AI-driven decision-making and optimization in modern agriculture sectors · CHRIST (Deemed To Be University) Institutional Repository

Title: AI-driven decision-making and optimization in modern agriculture sectors
Description: Using Traditional Design Methods to Enhance AI-Driven Decision Making pp.269-288
Creator: Jebadurai D.J.; Sheela M.V.V.; Rajeshkumar L.; Soundarya M.; Meena R.; Manickam T.; Hudson A.V.G.; Dheenadhayalan K.; Manikandan M.
Source: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185242118&doi=10.4018%2f979-8-3693-0639-0.ch012&partnerID=40&md5=cea705a9e38d8806255f3ad89b2d5e8b
Date: 2024-01-01

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Citation

Jebadurai D.J.; Sheela M.V.V.; Rajeshkumar L.; Soundarya M.; Meena R.; Manickam T.; Hudson A.V.G.; Dheenadhayalan K.; Manikandan M., “AI-driven decision-making and optimization in modern agriculture sectors,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/8240.

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