Application of Machine Learning in Agricultural Meteorology

Application of Machine Learning in Agricultural Meteorology

24th February-3rd March 2024, Hyderabad

ICAR-Central Research Institute for Dryland Agriculture, Hyderabad, organised the VIII capacity building program of All India Coordinated Research Project on Agrometeorology on ‘Application of machine learning in agricultural meteorology’ from 24th February-3rd March 2024.

Application of Machine Learning in Agricultural Meteorology  Application of Machine Learning in Agricultural Meteorology

Dr. Vinod Kumar Singh, Director, ICAR-CRIDA, emphasised that mastery of AI and ML techniques and their applications in agriculture are the need of the hour and lauded AICRPAM coordinating unit in its sustained efforts to impart capacity building to its scientists every year.

Nine experts from ICAR, SAUs, North Eastern Hill University, and CWRDM provided theoretical and practical sessions on machine learning through the R program, covering topics such as climate change studies, spatiotemporal time series modeling, and ARCH family of models, factor analysis, canonical correlation, and multi-location experiment data analysis.

More than 32 participants from the cooperating centers of AICRPAM attended the programme.

(Source: Central Research Institute for Dryland Agriculture, Hyderabad)

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