Smart Fertilizer Dispensing Robot Using Nutrient Map Data Fusion
S.V.Thamaraiselvan 1, S.Srikanth 2, S.Poovitha 3, R.Karthick 4 and Dr.D.R.P.Rajarathnam 5
1UG Student, Department of Mechatronics, Paavai Engineering College, Namakkal, India.
2UG Student, Department of Mechatronics, Paavai Engineering College, Namakkal, India.
3 Student, Department of Mechatronics, Paavai Engineering College, Namakkal, India.
4Assistant Professor, Department of Mechatronics Engineering, Paavai Engineering College, Namakkal, India.
5 Professor and Head, Department of Mechatronics Engineering, Paavai Engineering College, Namakkal,India.
E-Mail: thamaraiselvansivakumar@gmail.com
ABSTRACT
In modern precision agriculture, automation plays a vital role in optimizing resource utilization and enhancing crop productivity. This paper presents an autonomous nutrient monitoring and dispensing bot designed to assess soil health and regulate fertilizer application based on real-time data. The system continuously measures soil moisture, humidity, and NPK (Nitrogen, Phosphorus, and Potassium) concentrations, with data transmitted to a central controller for analysis through IoT-enabled modules. Water levels within the unit are automatically adjusted to ensure accurate nutrient detection. Once the operator sets the location, the bot autonomously navigates across the field to evaluate nutrient levels at different plant zones and applies fertilizers precisely where required. In addition, the bot can be operated and monitored remotely from anywhere in the world, ensuring seamless supervision and control. The proposed system addresses a critical gap in conventional farming practices, where uniform fertilizer application often leads to resource wastage, soil degradation, and reduced efficiency. By providing site-specific nutrient delivery, the bot minimizes manual intervention, enhances precision in nutrient management, and supports sustainable agriculture. Key advantages include reduced fertilizer wastage, improved soil fertility, enhanced crop yield, and the ability to remotely manage agricultural resources with minimal labor requirements.
Keywords: precision, nutrients, autonomous, IoT, supervision, sustainable.
