Agriculture is the backbone of the economy of the majority of developing and third-world countries, including India, with a sizable portion of the population directly dependent on farming for a living. Climate is one of the factors that affects crop production the most, influencing everything from crop growth and development to crop yield. Climate has an impact on agricultural pest and disease outbreaks as well as crop water uptake. It is anticipated that potential variations in meteorological variables including precipitation, temperature, and CO2 concentration will have a significant impact on the agricultural growth process. In order to plan a coordinated agricultural production activity in response to changes in the climatic circumstances, farmers may find it advantageous to predict crop yield variations in the context of changing climatic conditions. This results in the implementation of appropriate policy reforms that benefit both the farming community and the country as a whole. This book chapter provides a summary of all statistical models and approaches that can be used to predict agricultural commodities in the face of shifting climate circumstances. A summary of recent advancements in the same field is also included.

Author(s) Details:

Rahul Banerjee,
Division of Sample Surveys, ICAR-IASRI, New Delhi-110012, India.

Pankaj Das,
Division of Sample Surveys, ICAR-IASRI, New Delhi-110012, India.

Bharti,
Division of Sample Surveys, ICAR-IASRI, New Delhi-110012, India.

Bulbul Ahmed,
GD Goenka University, Sohna, Gurugram, Haryana-122103, India.

Please see the link here: https://stm.bookpi.org/CAGEES-V6/article/view/8267

Keywords: Climate change, weather parameters, food security, agricultural commodity forecast, statistical models, recent developments

Spread the love

Leave A Comment

Recent Comments

No comments to show.

Categories