{"title":"农业能源互联网在农业种植渔业中的关键技术及应用","authors":"Xueqian Fu , Haosen Niu","doi":"10.1016/j.inpa.2022.10.004","DOIUrl":null,"url":null,"abstract":"<div><p>Energy consumption in the agricultural sector is significant, reaching 20% of the total energy consumption in China. Agricultural Energy Internet, an important extension of Energy Internet in the agricultural field, significantly contributes to agricultural modernization. Key technologies of Agricultural Energy Internet are vital factors supporting its development. This article systematically reviews the key technologies of Agricultural Energy Internet for two areas: agriculture and fishery. The working mechanisms and power consumption characteristics of some state-of-the-art new-energy agricultural intelligent equipment are described. In addition, the principles and profit methods underlying the agro-industrial complementary operation model are introduced. Moreover, against the Agricultural Energy Internet background, the development trends of some state-of-the-art new energy agricultural intelligent equipment, agro-industrial complementary, and carbon–neutral technology are proposed in this paper, providing novel perspectives on the promotion of the development of Agricultural Energy Internet and related technological innovation research. An unmanned farm is the main form of the future agricultural system, which is powered by the Agricultural Energy Internet based on smart agriculture and a smart grid. It will become the inevitable trend of modern agriculture to replace oil agriculture with electric farms. The electricity in farming is mainly generated by renewable energy. Renewable energy power generation has low carbon emissions and is the future direction for the development of agricultural energy systems. In addition, the Internet of Things will be further strengthened to realize automation and intelligence of agricultural energy systems.</p></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"10 3","pages":"Pages 416-437"},"PeriodicalIF":7.7000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Key technologies and applications of agricultural energy Internet for agricultural planting and fisheries industry\",\"authors\":\"Xueqian Fu , Haosen Niu\",\"doi\":\"10.1016/j.inpa.2022.10.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Energy consumption in the agricultural sector is significant, reaching 20% of the total energy consumption in China. Agricultural Energy Internet, an important extension of Energy Internet in the agricultural field, significantly contributes to agricultural modernization. Key technologies of Agricultural Energy Internet are vital factors supporting its development. This article systematically reviews the key technologies of Agricultural Energy Internet for two areas: agriculture and fishery. The working mechanisms and power consumption characteristics of some state-of-the-art new-energy agricultural intelligent equipment are described. In addition, the principles and profit methods underlying the agro-industrial complementary operation model are introduced. Moreover, against the Agricultural Energy Internet background, the development trends of some state-of-the-art new energy agricultural intelligent equipment, agro-industrial complementary, and carbon–neutral technology are proposed in this paper, providing novel perspectives on the promotion of the development of Agricultural Energy Internet and related technological innovation research. An unmanned farm is the main form of the future agricultural system, which is powered by the Agricultural Energy Internet based on smart agriculture and a smart grid. It will become the inevitable trend of modern agriculture to replace oil agriculture with electric farms. The electricity in farming is mainly generated by renewable energy. Renewable energy power generation has low carbon emissions and is the future direction for the development of agricultural energy systems. In addition, the Internet of Things will be further strengthened to realize automation and intelligence of agricultural energy systems.</p></div>\",\"PeriodicalId\":53443,\"journal\":{\"name\":\"Information Processing in Agriculture\",\"volume\":\"10 3\",\"pages\":\"Pages 416-437\"},\"PeriodicalIF\":7.7000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Processing in Agriculture\",\"FirstCategoryId\":\"1091\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214317322000841\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Processing in Agriculture","FirstCategoryId":"1091","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214317322000841","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Key technologies and applications of agricultural energy Internet for agricultural planting and fisheries industry
Energy consumption in the agricultural sector is significant, reaching 20% of the total energy consumption in China. Agricultural Energy Internet, an important extension of Energy Internet in the agricultural field, significantly contributes to agricultural modernization. Key technologies of Agricultural Energy Internet are vital factors supporting its development. This article systematically reviews the key technologies of Agricultural Energy Internet for two areas: agriculture and fishery. The working mechanisms and power consumption characteristics of some state-of-the-art new-energy agricultural intelligent equipment are described. In addition, the principles and profit methods underlying the agro-industrial complementary operation model are introduced. Moreover, against the Agricultural Energy Internet background, the development trends of some state-of-the-art new energy agricultural intelligent equipment, agro-industrial complementary, and carbon–neutral technology are proposed in this paper, providing novel perspectives on the promotion of the development of Agricultural Energy Internet and related technological innovation research. An unmanned farm is the main form of the future agricultural system, which is powered by the Agricultural Energy Internet based on smart agriculture and a smart grid. It will become the inevitable trend of modern agriculture to replace oil agriculture with electric farms. The electricity in farming is mainly generated by renewable energy. Renewable energy power generation has low carbon emissions and is the future direction for the development of agricultural energy systems. In addition, the Internet of Things will be further strengthened to realize automation and intelligence of agricultural energy systems.
期刊介绍:
Information Processing in Agriculture (IPA) was established in 2013 and it encourages the development towards a science and technology of information processing in agriculture, through the following aims: • Promote the use of knowledge and methods from the information processing technologies in the agriculture; • Illustrate the experiences and publications of the institutes, universities and government, and also the profitable technologies on agriculture; • Provide opportunities and platform for exchanging knowledge, strategies and experiences among the researchers in information processing worldwide; • Promote and encourage interactions among agriculture Scientists, Meteorologists, Biologists (Pathologists/Entomologists) with IT Professionals and other stakeholders to develop and implement methods, techniques, tools, and issues related to information processing technology in agriculture; • Create and promote expert groups for development of agro-meteorological databases, crop and livestock modelling and applications for development of crop performance based decision support system. Topics of interest include, but are not limited to: • Smart Sensor and Wireless Sensor Network • Remote Sensing • Simulation, Optimization, Modeling and Automatic Control • Decision Support Systems, Intelligent Systems and Artificial Intelligence • Computer Vision and Image Processing • Inspection and Traceability for Food Quality • Precision Agriculture and Intelligent Instrument • The Internet of Things and Cloud Computing • Big Data and Data Mining