日本智慧农业模式设计

E. Morimoto, K. Hayashi
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引用次数: 5

摘要

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。
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Design of Smart Agriculture Japan Model
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.
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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)
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