AI-Based Forecasting and Decision Support System for Plantation Crops

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dc.contributor.authorNitish Kumar, Sanket Kumar
dc.date.accessioned2026-02-25T08:57:02Z
dc.date.issued2025
dc.descriptionRecent Advances in Sustainable and Smart Agriculture: Innovation for Future Farming Shiv Kumar Ahirwar; Dr. Suresha K. B.; Swapnil R. Holkar; Omkar Uttam Sadakal; Heena M. S.
dc.description.abstractThis chapter discusses the application of Artificial Intelligence (AI) and decision support systems in plantation crop management. It highlights the integration of machine learning models, predictive analytics, climate data analysis, and digital advisory tools to enhance forecasting accuracy, improve crop productivity, optimize resource use, and support climate-resilient plantation systems. The chapter emphasizes smart agriculture approaches for sustainable plantation crop development.
dc.identifier.isbn978-1-80433-889-6
dc.identifier.urihttp://136.232.12.194:4000/handle/123456789/1689
dc.language.isoen_US
dc.publisherRubicon Publications, London, UK
dc.subjectArtificial Intelligence
dc.subjectDecision Support System
dc.subjectPlantation Crops
dc.subjectMachine Learning
dc.subjectSmart Agriculture
dc.subjectPredictive Analytics
dc.subjectClimate Resilience
dc.titleAI-Based Forecasting and Decision Support System for Plantation Crops
dc.typeBook chapter

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