Climate-Resilient Agriculture Through Artificial Intelligence

Kamlesh Kumar Acharya (), Minam Gamoh, Ishita Mandla and Sheela Kharkwal
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Kamlesh Kumar Acharya: ICAR-National Institute of Agricultural Economics and Policy Research
Minam Gamoh: ICAR-National Institute of Agricultural Economics and Policy Research
Ishita Mandla: ICAR-National Institute of Agricultural Economics and Policy Research
Sheela Kharkwal: Sri Karan Narendra Agriculture University

Chapter Chapter 6 in Transforming Agriculture through Artificial Intelligence for Sustainable Food Systems, 2025, pp 95-108 from Springer

Abstract: Abstract Artificial Intelligence (AI) has the potential to be a game-changer for farmers facing the increasing challenges of climate change. AI models can predict and mitigate the widespread impacts of climate change on agriculture, providing farmers with advanced tools to make informed decisions. As environmental challenges become more severe, the integration of AI is emerging as a transformative force for climate-resilient agriculture. In this context, the chapter discussed how AI can equip farmers with adaptive decision-making capabilities, offering insights crucial for managing the complexities of climate variability. The synergistic collaboration between AI and climate science and its benefits in identifying climate-related risks, such as extreme weather events, changing precipitation patterns, and new pest threats. It also highlights the impact of AI on rural and smallholder farmers, who need to take proactive measures, optimize crop selection, allocate resources, and manage irrigation to enhance overall resilience. It critically examines the potential advantages and challenges of the widespread adoption of AI across various agricultural landscapes. This chapter serves as a valuable resource for researchers, policymakers, and practitioners looking to promote AI in agriculture and simultaneously address sustainable and resilient agricultural practices for the benefit of future generations.

Keywords: Artificial Intelligence; Climate change; Climate-resilient agriculture; Decision-making (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-96-4795-8_6

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DOI: 10.1007/978-981-96-4795-8_6

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