REMOTE CONTROLLED MULTI - PURPOSE AGRICULTURE MACHINE
Abstract
The Remote-Controlled Multipurpose Agricultural Machine is a semi-automated robotic system developed to assist small-scale farmers in performing essential agricultural operations such as ploughing, seed sowing, spraying, and grass cutting. The system is designed using an Arduino UNO microcontroller integrated with a Bluetooth communication module to enable remote operation. Mobility is achieved using four DC motors coupled with wheels, allowing bidirectional movement across the field. A motor-driven funnel mechanism is incorporated for uniform seed sowing, while a ploughing attachment is mechanically adjustable using a screw-based arrangement to ensure proper soil penetration. A relay module is employed to control auxiliary devices such as spraying and irrigation mechanisms. The entire system is powered by a 12V rechargeable battery, ensuring portability and field usability. Experimental validation demonstrated that the machine effectively performs multiple farming tasks with reduced manual effort and operational cost. Compared to conventional farming practices, the proposed system offers improved efficiency, reduced labor dependency, and cost-effectiveness. The use of simple mechanical components and locally available materials further contributes to its low fabrication cost, making it a practical solution for small and marginal farmers.
References
. Nikesh Gondchawar, Dr. R.S.Kawitkar “IoT Based Smart Agriculture”, International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), Vol.5, Issue 6, June 2016.
. José O Payero, Ali Mirzakhani-Nafchi, Ahmad Khalilian, Xin Qiao, and Rebecca Davis 2017. Development of a Low-Cost Internet-of-Things (IoT) System for Monitoring Soil Water Potential Using Watermark 200SS Sensors. Advances in Internet of Things 7, 03 (2017), 71.
. M.K.Gayatri, J.Jayasakthi, Dr.G.S.Anandhamala, “Providing Smart Agriculture Solutions to Farmers for Better Yielding Using IoT”, IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development (TIAR 2015).
. Chetan Dwarkani M, Ganesh Ram R, Jagannathan S, R. Priyatharshini, “Smart Farming System Using Sensors for Agricultural Task Automation”, IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development (TIAR 2015).
. Janicleide T Silva, Josiane T Silva, and Gustavo F Lima. 2015. Controle e Monitoramento de Nível Utilizando Plataforma Open Source Arduino. Revista INNOVER---ISSN: 2448-4105 1, 4 (2015), 85--92. [6]. James Brinkhoff, John Hornbuckle, and Thomas Dowling. 2017. Multisensor Capacitance Probes for Simultaneously Monitoring Rice Field Soil-WaterCrop-Ambient Conditions. Sensors 18, 1 (2017), 53.
. Honorio Navarro-Hellín, Roque Torres-Sánchez, Fulgencio Soto-Valles, Cristina Albaladejo-Pérez, Juan Antonio López-Riquelme, and Rafael DomingoMiguel 2015. A wireless sensors architecture for efficient irrigation water management. Agricultural Water Management 151 (2015), 64-74.
Refbacks
- There are currently no refbacks.