The abstract presents a new approach to rice plantations through the integration of AI and IoT technologies. Rice cultivation traditionally involves manual labor, drum seeders and transplanters. This paper proposes a new methodology that combines elements of drum seeders and suction machines while incorporating advanced technologies. Designed with AI and IoT capabilities, the proposed machine facilitates controlled distribution of pre-germinated paddy seeds to fields. The machine offers adjustable settings for seed spacing and row alignment, giving farmers flexibility in crop management. In addition, this multifunctional machine presents other advantages. It can be used for precise weedicide application, reducing the need for chemical inputs. In addition, the machine’s potential as an artificial pollinator in hybrid rice paddy cultivation offers a revolutionary solution to replace laborious manual pollination processes. The integration of artificial intelligence and Internet of Things technologies contributes to increased productivity and cost efficiency. The machine’s capabilities go beyond planting and pollination. It serves as an autonomous platform for early detection of crop diseases and identification of pest-related threats. By analyzing previously collected samples, the machine helps farmers proactively address potential problems. In short, this innovative autonomous rice growing machine has the potential to revolutionize traditional farming practices, offering increased efficiency, resource management and disease control in rice cultivation.