This paper proposes a method for evaluating the ecological value of coral reef resources and garden engineering construction assets. By analyzing the state transition of coral reef ecosystems after multiple disturbances, it is shown that ecological resilience is crucial to maintaining the stability and sustainability of the system. Among the many factors that determine coral reef ecosystems, the loss of biodiversity will make the system more vulnerable to external disturbances and continue to degrade. On the basis of relevant research work at home and abroad, combined with China's coral reef ecosystem monitoring capabilities, a set of evaluation index systems for China's coral reef ecosystems are proposed to provide a reference for in-depth understanding of the resilience of China's coral reef ecosystems, and establish a system to protect and improve coral reefs. Ecosystem-oriented management will provide more options for addressing the degradation of coral reef resources.
{"title":"Construction and Application of Coral Reef Resources Garden Engineering Based on Ecological Value Assessment","authors":"Ren Wang","doi":"10.4018/ijaeis.335890","DOIUrl":"https://doi.org/10.4018/ijaeis.335890","url":null,"abstract":"This paper proposes a method for evaluating the ecological value of coral reef resources and garden engineering construction assets. By analyzing the state transition of coral reef ecosystems after multiple disturbances, it is shown that ecological resilience is crucial to maintaining the stability and sustainability of the system. Among the many factors that determine coral reef ecosystems, the loss of biodiversity will make the system more vulnerable to external disturbances and continue to degrade. On the basis of relevant research work at home and abroad, combined with China's coral reef ecosystem monitoring capabilities, a set of evaluation index systems for China's coral reef ecosystems are proposed to provide a reference for in-depth understanding of the resilience of China's coral reef ecosystems, and establish a system to protect and improve coral reefs. Ecosystem-oriented management will provide more options for addressing the degradation of coral reef resources.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":"7 14","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139440139","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}
Based on the data set of AVHRR GIMMS, TERRA/AQUA MODIS NDVI, and climate data from 1982 to 2018, CASA model, GIS spatial analysis, and mathematical statistics were used to study the changing law in the category of time and space, spatial distribution, and the correlativity between the NPP and meteorological factors in the sandy land of China's Seasonal Freezing-Thawing Typical Region. The results showed that the average annual NPP value of vegetation in the growing season of the sandy land from 1982 to 2018 fluctuated between 217.65-356.61 gC/m2a, showing an obvious seasonality and a significant increase. The spatial distribution of NPP in the sandy land in the near 37a is significantly different. There are significant seasonal differences in vegetation responses to temperature, precipitation, wind speed, evaporation, and other meteorological factors in different regions. The increase of vegetation cover in sandy land of China's Seasonal Freezing-Thawing Typical Region is controlled by regional atmospheric circulation and human dynamics.
{"title":"Spatiotemporal Evolution of NPP in Sandy Land of China's Seasonal Freezing-Thawing Typical Region","authors":"Jingfa Wang, Huishi Du","doi":"10.4018/ijaeis.312254","DOIUrl":"https://doi.org/10.4018/ijaeis.312254","url":null,"abstract":"Based on the data set of AVHRR GIMMS, TERRA/AQUA MODIS NDVI, and climate data from 1982 to 2018, CASA model, GIS spatial analysis, and mathematical statistics were used to study the changing law in the category of time and space, spatial distribution, and the correlativity between the NPP and meteorological factors in the sandy land of China's Seasonal Freezing-Thawing Typical Region. The results showed that the average annual NPP value of vegetation in the growing season of the sandy land from 1982 to 2018 fluctuated between 217.65-356.61 gC/m2a, showing an obvious seasonality and a significant increase. The spatial distribution of NPP in the sandy land in the near 37a is significantly different. There are significant seasonal differences in vegetation responses to temperature, precipitation, wind speed, evaporation, and other meteorological factors in different regions. The increase of vegetation cover in sandy land of China's Seasonal Freezing-Thawing Typical Region is controlled by regional atmospheric circulation and human dynamics.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43211473","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}
A new sludge processing method was developed by the Beta Company, a paper manufacturing company. The new method will shorten the time for transforming sludge into organic fertilizers, which will improve the process of handling the waste generated by a paper manufacturing company. The paper industry is facing the most rigorous regulations for processing wastewater and sludge to date in the history of many industrialized and developing countries. The Beta Company attempted to improve the conventional method implemented in-company for handling sludge generated during the paper manufacturing process, instead of shipping sludge out-of- company for processing by a third party. The current experimental results show positive improvement, indicating the Beta Company is moving one step closer toward environmental sustainability commitments.
{"title":"A New Resource Recovery Process for Refining Sludge Generated by a Paper Manufacturing Company","authors":"Chiwei Chen, Jenn-Shing Chen","doi":"10.4018/ijaeis.313174","DOIUrl":"https://doi.org/10.4018/ijaeis.313174","url":null,"abstract":"A new sludge processing method was developed by the Beta Company, a paper manufacturing company. The new method will shorten the time for transforming sludge into organic fertilizers, which will improve the process of handling the waste generated by a paper manufacturing company. The paper industry is facing the most rigorous regulations for processing wastewater and sludge to date in the history of many industrialized and developing countries. The Beta Company attempted to improve the conventional method implemented in-company for handling sludge generated during the paper manufacturing process, instead of shipping sludge out-of- company for processing by a third party. The current experimental results show positive improvement, indicating the Beta Company is moving one step closer toward environmental sustainability commitments.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43178622","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}
Jean Vincent Fonou Dombeu, Nadia Naidoo, Micara Ramnanan, Rachan Gowda, S. Lawton
{"title":"OntoCSA: A Climate-Smart Agriculture Ontology","authors":"Jean Vincent Fonou Dombeu, Nadia Naidoo, Micara Ramnanan, Rachan Gowda, S. Lawton","doi":"10.4018/ijaeis.292476","DOIUrl":"https://doi.org/10.4018/ijaeis.292476","url":null,"abstract":"","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":"12 1","pages":"1-20"},"PeriodicalIF":1.4,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70447892","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}
Pub Date : 2020-01-01DOI: 10.4018/ijaeis.2020010101
Marcos Roberto dos Santos, Guilherme Afonso Madalozzo, J. M. Fernandes, Rafael Rieder
Computer vision and image processing procedures could obtain crop data frequently and precisely, such as vegetation indexes, and correlating them with other variables, like biomass and crop yield. This work presents the development of a computer vision system for high-throughput phenotyping, considering three solutions: an image capture software linked to a low-cost appliance; an image-processing program for feature extraction; and a web application for results' presentation. As a case study, we used normalized difference vegetation index (NDVI) data from a wheat crop experiment of the Brazilian Agricultural Research Corporation. Regression analysis showed that NDVI explains 98.9, 92.8, and 88.2% of the variability found in the biomass values for crop plots with 82, 150, and 200 kg of N ha1 fertilizer applications, respectively. As a result, NDVI generated by our system presented a strong correlation with the biomass, showing a way to specify a new yield prediction model from the beginning of the crop.
计算机视觉和图像处理程序可以频繁而精确地获取作物数据，如植被指数，并将其与生物量和作物产量等其他变量相关联。这项工作提出了一种用于高通量表型的计算机视觉系统的发展，考虑了三种解决方案:与低成本设备相连的图像捕获软件;用于特征提取的图像处理程序;以及一个用于结果展示的web应用程序。作为案例研究，我们使用了巴西农业研究公司小麦作物试验的归一化植被指数(NDVI)数据。回归分析表明，NDVI分别解释了施用82,150和200 kg N - ha1的作物地块生物量值的98.9%，92.8%和88.2%的变异。结果表明，该系统生成的NDVI与生物量具有较强的相关性，为从作物开始指定新的产量预测模型提供了一种方法。
{"title":"Fenômica","authors":"Marcos Roberto dos Santos, Guilherme Afonso Madalozzo, J. M. Fernandes, Rafael Rieder","doi":"10.4018/ijaeis.2020010101","DOIUrl":"https://doi.org/10.4018/ijaeis.2020010101","url":null,"abstract":"Computer vision and image processing procedures could obtain crop data frequently and precisely, such as vegetation indexes, and correlating them with other variables, like biomass and crop yield. This work presents the development of a computer vision system for high-throughput phenotyping, considering three solutions: an image capture software linked to a low-cost appliance; an image-processing program for feature extraction; and a web application for results' presentation. As a case study, we used normalized difference vegetation index (NDVI) data from a wheat crop experiment of the Brazilian Agricultural Research Corporation. Regression analysis showed that NDVI explains 98.9, 92.8, and 88.2% of the variability found in the biomass values for crop plots with 82, 150, and 200 kg of N ha1 fertilizer applications, respectively. As a result, NDVI generated by our system presented a strong correlation with the biomass, showing a way to specify a new yield prediction model from the beginning of the crop.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/ijaeis.2020010101","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70447852","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}
Pub Date : 2019-01-01DOI: 10.4018/978-1-5225-1814-3.CH013
Peeyush Gupta, Swati Goyal
Before an individual can evaluate wildlife habitat and make management recommendations, some basic concepts about habitat and its relationships to different wildlife species should be understood. In this chapter, some of the basic concepts will be described; mainly analyzing of habitat alterations, landscape analysis, networking and creation of corridor between protected areas, wildlife habitat suitability analysis using Remote Sensing & GIS. Since most of the contest will be based on these concepts. Like other natural resource fields, wildlife management is both an art and science that deals with complex interactions in the environment. This means that management includes art or judgment based on experience as well as sound factual information based on scientific studies.
{"title":"Wildlife Habitat Evaluation","authors":"Peeyush Gupta, Swati Goyal","doi":"10.4018/978-1-5225-1814-3.CH013","DOIUrl":"https://doi.org/10.4018/978-1-5225-1814-3.CH013","url":null,"abstract":"Before an individual can evaluate wildlife habitat and make management recommendations, some basic concepts about habitat and its relationships to different wildlife species should be understood. In this chapter, some of the basic concepts will be described; mainly analyzing of habitat alterations, landscape analysis, networking and creation of corridor between protected areas, wildlife habitat suitability analysis using Remote Sensing & GIS. Since most of the contest will be based on these concepts. Like other natural resource fields, wildlife management is both an art and science that deals with complex interactions in the environment. This means that management includes art or judgment based on experience as well as sound factual information based on scientific studies.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":"19 4 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77486609","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}
Pub Date : 2019-01-01DOI: 10.4018/978-1-5225-7033-2.CH061
S. Dalgıç, İbrahim Kuşku
The one of important matter of the design of tunnel is that choosing of the building materials and to make away rock material from tunnel walls or surface. Another important point is that these factors are effective for the building of tunnel process. It is necessary to investigation detailed the matters such as choosing the route of tunnel, the method of excavation, design of tunnel, choosing of the building material, to preparing to application Project, revision of the Project, recycling of the rest materials etc. The one of important duty of engineer is that to realize the importance of security and economic conditions together. It isn't random the economic and timing work about this type of project, on the contrary it is definitely depending on good geotechnical and geological pre-research. The research which is along the route of tunnel supply economic and feasible work for the Project. The unit of in this book we will describe the methodology of tunnel building by using suit geotechnical and geological processes.
{"title":"Geological and Geotechnical Investigations in Tunneling","authors":"S. Dalgıç, İbrahim Kuşku","doi":"10.4018/978-1-5225-7033-2.CH061","DOIUrl":"https://doi.org/10.4018/978-1-5225-7033-2.CH061","url":null,"abstract":"The one of important matter of the design of tunnel is that choosing of the building materials and to make away rock material from tunnel walls or surface. Another important point is that these factors are effective for the building of tunnel process. It is necessary to investigation detailed the matters such as choosing the route of tunnel, the method of excavation, design of tunnel, choosing of the building material, to preparing to application Project, revision of the Project, recycling of the rest materials etc. The one of important duty of engineer is that to realize the importance of security and economic conditions together. It isn't random the economic and timing work about this type of project, on the contrary it is definitely depending on good geotechnical and geological pre-research. The research which is along the route of tunnel supply economic and feasible work for the Project. The unit of in this book we will describe the methodology of tunnel building by using suit geotechnical and geological processes.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":"497 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79904811","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}
Pub Date : 2019-01-01DOI: 10.4018/978-1-5225-2947-7.CH017
P. Bhargavi, S. Jyothi
The recent development of sensors remote sensing is an important source of information for mapping and natural and man-made land covers. The increasing amounts of available hyperspectral data originates from AVIRIS, HyMap, and Hyperion for a wide range of applications in the data volume, velocity, and variety of data contributed to the term big data. Sensing is enabled by Wireless Sensor Network (WSN) technologies to infer and understand environmental indicators, from delicate ecologies and natural resources to urban environments. The communication network creates the Internet of Things (IoT) where sensors and actuators blend with the environment around us, and the information is shared across platforms in order to develop a common operating picture (COP). With RFID tags, embedded sensor and actuator nodes, the next revolutionary technology developed transforming the Internet into a fully integrated Future Internet. This chapter describes the use of Big Data and Internet of the Things for analyzing and designing various systems based on hyperspectral images.
{"title":"Big Data and Internet of Things for Analysing and Designing Systems Based on Hyperspectral Images","authors":"P. Bhargavi, S. Jyothi","doi":"10.4018/978-1-5225-2947-7.CH017","DOIUrl":"https://doi.org/10.4018/978-1-5225-2947-7.CH017","url":null,"abstract":"The recent development of sensors remote sensing is an important source of information for mapping and natural and man-made land covers. The increasing amounts of available hyperspectral data originates from AVIRIS, HyMap, and Hyperion for a wide range of applications in the data volume, velocity, and variety of data contributed to the term big data. Sensing is enabled by Wireless Sensor Network (WSN) technologies to infer and understand environmental indicators, from delicate ecologies and natural resources to urban environments. The communication network creates the Internet of Things (IoT) where sensors and actuators blend with the environment around us, and the information is shared across platforms in order to develop a common operating picture (COP). With RFID tags, embedded sensor and actuator nodes, the next revolutionary technology developed transforming the Internet into a fully integrated Future Internet. This chapter describes the use of Big Data and Internet of the Things for analyzing and designing various systems based on hyperspectral images.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89888886","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}
Pub Date : 2019-01-01DOI: 10.4018/978-1-5225-0937-0.CH002
R. Laurini
In many domains such as environmental and urban planning, experts need to make reasoning and propose solutions. However marketed GIS software products are limited to store, display geographic information together with additional tools such as in spatial analysis, but they do not offer users the real functionalities which are useful for territorial intelligence. This first step is to propose novel models to represent this kind of knowledge needing not only to integrate geographic aspects, but also be independent of data acquisition technologies (satellite images, laser, crowdsourcing, etc.) and able to be used in different languages. After the definitions of geographic ontologies (to organize geographic feature vocabulary) and gazetteers (to structure toponyms in various languages), various examples will be presented in order to extract geographic semantics. A special attention will be devoted to geographic rules.
{"title":"Nature of Geographic Knowledge Bases","authors":"R. Laurini","doi":"10.4018/978-1-5225-0937-0.CH002","DOIUrl":"https://doi.org/10.4018/978-1-5225-0937-0.CH002","url":null,"abstract":"In many domains such as environmental and urban planning, experts need to make reasoning and propose solutions. However marketed GIS software products are limited to store, display geographic information together with additional tools such as in spatial analysis, but they do not offer users the real functionalities which are useful for territorial intelligence. This first step is to propose novel models to represent this kind of knowledge needing not only to integrate geographic aspects, but also be independent of data acquisition technologies (satellite images, laser, crowdsourcing, etc.) and able to be used in different languages. After the definitions of geographic ontologies (to organize geographic feature vocabulary) and gazetteers (to structure toponyms in various languages), various examples will be presented in order to extract geographic semantics. A special attention will be devoted to geographic rules.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":"30 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76665977","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}
Pub Date : 2019-01-01DOI: 10.4018/978-1-5225-5088-4.CH009
M. Tasçioglu, D. Yener
Geographical information systems (GIS) are the systems that store location-based data and analyze them. GIS originated from the conventional cartographic techniques of simply drawing maps with a pencil and board. Following the adoption of computer technology, GIS further evolved as a geo-referenced dynamic information system, which can today be considered as a multi-disciplinary instrument that links different disciplines like geography, computer science, remote sensing, civil engineering, statistics, marketing, and other social and behavioral sciences. In this chapter, GIS is defined and its importance and functions are described in detail. Usage of GIS in marketing is explained, especially its development in marketing theory. Also, the value and scope of GIS in tourism management with a view to understand the spread of GIS applications in tourism is explored.
{"title":"The Value and Scope of GIS in Marketing and Tourism Management","authors":"M. Tasçioglu, D. Yener","doi":"10.4018/978-1-5225-5088-4.CH009","DOIUrl":"https://doi.org/10.4018/978-1-5225-5088-4.CH009","url":null,"abstract":"Geographical information systems (GIS) are the systems that store location-based data and analyze them. GIS originated from the conventional cartographic techniques of simply drawing maps with a pencil and board. Following the adoption of computer technology, GIS further evolved as a geo-referenced dynamic information system, which can today be considered as a multi-disciplinary instrument that links different disciplines like geography, computer science, remote sensing, civil engineering, statistics, marketing, and other social and behavioral sciences. In this chapter, GIS is defined and its importance and functions are described in detail. Usage of GIS in marketing is explained, especially its development in marketing theory. Also, the value and scope of GIS in tourism management with a view to understand the spread of GIS applications in tourism is explored.","PeriodicalId":54004,"journal":{"name":"International Journal of Agricultural and Environmental Information Systems","volume":"26 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72543405","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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