Open Access

Vishal Patil,

Vanita Patil,

Vijay Ghute,

Pruthviraj Barwal,

Neha Pati,
- Student, Department of E&TC, SKNCOE, SPPU, Pune, ,
- Assistant Professor, Department of E&TC, SKNCOE, SPPU, Pune, ,
- Student, Department of E&TC, SKNCOE, SPPU, Pune, ,
- Student, Department of E&TC, SKNCOE, SPPU, Pune, ,
- Student, Department of E&TC, SKNCOE, SPPU, Pune, ,
Abstract document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_113534’);});Edit Abstract & Keyword
Conventional agricultural practices frequently involve a significant amount of manual labor and are prone to inefficiencies and resource waste.The relevance of incorporating robotics and mobile technology into agriculture lies in addressing several critical challenges faced by the industry. The implementation of IoT technology in smart farming systems. It covers various IoT applications in agriculture, such as environmental monitoring, automated irrigation, and precision farming, highlighting the benefits and challenges of IoT adoption in agriculture, Environmental Monitoring like IoT sensors can continuously monitor environmental conditions such as soil moisture, temperature, humidity, and light intensity. Strong agricultural equipment with outstanding soil-clearing qualities that provides a flexible method for planting, plowing, and watering crops with the least amount of labor. Developing a multipurpose farming robot that automates tasks like planting, watering, weeding, and monitoring soil conditions, all controlled via a smartphone using the Blynk app. The robot increases farming efficiency by performing repetitive tasks, reduces manual labor, and provides real-time data for better decision-making This innovative tool leverages Raspberry Pi to automate every phase of farming, including ploughing, water pumping, seed sowing, and harvesting. The vehicle can be operated using the Blynk application, ensuring ease of use and remote control. Motors are incorporated into the entire processing, monitoring, and computing system to improve operating efficiency. This robotic solution empowers farmers to implement more effective farming techniques. By harnessing the power of automation and remote connectivity, farmers can optimize resource utilization, minimize manual intervention, and improve overall crop yield and quality.
Keywords: Sensors, Raspberry Pi, Blynk application, Multipurpose, Plough, Robotic, IoT.
[This article belongs to Research & Reviews : Journal of Agricultural Science and Technology (rrjoast)]
Vishal Patil, Vanita Patil, Vijay Ghute, Pruthviraj Barwal, Neha Pati. Multipurpose Farming Robot Control. Research & Reviews : Journal of Agricultural Science and Technology. 2024; 13(02):19-25.
Vishal Patil, Vanita Patil, Vijay Ghute, Pruthviraj Barwal, Neha Pati. Multipurpose Farming Robot Control. Research & Reviews : Journal of Agricultural Science and Technology. 2024; 13(02):19-25. Available from: https://journals.stmjournals.com/rrjoast/article=2024/view=0
References
document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_ref_113534’);});Edit
- AgriSys: A Smart and Ubiquitous Controlled Environment Agriculture System Authors: Aalaa Abdullah, Shahad Al Enazi and Issam Damaj.
- Rajalakshmi, Mrs. S Devi Mahalakshmi IOT Based Crop-Field Monitoring and Irrigation Automation “the international conference on Intelligent systems and control (ISCO), 7-8 Jan 2016 published in IEEE Xplore 2016.
- Tanmay Baranwal, Nitika, Pushpendra Kumar ateriya “Development of IoT based mart security and monitoring services for Agriculture” 6th International Conference – Cloud System and Big Data Engineering, 978-14673-8203-8/16, 2016 IEEE.
- Nelson Sales, Artur Arsenio, “wireless sensorand Actuator System for Smart Irrigation on the Cloud” 97 -1-5090-0366-2/15,2nd World forum on Internet of Things (WF-IoT) Dec 2015, published in IEEE Xplore Jan 2016.
- Design and Implementation of a Connected Farm for Smart Farming System Authors: Minwoo Ryu, Jaeseok Yun, Ting Miao, Il-Yeup Ahn, SungChan Choi, Jaeho Kim.
- Smart Design of Microcontroller Based Monitoring System for Agriculture Authors: Nilesh R. Patel, Pratik G. Choudhary Pawan D. Kale, Nikesh R. Patel, Gau Ravikumar N. Raut, Asif Bherani.
- Providing Smart Agricultural Solutions to Farmers for better yielding using IoT Authors: M.K. Gayatri, J. Jaya Sakthi, Dr. G.S. Ananda Mala
- Aditi D. Kokate, Prof. Priyanka D.Yadav, Multipurpose Agricultural Robot, International Advanced Research Journal in Science, Engineering and Technology National Conference on Emerging trends in Electronics & Telecommunication Engineering (NCETETE 2017), ISSN (Online) 2393-8021 ISSN (Print) 2394- 1588.
- Parameshachari B D et. Al Optimized Neighbor Discovery in Internet of Things (IoT), 2017 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT), PP 594-598, 978-1-5386- 2361-9/17/$31.00 ©2017 IEEE.
- A. Chand et al., “Design and analysis of photovoltaic powered battery-operated computer vision-based multi-purpose smart farming robot”, vol. 11, no. 3, pp. 530, 2021.
- Rajkumar, M.N.; Abinaya, S.; Kumar, V.V. Intelligent irrigation system—An IOT based approach. In Proceedings of the 2017 International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT), Coimbatore, India, 16–18 March 2017; pp. 1–5.
- Flores, K.O.; Butaslac, I.M.; Gonzales, J.E.M.; Dumlao, S.M.G.; Reyes, R.S.J. Precision agriculture monitoring system using wireless sensor network and Raspberry Pi local server. In Proceedings of the 2016 IEEE Region 10 Conference (TENCON), Singapore, 22–25 November 2016; pp. 3018–3021
| Volume | 13 |
| Issue | 02 |
| Received | 14/08/2024 |
| Accepted | 31/10/2024 |
| Published | 31/10/2024 |

