Weather Based Automated Agro Advisories: An Option to Improve Sustainability in Farming Under Climate and Weather Vagaries

  • Ga. DheebakaranEmail author
  • S. Panneerselvam
  • V. Geethalakshmi
  • S. Kokilavani


Agriculture is highly vulnerable to climate change and climate variability. It is very difficult to balance the growing interest on sophistication and climate change mitigation options. Now, we are in the stage of bolstering adaptation process to cope up our production with demand. Automated Agro Advisory Service (AAS) is a response farming tool, which helps the farmers to get timely weather based agro advisories to make necessary decision for the next few days of farm operations. The AAS requires past and forecasted weather data of 6 days from the current date for closer spatial scale, high performance computing server, faster internet service, short messaging service (SMS) and web cum mobile application. Different combinations of temperature, relative humidity, wind speed and rainfall quantity have been numbered as weather scenarios. Weather based agro advisory for multiple crops and different stages of crop growth have been developed with the help of technocrats and incorporated in the database. Farmers have to register their mobile number for advisory to their own crop, specific to crop stage. Every day, weather scenario of each block will be developed separately for past and future weather and the AAS module match the scenario, crop, stage, and advisory and send the selected advisory to the farmers’ mobile as SMS. Farmers can change their crops and sowing date through web portal or mobile app. The AAS simplifies the lab to land with ICT tools and helps the farmers to get rid of weather risk and help them to increase productivity of inputs. The AAS empathises the farmers’ need and acts weather smart.


Weather based automated agro advisories Weather smart technology Climate change Sustainable farming Response farming 



The authors acknowledge the National Agricultural Development Programme (GoI and GoTN) for the funding towards the ‘Development of Automated Agro Advisory Service – Web cum Mobile App’. We also acknowledge the retired agronomists Dr. T.N. Balasubramanian and Dr. R. Jagannathan for their contribution in basic structure development and Dr. N. Maragatham and other TNAU scientists and research fellows who were also involved in “TNAU-AAS” development project.


  1. Ahanger RA, Bhat HA, Bhat TA, Ganie SA, Lone AA, Wani IA, Ganai SA, Haq S, Khan OA, Junaid JM, Bhat TA (2013) Impact of climate change on plant diseases. Int J Mod Plant Anim Sci 1(3):105–115Google Scholar
  2. Chattopadhyay N (2011) Climate change and food security in India. In: Lal R et al (eds) Climate change and food security in South Asia. Springer, Amsterdam, pp 229–250. Scholar
  3. Cline WR (2007) Global warming and agriculture: impact estimates by country. Peterson Institute for International Economics, Washington DC, p 250. ISBN:978-08-813-2403-7Google Scholar
  4. Dheebakaran Ga, Kokilavan S, Panneerselvam S, Jagannathan R (2016) Climate change on shift in rainy days and rainfall quantity over Tamil Nadu. In: Palanivelu K (ed) Proceedings of national conference on “Climate change impacts and natural resource management” Anna University, Chennai, 18–19 February 2016Google Scholar
  5. FAO (2007) World hunger increasing. In: Food and Agriculture Organization (FAO). 30 October 2006. Accessed on 2011-07-07Google Scholar
  6. IPCC (2014) Climate change 2014: synthesis report. contribution of Working Groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change [Core Writing Team, Pachauri RK, Meyer LA (eds)]. IPCC, Geneva, Switzerland, 151 ppGoogle Scholar
  7. IPCC (2013) Summary for policymakers. In: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Climate Change 2013: The physical science basis. Contribution of Working Group I to the fifth assessment report of the Intergovernmental Panel on Climate Change, Cambridge/New York, Cambridge University PressGoogle Scholar
  8. Jagannathan R, Balasubramanian TN, Geethalakshmi V, Maragatham N (2014) Basic record of weather scenario and agro advisories for TNAU’s Automated Agro advisory developmentGoogle Scholar
  9. Porter JR, Xie L, Challinor AJ, Cochrane K et al (2014) Food security and food production systems. In: Field CB, Barros VR, Dokken DJ, Mach KJ, Mastrandrea MD, Bilir TE, Chatterjee M, Ebi KL, Estrada YO, Genova RC, Girma B, Kissel ES, Levy AN, MacCracken S, Mastrandrea PR, White LL (eds) Climate change 2014: impacts, adaptation, and vulnerability. Part A: Global and sectoral aspects. Contribution of Working Group II to the fifth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge/New York, pp 485–533. Available at: Scholar
  10. Sunder S (2018) India economic survey 2018: Farmers gain as agriculture mechanisation speeds up, but more R&D needed in Updated January 29, 2018 Accessed 7 Dec 2017
  11. Venkatramanan V, Shah S (2019) Climate smart agriculture technologies for environmental management: the intersection of sustainability, resilience, wellbeing and development. In: Shah S et al (eds) Sustainable green technologies for environmental management. Springer, Singapore, pp 29–51. Scholar
  12. Venkatramanan V, Singh SD (2009a) Differential effects of day and night temperature on the growth of rice crop. Pusa Agric Sci 32:57–62Google Scholar
  13. Venkatramanan V, Singh SD (2009b) Differential effects of day and night temperature on the growth of wheat crop. Ann Agric Res 30(1&2):49–52Google Scholar

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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Ga. Dheebakaran
    • 1
    Email author
  • S. Panneerselvam
    • 1
  • V. Geethalakshmi
    • 1
  • S. Kokilavani
    • 1
  1. 1.Agro Climate Research CentreTamil Nadu Agricultural UniversityCoimbatoreIndia

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