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Structure of a digital agriculture system and agricultural risks due to climate changes

机译:由于气候变化,数字农业系统的结构和农业风险

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Digital agriculture is an application of the “digital earth” concept proposed in the 1990s and is an expansion of the concept of “precision farming” which emphasizes on agricultural production procedures. A digital agricultural system is a database that includes not only various kinds of data relevant to agriculture, ranging from soil conditions to market assessment, but also optimal decision functions that help make best decisions in a series of agricultural production and marketing processes. Such a system is an important agricultural risk management tool, which can help assess risks due to climate change, develop a revenue protection plan for producers, and generate a soil quality management plan. This paper describes a structure that was originally proposed to the Canadian digital agriculture system; National Land and Water Information Sei-vice. The agroclimate database structure is described in detail, including data error estimation methods and guidance for generating optimal decision fiinctions. The crop insurance under the future climate change scenarios require a strategic plan to deal with the altered tail probability distribution of the unfavourable weather events, such as drought, flooding, extreme wind, and extreme temperature. The digital agriculture system is an effective tool for insurance industry to use to develop a dynamical business plan for the changing climate. This paper includes two examples of the climate changes over Alberta Province, Canada, and over the contiguousUnited States for over 100 years. Alberta, six agroclimate parameters were considered for the period of 1901-2001. For the US, two warm periods in 1895-2008 were identified: the 1930s “Dust Bowl” drought and the recent warmth of the last two decades. The United States agriculture suffered a catastrophic loss in the “Dust Bowl” period. Because of the effective insurance plans and the critical governmental assistance, the agricultural loss due to drought and other disasters weather events in the lasttwo decades was not catastrophic but still serious. Nine of the ten warmest winters according to the seasonal daily-minimum SAT and nine of the ten hottest years according the annual daily-mean SAT were in these two periods. The exception occurred duringa short-lived period of anomalous warmth from 1953-1957.
机译:数字农业是在20世纪90年代提出的“数字地球”概念的应用,并扩大了“精密农业”概念,强调农业生产程序。数字农业系统是一个数据库,不仅包括与农业相关的各种数据,从土壤条件到市场评估,也有助于在一系列农业生产和营销过程中获得最佳决策。这样的系统是一个重要的农业风险管理工具,可以帮助因气候变化而评估风险,制定生产者的收入保护计划,并产生土壤质量管理计划。本文介绍了一个最初提出给加拿大数字农业系统的结构;国家土地和水信息SEI-副。旧士数据库结构详细描述,包括用于生成最佳决策的数据错误估计方法和指导。在未来的气候变化方案下的作物保险需要战略计划来处理不利的天气事件的改变尾部概率分布,例如干旱,洪水,极端风和极端温度。数字农业系统是保险业使用的有效工具,以发展变化气候的动态业务计划。本文包括加拿大艾伯塔省,加拿大省的气候变化的两个例子,并超过100年。艾伯塔省,六个农业统计司参数被认为是1901 - 2001年期间。对于美国,在1895 - 2008年的两个温暖时期被确定:20世纪30年代“尘碗”干旱和过去二十年的最近温暖。美国农业在“尘碗”时期遭受灾难性的损失。由于有效的保险计划和关键的政府援助,由于干旱和其他灾害的农业损失和背后几十年的天气事件不是灾难性的,但仍然是严重的。根据季节性日期的季节,九个最热的冬季和九个最热的年度九年的每年每日的最热的冬季,在这两个时期都在这两个时期。在1953年至1957年的短暂性温暖期间发生异常。

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