Low-cost smart farming in a shared approach using internet of things and machine learning

Kamlesh Ahuja (Mahakal Institute of Technology)
Deepika Saxena (Poornima University)
Akash Saxena (Compucom Institute of Technology and Management)
Chandni Sikarwar (Mahakal Institute of Technology)
Neeraj Sharma (Mahakal Institute of Technology)

Bulletin of Electrical Engineering and Informatics
Vol 15, No 4: August 2026

In this paper, a concept of shared approach of smart farming system is discussed. The technique utilizes the ability of machine learning (ML) and internet of things (IoT) enabled sensors. Additionally, to implement this approach a layered architecture is also proposed. The layered architecture is providing the steps to achieve this model practically by using a cooperative manner. This technique is providing the smart farming services as plug and play basis. Therefore, the complexities of management and implementation is also considered at the billing and maintenance level. Additionally, a conceptual solution for the particular complexity is also suggested. The model can also motivate the new entrepreneurs to adopt the model and serve for the smart farming as service.