India’s Vision 2047 emphasizes the transition toward a self-reliant, sustainable, and climate-resilient agro economy driven by renewable energy and technological innovation. However, conventional approaches to agriculture and solar energy deployment often operate in isolation, limiting their potential to enhance farmer income and rural livelihoods. This chapter proposes the DHARTEEPUTRA model (Dual Harvesting in Agrovoltaics and Renewables Through Eco-Efficient Powering for Transformative Rural Advancement), an integrated agrivoltaics-based framework that combines solar energy generation, agriculture, post-harvest management, decentralized rural enterprises, and bioenergy systems within a single land parcel. The model promotes the productive use of energy by linking solar generation directly with irrigation, processing, and value-added activities, thereby enabling multiple income streams and improving economic resilience. A key advancement presented in this chapter is the integration of Artificial Intelligence (AI) and Internet of Things (IoT) technologies into the DHARTEEPUTRA framework. IoT-enabled sensors facilitate real-time data collection on soil, water, crop conditions, and energy systems, while AI-driven analytics support decision-making related to irrigation, crop planning, energy optimization, and market linkage. This integration transforms the model into a smart, data-driven rural production system. The chapter demonstrates that such integrated systems can significantly enhance land-use efficiency, reduce post-harvest losses, improve market access, and strengthen climate resilience. In addition to economic benefits, the model contributes to environmental sustainability through reduced fossil fuel dependence and supports social inclusion by generating employment and enabling participation of women and rural enterprises. The study concludes that AI-enabled agrivoltaics models such as DHARTEEPUTRA offer a scalable pathway for building a green energy economy and transforming rural livelihoods in India.