精准农业和食品制造的物联网解决方案:人工智能在数字食品中的应用

R. Dolci
{"title":"精准农业和食品制造的物联网解决方案:人工智能在数字食品中的应用","authors":"R. Dolci","doi":"10.1109/COMPSAC.2017.157","DOIUrl":null,"url":null,"abstract":"In many respects, farming and food processing have lagged other industries when it comes to adoption of innovative technology. Whilst bioengineering has brought about seeds with much higher yield and less need for water and nutrients, it is only now with IoT that farmers can work on the intensive use of natural resources to increase the sustainability of their operations. In the last ten years, high-end machinery has evolved primarily to the benefit of larger corporations, with the introduction of satellite driven machines, sensors and all components of precision farming. The most recent IoT advances bring about a level of simplification and cost reduction that enable all farmers to benefit and a true adoption of prescription agriculture. In this conference presentation, we will examine a practical case of a Malthouse, where careful modeling of how CO2, Temperature, Humidity and PH vary in the three steps of the malting process, enabled an artificial intelligence system to prescribe different setting and schedules. The end result is malt with higher content of starch and proteins, which in turn means higher alcohol in the downstream process. A second example on the cultivation of Medical Marijuana, where similarly but in a more complex fashion (138 variables) the artificial intelligence supported the tuning of many settings and schedules, is presented only in the conference.","PeriodicalId":6556,"journal":{"name":"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)","volume":"1 1","pages":"384-385"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":"{\"title\":\"IoT Solutions for Precision Farming and Food Manufacturing: Artificial Intelligence Applications in Digital Food\",\"authors\":\"R. Dolci\",\"doi\":\"10.1109/COMPSAC.2017.157\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In many respects, farming and food processing have lagged other industries when it comes to adoption of innovative technology. Whilst bioengineering has brought about seeds with much higher yield and less need for water and nutrients, it is only now with IoT that farmers can work on the intensive use of natural resources to increase the sustainability of their operations. In the last ten years, high-end machinery has evolved primarily to the benefit of larger corporations, with the introduction of satellite driven machines, sensors and all components of precision farming. The most recent IoT advances bring about a level of simplification and cost reduction that enable all farmers to benefit and a true adoption of prescription agriculture. In this conference presentation, we will examine a practical case of a Malthouse, where careful modeling of how CO2, Temperature, Humidity and PH vary in the three steps of the malting process, enabled an artificial intelligence system to prescribe different setting and schedules. The end result is malt with higher content of starch and proteins, which in turn means higher alcohol in the downstream process. A second example on the cultivation of Medical Marijuana, where similarly but in a more complex fashion (138 variables) the artificial intelligence supported the tuning of many settings and schedules, is presented only in the conference.\",\"PeriodicalId\":6556,\"journal\":{\"name\":\"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)\",\"volume\":\"1 1\",\"pages\":\"384-385\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"34\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPSAC.2017.157\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPSAC.2017.157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 34

摘要

在许多方面,农业和食品加工在采用创新技术方面落后于其他行业。虽然生物工程带来了更高产量的种子,减少了对水和养分的需求,但只有现在有了物联网,农民才能集中利用自然资源,提高其运营的可持续性。在过去的十年里,随着卫星驱动机器、传感器和精密农业的所有组成部分的引入,高端机械的发展主要是为了大公司的利益。物联网的最新进展带来了一定程度的简化和成本降低,使所有农民都能受益,并真正采用处方农业。在本次会议的演讲中,我们将研究一个麦芽屋的实际案例,在这个案例中,人工智能系统对麦芽酿造过程的三个步骤中二氧化碳、温度、湿度和PH值的变化进行了仔细的建模,从而规定了不同的设置和时间表。最终的结果是淀粉和蛋白质含量更高的麦芽,这反过来意味着下游过程中的酒精含量更高。第二个关于医用大麻种植的例子,类似地,但以更复杂的方式(138个变量),人工智能支持许多设置和时间表的调整,只在会议上提出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IoT Solutions for Precision Farming and Food Manufacturing: Artificial Intelligence Applications in Digital Food
In many respects, farming and food processing have lagged other industries when it comes to adoption of innovative technology. Whilst bioengineering has brought about seeds with much higher yield and less need for water and nutrients, it is only now with IoT that farmers can work on the intensive use of natural resources to increase the sustainability of their operations. In the last ten years, high-end machinery has evolved primarily to the benefit of larger corporations, with the introduction of satellite driven machines, sensors and all components of precision farming. The most recent IoT advances bring about a level of simplification and cost reduction that enable all farmers to benefit and a true adoption of prescription agriculture. In this conference presentation, we will examine a practical case of a Malthouse, where careful modeling of how CO2, Temperature, Humidity and PH vary in the three steps of the malting process, enabled an artificial intelligence system to prescribe different setting and schedules. The end result is malt with higher content of starch and proteins, which in turn means higher alcohol in the downstream process. A second example on the cultivation of Medical Marijuana, where similarly but in a more complex fashion (138 variables) the artificial intelligence supported the tuning of many settings and schedules, is presented only in the conference.
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
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信