AI-Based Forecasting and Decision Support System for Plantation Crops
Date
2025
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Rubicon Publications, London, UK
Abstract
This 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.
Description
Recent 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.
Keywords
Artificial Intelligence, Decision Support System, Plantation Crops, Machine Learning, Smart Agriculture, Predictive Analytics, Climate Resilience