What question did this study set out to answer?

The goal is to develop a digital twin framework that enhances climate resilience in precision agriculture.

March 23, 2026Open Access

AI-Driven Digital Twins for Climate-Resilient Precision Agriculture

Key Points

The goal is to develop a digital twin framework that enhances climate resilience in precision agriculture.
Integration of IoT and AI technologies
Utilization of real-time data analytics
Simulation of environmental scenarios
Predictive analysis for crop health and irrigation
Optimization of resource utilization
Improved agricultural productivity
Reduced resource wastage
Enhanced decision-making capabilities
Increased resilience against climate variability

Abstract

This research presents an AI-driven Digital Twin framework for climate-resilient precision agriculture. The proposed system integrates Internet of Things (IoT), Artificial Intelligence (AI), and real-time data analytics to monitor crop conditions, simulate environmental scenarios, and optimize resource utilization. The digital twin model enables predictive analysis for irrigation, crop health, and climate adaptation strategies. The system improves agricultural productivity, reduces resource wastage, and supports sustainable farming. The results demonstrate enhanced decision-making and resilience against climate variability.

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Cite This Study

Bhuvad et al. (Sat,) studied this question.

synapsesocial.com/papers/69c0e029fddb9876e79c1b48 https://doi.org/https://doi.org/10.5281/zenodo.19150106

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