Design of Smart Agriculture Japan Model
Design of Smart Agriculture Japan Model
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日本智慧农业模式设计
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
K. Hayashi
中科院分区：
文献类型：
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作者：
E. Morimoto;K. Hayashi
本文对日本基于智能农业机械系统（SAMS）的按需数据信息交换的智能农业模式进行了概要回顾。本研究开发了四台机器，即带有移动土壤传感器的智能插秧机；基于 CropSpec TM 的智能第二施肥机；带有移动倒伏分析系统的联合收割机产量监控器；和农场活动记录管理系统（FARMS）。该研究获得了 2016 年拍摄的 50 公顷稻田的 450,000 个表土数据集，以及 65,000 个作物状况数据集和 100 万张倒伏信息图像。结果表明，使用 FARMS 进行的田间测绘不仅可用于经理决定施肥，还可用于员工之间的信息共享。为期两年的可行性研究表明，与传统管理相比，肥料减少量提高了 20%，收获效率提高了 30%。研究表明，SAMS 将在不久的将来在技术继承中发挥重要作用。
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.