Amith, G. and Ramesh, . and Avinash, G. and Haroli, Mahesh and Thimmareddy, Hemareddy and Dharani, C. (2022) Agromet Advisory Services for Climate Smart Agriculture. Journal of Experimental Agriculture International, 44 (4). pp. 1-7. ISSN 2457-0591
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Abstract
Climate smart agriculture (CSA) is a strategy for guiding the transformation and reorientation of agricultural production in light of the new realities of climate change. CSA manage the climate risks by adapting and building resilience of agricultural and food security system to climate change at multiple levels. CSA involves dissemination of the advance weather information to the farmers through different state of art information technology (SMS, apps and e-mail) are being taken to control and minimize of loss of crop due to pest and diseases incidences. Increase agricultural productivity and incomes; adapt to and build resilience to climate change; and reduce or eliminate greenhouse gas emissions from agriculture are the three pillars of the CSA. Under the Gramin Krishi Mausam Sewa (GKMS) scheme, the Agrometeorological Advisory Service (AAS) of the India Meteorological Department (IMD), Ministry of Earth Sciences (MoES), collects and organises climate/weather, soil, and crop information and combines it with weather forecast to assist farmers in making management decisions. Gramin Krishi Mausam Sewa (GKMS), District Agro-Met Units (DAMUs), and the IMD Mausam Website are examples of CSA projects. They deliver crop-specific alerts to farmers using meteorological parameters and a variety of print, visual, radio, and IT-based media, including short message service (SMS) and Interactive Voice Response Service (IVRS). This CSA will assist farmers in anticipating the occurrence of pests and illnesses, allowing for the scientific and sensible scheduling of preventative actions.
Item Type: | Article |
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Subjects: | ArticleGate > Agricultural and Food Science |
Depositing User: | Managing Editor |
Date Deposited: | 07 Feb 2023 09:22 |
Last Modified: | 26 Oct 2024 04:21 |
URI: | http://ebooks.pubstmlibrary.com/id/eprint/1730 |