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April 21, 2026Discover SustainabilityOpen Access

Artificial intelligence driven sustainability in tomato supply chains optimization a systematic review

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Authors

SWShivali Amit WagleKKKunal KulkarniSASreelekha Arun

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Overview

Systematic review highlights AI applications improving sustainability in tomato supply chains, indicating significant benefits.

Key Points

  • The central aim is to explore how artificial intelligence optimizes sustainability in tomato supply chains.
  • Conducted a systematic review of 116 studies on AI and machine learning applications in agricultural supply chains.
  • Utilized qualitative thematic evaluation and quantitative bibliometric analysis based on data from multiple databases.
  • Focused on key stages of the tomato supply chain, including smart farming and logistics.
  • AI and machine learning enhance operational efficiency in areas like post-harvest quality assessment and market forecasting.
  • Applications lead to reduced food waste and improved resource efficiency.
  • Insights reveal significant contributions to farmer livelihoods and sustainability efforts in agricultural practices.

Cite This Study

Wagle et al. (2026) studied this question.

synapsesocial.com/papers/69e713fdcb99343efc98d70bhttps://doi.org/10.1007/s43621-026-03174-0
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