为印度农民提供数字化气候信息服务的决策支持系统

Q3 Agricultural and Biological Sciences
K. K. K. Singh, Kripan Ghosh, S. C. Bhan, Priyanka Singh, Lata Vishnoi, R. Balasubramanian, S. Attri, S. Goroshi, R. Singh
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引用次数: 0

摘要

印度气象部门(IMD)、地球科学部(MoES)与印度农业研究委员会(ICAR)、国立农业大学(SAUs)合作,印度理工学院(IITs)和其他组织正在中央资助的MOES“大气与气候研究-模拟观测系统与服务(ACROSS)”计划下,为该国农民的利益提供基于天气预报的地区级农业气象咨询服务(AAS)。AAS,俗称Gramin Krishi Mausam Sewa (GKMS),利用最先进的仪器和技术,通过有效的信息传递机制,向农业社区提供先进的天气信息以及特定作物的农业咨询,最终使农民能够在农场层面采取适当的行动。GKMS的各个组成部分,即观测天气、监测天气和预报天气;特定作物咨询公报的制作和传播;外联和反馈已经/正在数字化,以支持整合信息产生的所有组成部分和与这些信息有关的建议行动。政府开发了一套以资讯及通讯科技为基础的农业农业决策支援系统,以实现农业农业管理系统所提供服务的自动化。这包括一个动态框架,将天气预报、实时天气观测、作物天气日历等信息联系起来,将天气预报转化为可操作的农场咨询,以促进印度农场层面的有效决策。除此之外,人们正在努力开发最新的技术驱动工具,以估计作物的未来产量,并在不需要多个参数的情况下制定灌溉计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decision support system for digitally climate informed services to farmers in India
India Meteorological Department (IMD), Ministry of Earth Sciences (MoES) in collaboration with Indian Council of Agriculture Research (ICAR), State Agriculture Universities (SAUs) , Indian Institute of Technology (IITs) and other organizations is rendering weather forecast based District level Agrometeorological Advisory Service (AAS) for benefits of farmers in the country under the centrally sponsored scheme ‘Atmosphere & Climate Research-Modelling Observing Systems & Services (ACROSS) ’ of MOES. AAS, popularly known as Gramin Krishi Mausam Sewa (GKMS) provides advance weather information along, with crop specific agromet advisories to the farming community by using state of the art instruments and technology through efficient delivering mechanism of the information which ultimately enables farmers to take appropriate actions at farm level. The various components of GKMS viz. observing weather, its monitoring and forecast; crop specific advisory bulletin generation and dissemination; outreach and feedback have been/are being digitized to support integrating all the components of information generation and action suggested linked to these information. An Information and Communication Technology (ICT) based Agromet Decision Support System is developed for automation of the services provided under GKMS. This includes a dynamic framework to link the information of weather forecast, real time weather observation, crop-weather calendar etc. to translate weather forecast into actionable farm advisories for efficient farm level decision making in India. Apart from this, effort is being made to develop recent technology driven tools to estimate future yield of crops and prepare an irrigation schedule without a need of multiple parameters.
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来源期刊
Journal of Agrometeorology
Journal of Agrometeorology 农林科学-农艺学
CiteScore
1.40
自引率
0.00%
发文量
95
审稿时长
>12 weeks
期刊介绍: The Journal of Agrometeorology (ISSN 0972-1665) , is a quarterly publication of Association of Agrometeorologists appearing in March, June, September and December. Since its beginning in 1999 till 2016, it was a half yearly publication appearing in June and December. In addition to regular issues, Association also brings out the special issues of the journal covering selected papers presented in seminar symposia organized by the Association.
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