was used by the group method of data handling (GMDH) type of neural network as one of the artificial intelligence methods. For this purpose, the Hubei province in China was selected as a case study to construct the proposed model, and some important factors, namely maximum, minimum, and average daily temperature, the density of a city, relative humidity, and wind speed, were considered as the input dataset, and the number of confirmed cases was selected as the output dataset for 30 days. The proposed binary classification model provides higher performance capacity in predicting the confirmed cases. In addition, regression analysis has been done and the trend of confirmed cases compared with the fluctuations of daily weather parameters (wind, humidity, and average temperature). The results demonstrated that the relative humidity and maximum daily temperature had the highest impact on the confirmed cases. The relative humidity in the main case study, with an average of 77.9%, affected positively, and maximum daily temperature, with an average of 15.4 °C, affected negatively, the confirmed cases.

scholarly journals Features of legal regulation of artificial intelligence as a guarantee of sustainable development of society

2020 ◽  
Vol 208 ◽  
pp. 06010
Author(s):  
N.V. Mishina ◽  
I.R. Shikula ◽  
S.A. Afanasyeva
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
A Priori ◽  
Legal Regulation ◽  
Theoretical Research ◽  
Axiomatic Method ◽  
The Sustainable Development ◽  
Modeling And Forecasting ◽  
Analysis And Synthesis ◽  
Legal Model

The authors of the article consider the features of the legal regulation of artificial intelligence that guarantee the sustainable development of society in the era of global digitalization. The artificial intelligence-induced transformation of the world-building is leading to a change in the legal landscape. In this regard, the authors investigate artificial intelligence as a subject and object of legal regulation. The article provides an overview of foreign and Russian legislation in artificial intelligence, based on which a legal model of a single codified act is proposed. The authors advert to the need for technical and public control when introducing artificial intelligence into operation, and also for a priori legal regulation of artificial intelligence. Based on theoretical research methods, such as the axiomatic method, analysis and synthesis, systematization, modeling and forecasting, the authors conclude that a comprehensive, consistent, systemic and prospective legal regulation can remove the possible risks of introducing AI technologies, the threat of human destruction and provide a guarantee for the sustainable development of society.

scholarly journals Public Perception of Artificial Intelligence and Its Connections to the Sustainable Development Goals

2021 ◽  
Vol 13 (16) ◽  
pp. 9165
Author(s):  
Shin-Cheng Yeh ◽  
Ai-Wei Wu ◽  
Hui-Ching Yu ◽  
Homer C. Wu ◽  
Yi-Ping Kuo ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Public Perception ◽  
Sustainable Development Goals ◽  
College Major ◽  
Demographic Variables ◽  
High Tech ◽  
The Sustainable Development ◽  
Quality Water ◽  
Development Goals

Artificial Intelligence (AI) will not just change our lives but bring about revolutionary transformation. AI can augment efficiencies of good and bad things and thus has been considered both an opportunity and risk for the sustainable development of humans. This study designed a survey to collect 1018 samples of educated people with access to the internet in Taiwan regarding their perceptions of AI and its connections to the Sustainable Development Goals (SDGs). The respondents showed high confidence in their AI knowledge. They had a very positive attitude toward AI but at the same time thought AI was risky. In general, people in Taiwan could be “rational optimists” regarding AI. We also examined how people think of the linkages between AI and the SDGs and found that SDG 4, SDG 9, and SDG 3 had the highest “synergy” and lowest rates of “trade-off”. Significant differences for some key questions were also identified concerning the demographic variables such as gender, age, education, and college major. According to the data analysis, education played as the base to construct a sustainable AI-aided town with an embedded innovative circular economy and high-quality water and energy services, making the residents live healthier lives. The findings of this study can be referred to when the perceptions of AI and sustainability issues are of interest for an emerging high-tech economy such as Taiwan and other Asian countries.

scholarly journals Performance of Sustainable Development and Technological Innovation Based on Green Manufacturing Technology of Artificial Intelligence and Block Chain

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xiangyu Jiang ◽  
Gu-Hong Lin ◽  
Jui-Chan Huang ◽  
I-Hsiang Hu ◽  
Yen-Chun Chiu
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Manufacturing Industry ◽  
Technology Innovation ◽  
Green Manufacturing ◽  
Green Technology ◽  
Manufacturing Technology ◽  
The Sustainable Development ◽  
Blockchain Technology ◽  
Green Manufacturing Technology

The powerful advanced manufacturing industry is the most powerful driving force for economic development and growth, and it is also the main source of environmental pollution. Artificial intelligence and blockchain technology are recognized as a breakthrough technology that can be widely used, changing the way the entire society and economy operate. The main constraints affecting the sustainable development of the manufacturing industry are ecological deterioration and resource shortage, but the development of artificial intelligence and blockchain technology provides new ideas for solving manufacturing problems. Based on this, this paper proposes a research on the sustainable development performance of green manufacturing technology innovation based on artificial intelligence and blockchain technology. This paper deeply grasps the essence and connotation of artificial intelligence and blockchain technology, analyzes its specific application form and research background, searches for the effective effect of manufacturing technology innovation and green manufacturing performance path, and clarifies the mechanism between the two. All measurement items in the questionnaire used in this article use Likert5 scale and use 1–5 options to indicate the degree of conformity with the actual situation of the enterprise. The results show that the average green manufacturing capacity of each measurement item is between 3.18∼3.97, indicating that the company's green manufacturing capacity is relatively high. Among them, the ability of green technology innovation is relatively high, indicating that most companies have noticed that the improvement of the ability of green technology innovation plays a vital role in the future sustainable development of enterprises. Moreover, more and more companies are paying attention to the latest applications of blockchain technology, which can effectively promote the development of enterprises.

scholarly journals Sustainability Research on Promoting the Inheritance of Lacquer Art Based on the E-learning Mode—Case Study of the Popularization of Lacquer Art Education in Primary Schools in Guangzhou Area

2020 ◽  
Vol 12 (6) ◽  
pp. 2195
Author(s):  
Kuo-Kuang Fan ◽  
Xue-Hui Li ◽  
Meng-Jia Lu
Keyword(s):  
Sustainable Development ◽  
Art Education ◽  
Primary Schools ◽  
University Education ◽  
Practical Significance ◽  
Survey Method ◽  
Positive Role ◽  
The Sustainable Development ◽  
E Learning ◽  
Effective Role

This paper investigates the sustainable inheritance of contemporary lacquer art in the Guangzhou area. Based on the traditional teaching mode dominated by folk inheritance and university education, this paper develops the advantage of contemporary information technology and proposes the application of the e-learning mode to assist the popularization of lacquer art education in society, which plays a positive role in promoting the sustainable development of the lacquer art culture in Guangzhou. This study adopts literature analysis and the questionnaire survey method, and then integrates this learning mode into the lacquer art learning curriculum in primary schools. Finally, this paper summarizes and reflects on the teaching results, and presents the effective role of this model in promoting the teaching of lacquer art culture, which is of important practical significance for consolidating the sustainable development of contemporary lacquer art culture.

scholarly journals The Sustainable Development of Organic Agriculture-Tourism: The Role of Consumer Landscape and Pro-Environment Behavior

2020 ◽  
Vol 12 (15) ◽  
pp. 6264
Author(s):  
Lin-Lin Xue ◽  
Yen-Rung Chang ◽  
Ching-Cheng Shen
Keyword(s):  
Sustainable Development ◽  
Organic Agriculture ◽  
Agricultural Landscape ◽  
Positive Impact ◽  
Sustainable Tourism ◽  
Reliability And Validity ◽  
Environmental Identity ◽  
The Sustainable Development ◽  
Agricultural Tourism

The purpose of this study is to explore the influence path of organic agricultural landscape on tourists’ pro-environment behavior and loyalty, and put forward suggestions for realizing sustainable tourism of organic agriculture. The M-R model was employed to construct an integrated model of the influence of consumer landscape on pro-environment behavior and loyalty in organic agricultural tourism. The research framework and questionnaire design were constructed on the basis of literature review and 417 valid questionnaires which were collected from tourists in Eastern Taiwan (Hualien and Taidong). SPSS was employed to analyze the reliability and validity of the questionnaire and LISREL software was used to identify the influence path between variables. The results showed that: 1. The tourists’ cognition of consumer landscape will positively affect the environmental intimacy and environmental identity. 2. Tourists’ environmental intimacy and environmental identity will increase their pro-environmental behavior. 3. Tourists’ pro-environment behavior has a positive impact on their loyalty to organic agricultural tourism. The results show that organic agricultural tourism can stimulate tourists to understand the significance, importance and multiple values of the environment, and increase the intimacy and identity of tourists to the environment, which has a great effect on pro-environment behavior and loyalty. At the same time, it also shows that organic agricultural tourism is a sustainable tourism mode, which is worth promoting.

Eco-Innovation and IT Technologies for Sustainable Development of Health and Recreational Tourism of Serbia

2022 ◽  
pp. 171-190
Author(s):  
Gordana Petar Djukic ◽  
Ilic S. Biljana ◽  
Goran R. Milovanović
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Main Idea ◽  
Developed Countries ◽  
Rehabilitation Center ◽  
The Sustainable Development ◽  
Good Practices ◽  
The Subject ◽  
Ecological Tourism ◽  
New Strategies

The aim of the chapter is to point the importance of eco-innovation and IT technologies for the sustainable development of health and recreational tourism in Serbia. The subject of the research is the rehabilitation center in Eastern Serbia. The main idea of the chapter is to show how those hospital institutions use artificial intelligence-IT technologies for improving recovery services to patients in the post-COVID condition. The chapter will discuss the most common types of support and measures to facilitate the functioning of eco-tourism in Serbia with the aim to adopt good practices of developed countries (Hungary). Ecological tourism takes place in areas of pure and preserved nature. The contribution of the chapter is to point to new strategies in spa tourism, to shorten the time and reduce business costs. This would contribute to the sustainability of tourism.

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