Abstract

Rapid growth of population, diminishing natural resources, climate change, shrinking agricultural lands and unstable markets are making the global food systems rather insecure. Therefore, modern agriculture and food systems should be more productive in terms of output, efficient in operation, resilient to climate change and sustainable for the future generations. As a result, the need of a technological transformation is greater than ever before. Being a recent advancement in computer sciences, Artificial Intelligence (AI) has the capacity to address the challenges of this new paradigm. Hence, understanding the importance and applicability of AI in agriculture and food sector could be vital in the journey towards achieving global food security. This review focuses on the AI applications in relation to four pillars of food security (food availability, food accessibility, food utilization and stability) as defined by FAO, in detail. The AI technologies are being applied worldwide in all four pillars of food security even though it has been one of the slower adopted technologies compared to the rest. Nevertheless, it warrants exploring the capabilities of AI and their current impact on the food systems. It is eminent that AI technology has a key role to play in the future agriculture sector. The worldwide AI in agriculture market is expected to reach USD 2,075 million by 2024. Present article reveals how AI technologies could benefit global agriculture and food sector, and examines the ways by which AI can address the prominent issues in Sri Lankan agriculture sector such as labor scarcity, misuse of agrochemicals and inefficient food value chains. Though there are still many challenges and gaps to be addressed at research, policy, administrative and farmer levels, the immense potential of this novel technology should be exploited fast in the journey towards global food security.

Highlights

  • Achieving the goal of ending global hunger, aligning with the United National Sustainable Development Goals (SDG) – 2, often means providing food for the people in need (Jorgensen and Costanza, 2016)

  • This review focuses on the Artificial Intelligence (AI) applications in relation to four pillars of food security as defined by FAO, in detail

  • The first necessary dimension in order to achieve food security is availability, which indicates the presence of food in a country through all forms of domestic production, food stocks, imports and food aid (Riely et al, 1999)

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Summary

Review Paper

Role of artificial intelligence in achieving global food security: a promising technology for future. R.M.S.R. Chamara1*, S.M.P. Senevirathne, S.A.I.L.N. Samarasinghe, M.W.R.C. Premasiri, K.H.C. Sandaruwani, D.M.N.N. Dissanayake, S.H.N.P. De. Silva, W.M.T.P. Ariyaratne and B. Article History: Received: 11 December 2020 Revised form received: December 2020 Accepted: December 2020

Introduction
Artificial intelligence in achieving food security
Synthesis and way forward
Disease management Disease management
ANN ANN
Highly energy efficient
Climatic prediction
Infestation in Fruits and Vegetables under
Model Milk Productivity and Quality based on Cow
Countries to Offer Significant Growth
Findings
Association and the European Society for Fuzzy
Full Text
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