Supply Chain Optimization: AI in Agriculture Distribution

J. W. Haobijam () and Devina Seram
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J. W. Haobijam: Lovely Professional University
Devina Seram: Lovely Professional University

Chapter Chapter 7 in Transforming Agriculture through Artificial Intelligence for Sustainable Food Systems, 2025, pp 109-127 from Springer

Abstract: Abstract The agricultural supply chain is intricate, evolving, and laden with inefficiencies. Artificial intelligence (AI) provides a revolutionary solution, facilitating data-driven decision-making and enhancing distribution networks. This chapter examines the utilization of AI in agricultural distribution, highlighting its capacity to improve crop yield forecasting, anticipate demand, optimize logistics, and minimize wastes. Empirical examples and case studies demonstrate the advantages of AI-driven supply chain optimization, encompassing enhanced resource allocation, diminished costs, and augmented sustainability. Utilizing AI, agricultural stakeholders can establish more robust, adaptive, and accountable supply chains, thereby enhancing global food security.

Keywords: Supply chain; Economic growth; Profitability; Cost-reduction (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_7

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DOI: 10.1007/978-981-96-4795-8_7

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