Harnessing Sustainable Agriculture Through Climate-Smart Technologies: Artificial Intelligence for Climate Preservation and Futuristic Trends

Harnessing Sustainable Agriculture Through Climate-Smart Technologies: Artificial Intelligence for Climate Preservation and Futuristic Trends

DOI: 10.4018/979-8-3693-0892-9.ch011
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Abstract

Climate-smart technologies emerge as the nexus where sustainable agriculture and AI converge. These technologies encompass a wide array of solutions that harness AI to make agriculture more resilient in the face of climatic challenges. Through sensor networks, remote sensing, and data analytics, farmers can access real-time weather information, monitor soil conditions, and optimize crop management practices. This chapter meticulously dissects the hurdles posed by data privacy concerns, access to technology, and calls for collaborative efforts among governments, the private sector, and civil society to overcome these challenges and ensure that the benefits of AI-powered agriculture are equitably distributed. This chapter embarks on a profound exploration of the intersection between agriculture, climate change, and cutting-edge artificial intelligence (AI) technologies. It delves into the imperative of sustainable agriculture, the role of AI in climate preservation, and the futuristic trends that promise to reshape our approach to food production in an era of climate uncertainty.
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1. Introduction

The intersection of agriculture, climate change, and technology stands at the forefront of contemporary global challenges. As the world grapples with a burgeoning population and the escalating impacts of climate change, the imperative to revolutionize agricultural practices for sustainability becomes increasingly urgent. This research embarks on an exploration of the profound implications and transformative potential inherent in the convergence of sustainable agriculture and cutting-edge technologies, with a particular emphasis on the role of artificial intelligence (AI) in climate-smart practices. The study's introduction serves as a point of entry into the complex array of problems that face agriculture in the twenty-first century, illuminating the delicate relationship between climate change, food security, and technological advancement (Mehta, 2023).

Due to unpredictable weather patterns, degrading soil, and the growing frequency of catastrophic events, the traditional methods that have supported agriculture for generations are currently experiencing enormous challenges (Gulzar, 2020). A paradigm that aims to reconcile the intrinsically complex link between agriculture and climate by encouraging resilience, flexibility, and environmental stewardship has arisen as a bright spot against this background as the idea of climate-smart agriculture. In technological ascendancy, artificial intelligence emerges as a potent catalyst for ushering in a new era of climate-smart agriculture. The introduction of AI into the agricultural domain represents a paradigm shift, promising to augment traditional farming practices with data-driven insights, predictive analytics, and autonomous systems. This integration holds the potential not only to optimize resource utilization but also to fortify agricultural systems. The introduction of intelligent technologies into agriculture is not merely a technological evolution; it signifies a fundamental reimagining of how it approach food production in a world marked by climatic uncertainties.

This paper contemplates the futuristic trends that are likely to shape the landscape of climate-smart agriculture. From the incorporation of blockchain technology for transparent and traceable supply chains to the advent of AI-enabled agro-robotics, the agricultural sector stands on the cusp of a technological revolution that transcends the boundaries of conventional farming practices. As this peer into the future, the integration of AI is poised to become a linchpin in the quest for sustainable agriculture, a cornerstone that enables not only the preservation of climate but also the creation of resilient, efficient, and environmentally conscious food systems (Uddin, 2022). This paper endeavors to unravel the intricate tapestry woven by sustainable agriculture, climate-smart technologies, and artificial intelligence, offering insights that transcend disciplinary boundaries and pave the way for a future where agriculture not only adapts to climate change but thrives in harmony with the environment.

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