人工智能,农牧行业可能的解决方案?

A. Rotaru, A. Vâtcă, I. Pop, Luisa Andronie
{"title":"人工智能,农牧行业可能的解决方案?","authors":"A. Rotaru, A. Vâtcă, I. Pop, Luisa Andronie","doi":"10.15835/buasvmcn-asb:2021.0004","DOIUrl":null,"url":null,"abstract":"This paper aims at making a review of the artificial intelligence concept, its global scope from the agro-livestock sector perspective and the understanding, approach and application of this concept Romania in early 2021. Artificial intelligence is a computer science sub-field that is materialized by algorithms developed starting from the logical or mathematical models of the cognition, perception and action processes. Globally, large agricultural companies are trying to grasp concepts such as big data, artificial intelligence (AI), machine learning and analysis. These areas have moved rapidly towards the agro-livestock sector too, but most companies have not been prepared to deal thoroughly with these new technologies. It really sounds interesting, but what does it take to take the next steps? The voice of the expert says: “If we really want to have a global impact on food sustainability, production and safety, we need to think about data standards, data sharing, benchmarking and analysis on aggregated data sets. Today, we see farmers who are reluctant to share data with agritech companies that have developed closed systems, which will hinder the evolution of things” (Claudia Roessler, IT specialist, Microsoft).","PeriodicalId":9587,"journal":{"name":"Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Animal Science and Biotechnologies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence, a possible solution for agriculture and animal husbandry sector?\",\"authors\":\"A. Rotaru, A. Vâtcă, I. Pop, Luisa Andronie\",\"doi\":\"10.15835/buasvmcn-asb:2021.0004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims at making a review of the artificial intelligence concept, its global scope from the agro-livestock sector perspective and the understanding, approach and application of this concept Romania in early 2021. Artificial intelligence is a computer science sub-field that is materialized by algorithms developed starting from the logical or mathematical models of the cognition, perception and action processes. Globally, large agricultural companies are trying to grasp concepts such as big data, artificial intelligence (AI), machine learning and analysis. These areas have moved rapidly towards the agro-livestock sector too, but most companies have not been prepared to deal thoroughly with these new technologies. It really sounds interesting, but what does it take to take the next steps? The voice of the expert says: “If we really want to have a global impact on food sustainability, production and safety, we need to think about data standards, data sharing, benchmarking and analysis on aggregated data sets. Today, we see farmers who are reluctant to share data with agritech companies that have developed closed systems, which will hinder the evolution of things” (Claudia Roessler, IT specialist, Microsoft).\",\"PeriodicalId\":9587,\"journal\":{\"name\":\"Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Animal Science and Biotechnologies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Animal Science and Biotechnologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15835/buasvmcn-asb:2021.0004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Animal Science and Biotechnologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15835/buasvmcn-asb:2021.0004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文旨在从农牧业的角度回顾人工智能概念及其全球范围,以及罗马尼亚在2021年初对这一概念的理解、方法和应用。人工智能是一个计算机科学子领域,由从认知、感知和行动过程的逻辑或数学模型开始开发的算法具体化。在全球范围内,大型农业公司正试图掌握大数据、人工智能、机器学习和分析等概念。这些领域也迅速转向农牧业,但大多数公司还没有准备好彻底应对这些新技术。这听起来真的很有趣,但需要什么才能采取下一步行动?专家的声音说:“如果我们真的想对食品可持续性、生产和安全产生全球影响,我们需要考虑数据标准、数据共享、基准测试和对聚合数据集的分析。今天,我们看到农民不愿意与开发了封闭系统的农业科技公司共享数据,这将阻碍事物的发展。”(微软IT专家Claudia Roessler)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Artificial intelligence, a possible solution for agriculture and animal husbandry sector?
This paper aims at making a review of the artificial intelligence concept, its global scope from the agro-livestock sector perspective and the understanding, approach and application of this concept Romania in early 2021. Artificial intelligence is a computer science sub-field that is materialized by algorithms developed starting from the logical or mathematical models of the cognition, perception and action processes. Globally, large agricultural companies are trying to grasp concepts such as big data, artificial intelligence (AI), machine learning and analysis. These areas have moved rapidly towards the agro-livestock sector too, but most companies have not been prepared to deal thoroughly with these new technologies. It really sounds interesting, but what does it take to take the next steps? The voice of the expert says: “If we really want to have a global impact on food sustainability, production and safety, we need to think about data standards, data sharing, benchmarking and analysis on aggregated data sets. Today, we see farmers who are reluctant to share data with agritech companies that have developed closed systems, which will hinder the evolution of things” (Claudia Roessler, IT specialist, Microsoft).
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
5
审稿时长
8 weeks
期刊最新文献
Potentials of Exogenous Melatonin Administration on Growth and Performance of West African Dwarf bucks Pig Carcass Quality Evolution in Romania Phenotypic Characterization of Sheep Population in Aures, Hodna and Ziban Zones, Algeria Larvicidal Efficacy of a Tropical Seaweed (Dictyota ciliolata) Extracts on Vectorial Mosquito Species and Non-Target Effect on Guppy Fish (Poecilia reticulata) Haemoparasite Prevalence, Genetic Diversity of TLR2B Gene and Relationship with Haematological Parameters in Chicken
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1