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Agriculture today faces challenges related to land underutilization, lack of transparent funding, limited access to technological guidance, and inefficient decision-making. To address these issues, this research proposes BGrow, an AI-IoT enabled multi-stakeholder digital platform designed to connect farmers, landowners, and investors within a single ecosystem. The platform integrates web-based matchmaking, AI-driven analytics, digital profiles, project funding workflows, and simulated IoT crop monitoring dashboards. Unlike existing systems focused on either land management or crop monitoring alone, BGrow provides end-to-end collaboration, including land listing, project proposal evaluation, funding, performance visualization, and data-driven advisory insights. Simulated IoT parameters such as soil moisture, temperature, and crop health index are used to demonstrate the feasibility of real-time monitoring and decision support. The prototype implementation validates the platform’s ability to enhance transparency, improve resource utilization, and enable investment-led smart agriculture, paving the way for scalable digital transformation and sustainable rural development