Abstract
Artificial intelligence (AI) is the algorithms designed to make decisions, often using big real-time data to perform activities that at times go beyond human capabilities. Given the increasing gap in agricultural demand and supply worldwide, further widened by the COVID-19 pandemic (The pandemic has derailed the progress towards Sustainable Development Goals (SDGs) further off the track. The SDG financing gap per annum widened from USD 2.5 trillion to around USD 4.2 trillion), it necessitates innovative and cost-effective approaches to agriculture. AI has begun producing innovative technological solutions and data-driven insights to farming which gives confidence that it can be used to mitigate challenges around sustainable agricultural practices and facilitate getting SDGs back on track. In agriculture, AI has demonstrated immense potential in achieving enhanced productivity and improving the existing supply chains, delivery systems and market value/better pricing in both developed and developing countries for better utilisation of the produce.
Several innovative uses of AI in agriculture have emerged worldwide, promising to advance farm productivity while improving sustainability and livelihoods at the same time. However, many of these experiments/pilots exist in silos. Due to this fragmented approach, a comprehensive understanding of how successful the use of AI has been in agriculture and what shortcomings or challenges were faced in some of these technological implementations has not been well evaluated. This chapter, therefore, assesses the pressing reasons to use innovative and cost-effective digital interventions like AI for SDGs in the agriculture sector. The paper then identifies the challenges in designing a successful AI programme and explores the potential of multi-stakeholder partnerships in this context.
This chapter submitted and contributed by AI Policy Labs, UK.
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Notes
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In the 1950s it was predicted that a severe food shortage might occur in South Asia whereby population growth would exceed the rate of increase in food production, leading to catastrophic consequences.
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Ziesche, S., Agarwal, S., Nagaraju, U., Prestes, E., Singha, N. (2023). Role of Artificial Intelligence in Advancing Sustainable Development Goals in the Agriculture Sector. In: Mazzi, F., Floridi, L. (eds) The Ethics of Artificial Intelligence for the Sustainable Development Goals . Philosophical Studies Series, vol 152. Springer, Cham. https://doi.org/10.1007/978-3-031-21147-8_21
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