农业能源互联网在农业种植渔业中的关键技术及应用

IF 7.7 Q1 AGRICULTURE, MULTIDISCIPLINARY Information Processing in Agriculture Pub Date : 2023-09-01 DOI:10.1016/j.inpa.2022.10.004
Xueqian Fu , Haosen Niu
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引用次数: 26

摘要

农业领域的能源消耗很大,占中国能源消耗总量的20%。农业能源互联网是能源互联网在农业领域的重要延伸,对农业现代化具有重要意义。农业能源互联网的关键技术是支撑其发展的重要因素。本文系统评述了农业和渔业两个领域的农业能源互联网关键技术。介绍了几种新型新能源农业智能装备的工作机理和功耗特点。此外,还介绍了农产互补经营模式的原理和盈利方法。此外,在农业能源互联网背景下,本文提出了一些最先进的新能源农业智能装备、农产互补和碳中和技术的发展趋势,为推动农业能源互联网的发展和相关技术创新研究提供了新的视角。无人农场是未来农业系统的主要形式,以智慧农业和智能电网为基础的农业能源互联网为动力。以电力农场代替石油农业将成为现代农业发展的必然趋势。农业用电主要由可再生能源产生。可再生能源发电具有低碳排放的特点,是未来农业能源系统发展的方向。此外,将进一步加强物联网,实现农业能源系统的自动化和智能化。
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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.

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来源期刊
Information Processing in Agriculture
Information Processing in Agriculture Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
21.10
自引率
0.00%
发文量
80
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
期刊最新文献
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