Design of Smart Agriculture Japan Model

E. Morimoto, K. Hayashi
{"title":"Design of Smart Agriculture Japan Model","authors":"E. Morimoto, K. Hayashi","doi":"10.1017/S2040470017000371","DOIUrl":null,"url":null,"abstract":"This paper presents schematic review for the smart agricultural model in Japan using data-on-demand information exchange based on smart agricultural machinery systems (SAMS). Four machines were developed in this study, namely Smart rice trans-planter with on-the-go soil sensor; Smart 2nd fertilizer applicator based on CropSpec TM ; Yield monitor combine harvester with on-the-go lodging analysis system; and Farm Activity Record Management System (FARMS). The study obtained 450,000 datasets of topsoil accompanied by 65,000 datasets of crop status and 1 million images of lodging information from 50 ha of rice fields, taken in 2016. The results conclude that the field mapping using FARMS was available not only for manager’s decision on fertilizer application, but also for information sharing between employees. A two year feasibility study showed improvement of 20% fertilizer reduction and 30% harvest efficiency than conventional management. The study suggests that SAMS would play an important role for technology succession in the near future.","PeriodicalId":7228,"journal":{"name":"Advances in Animal Biosciences","volume":"14 1","pages":"713-717"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Animal Biosciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/S2040470017000371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

This paper presents schematic review for the smart agricultural model in Japan using data-on-demand information exchange based on smart agricultural machinery systems (SAMS). Four machines were developed in this study, namely Smart rice trans-planter with on-the-go soil sensor; Smart 2nd fertilizer applicator based on CropSpec TM ; Yield monitor combine harvester with on-the-go lodging analysis system; and Farm Activity Record Management System (FARMS). The study obtained 450,000 datasets of topsoil accompanied by 65,000 datasets of crop status and 1 million images of lodging information from 50 ha of rice fields, taken in 2016. The results conclude that the field mapping using FARMS was available not only for manager’s decision on fertilizer application, but also for information sharing between employees. A two year feasibility study showed improvement of 20% fertilizer reduction and 30% harvest efficiency than conventional management. The study suggests that SAMS would play an important role for technology succession in the near future.
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
日本智慧农业模式设计
本文介绍了基于智能农业机械系统(SAMS)的数据按需信息交换的日本智能农业模式的概要综述。本研究共开发了4台机器,分别是:带移动式土壤传感器的智能水稻插秧机;基于CropSpec TM的智能二次施肥器带动态倒伏分析系统的产量监测联合收割机农场活动记录管理系统(FARMS)。该研究从2016年拍摄的50公顷稻田中获得了45万组表土数据集、6.5万组作物状况数据集和100万张住宿信息图像。结果表明,利用FARMS进行田间测绘不仅可以为管理者的施肥决策提供依据,而且可以为员工之间的信息共享提供依据。一项为期两年的可行性研究表明,与传统管理相比,该方法可减少20%的肥料,提高30%的收获效率。研究表明,在不久的将来,SAMS将在技术继承中发挥重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Proceedings of the British Society of Animal Science Proceedings of the XIIIth International Symposium on Ruminant Physiology (ISRP 2019) Proceedings of the British Society of Animal Science Proceedings of the Seventeenth Biennial Conference of the Australasian Pig Science Association (APSA) Proceedings of the 9th Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT)
×
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