To address the ever-growing food demands, modern commercial agriculture is quickly reacting to leverage solutions dealing with resource efficiency, sustainability, and labor shortages. Commercial agriculture has depended on dangerous chemicals and water, which have also increased the cost of production. To lessen the damage of these practices, the automation of certain processes and the development of precision agricultural technologies have become more important. This work describes AgriBot, an autonomous agricultural robot aimed at increasing productivity in farming through real-time sensing of soil, autonomous irrigation, and precision chemical application. AgriBot uses advanced environmental sensors to encourage data-driven decision-making by allocating resources to extend human labour, while it has an autonomous navigation system to enhance the coordination of field operations and productivity for more sustainable and cost-effective farming, pushing modern farming toward the future. With robotics and advancements in AI and IoT, AgriBot supports opportunities to adapt agriculture and promote productivity and responsible environmental practices. This work focuses on the design and development of an agriculture bot with a particular emphasis on its autonomous functionality driven by real-time soil sensor data.