Heena T. Shaikh,
Kazi Kutubuddin Sayyad Liyakat*,
- Assistant Professor, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
- Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
Abstract
The integration of Internet of Things (IoT) technology with drone systems has revolutionized precision agriculture, offering innovative solutions to address the inefficiencies and environmental concerns linked to conventional pesticide application. This study explores the design, implementation, and impact of IoT-operated drones tailored for automated pesticide spraying. By leveraging real-time sensor data, AI-driven analytics, and cloud-based connectivity, these drones enable dynamic, data-informed decisions to optimize chemical application. Results indicate that IoT-enabled drones reduce pesticide usage by up to 30% compared to traditional methods, while improving crop productivity and minimizing ecological footprints. Challenges such as regulatory hurdles, data privacy concerns, and the high initial cost of deployment are discussed, alongside strategies to overcome them. The paper concludes that IoT-operated drones represent a transformative step toward sustainable and efficient agricultural practices, provided stakeholders address technical, economic, and ethical barriers collaboratively. the framework for IoT-operated drones in pesticide management has the potential to revolutionize the way we approach crop protection, offering a more efficient, sustainable, and environmentally friendly solution. As this technology continues to advance, we can expect to see significant improvements in crop yields, reduced environmental impact, and a more food-secure future for generations to come.
Keywords: IoT-Operated Drones, unmanned aerial vehicles, multispectral cameras, Internet of Things (IoT), algorithms
[This article belongs to International Journal on Drones ]
Heena T. Shaikh, Kazi Kutubuddin Sayyad Liyakat*. The Future of Farming with IoT-Operated Drones. International Journal on Drones. 2026; 02(01):20-26.
Heena T. Shaikh, Kazi Kutubuddin Sayyad Liyakat*. The Future of Farming with IoT-Operated Drones. International Journal on Drones. 2026; 02(01):20-26. Available from: https://journals.stmjournals.com/ijd/article=2026/view=239864
References
- S, R. Chinnaiyan and C. Kalaiarasan, “IoT Based Connected Agro Plant Using Drones and Block Chain,” 2022 7th International Conference on Robotics and Automation Engineering (ICRAE), Singapore, 2022, pp. 426-430, doi: 10.1109/ICRAE56463.2022.10056171.
- Bencini, F. Chiti, G. Collodi, D. Di Palma, R. Fantacci, A. Manes, G. Manes. “Agricultural Monitoring Based on Wireless Sensor Network Technology: Real Long-Life Deployments for Physiology and Pathogens Control,” Sensor Technologies and Applications. SENSORCOMM ’09. Third International Conference on, 2009.
- R. Chinnaiyan, M.S. Nidhya ( 2018 ), “Reliability Evaluation of Wireless Sensor Networks using EERN Algorithm ”, Lecture Notes on Data Engineering and Communications Technologies, Springer International conference on Computer Networks and Inventive Communication Technologies (ICCNCT – 2018), August 2018 (Online).
- R. Chinnaiyan, S. Balachandar ( 2018 ), “Centralized Reliability and Security Management of Data in Internet of Things (IoT) with Rule Builder ”, Lecture Notes on Data Engineering and Communications Technologies, Springer International conference on Computer Networks and Inventive Communication Technologies (ICCNCT – 2018), August 2018 (Online).
- R and Dr. R. Chinnaiyan, “Reliable Constrained Application Protocol to Sense and Avoid attacks in WSN for IoT Devices,” 2019 International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2019, pp. 1898–1901.
- R. Chinnaiyan, S. Balachandar ( 2018 ), “Centralized Reliability and Security Management of Data in Internet of Things (IoT) with Rule Builder ”, Lecture Notes on Data Engineering and Communications Technologies, Springer International conference on Computer Networks and Inventive Communication Technologies (ICCNCT – 2018), August 2018 (Online).
- S. Nirmala, R. Chinnaiyan ( 2021 ). Blockchain based Secured Framework for Road Traffic Management using Fog Computing. International Journal of Computational Intelligence in Control 13 ( 2 ).
- Sabarmathi and Dr. R. Chinnaiyan, “Big Data Analytics Framework for Opinion Mining of Patient Health Care Experience ” International Conference on Computing Methodologies and Communication (ICCMC 2020), IEEE Xplore Digital Library.
- Hari Pranav A ; M. Senthilmurugan ; Pradyumna Rahul K ; R. Chinnaiyan, “IoT and Machine Learning based Peer to Peer Platform for Crop Growth and Disease Monitoring System using Blockchain,” 2021 International Conference on Computer Communication and Informatics (ICCCI), 2021, pp. 1–5, doi: 10.1109/ICCCI50826.2021.9402435.
- A. Tamboli, V. A. Sawant, M. H. M. and S. Sathe, (2024). AI-Driven-IoT(AIIoT) Based Decision-Making- KSK Approach in Drones for Climate Change Study, 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS), Gobichettipalayam, India, 2024, pp. 1735-1744, doi: 10.1109/ICUIS64676.2024.10866450.
- (2025). AI-Driven-IoT (AIIoT)-Based Decision Making in Drones for Climate Change: KSK Approach. In S. Aouadni& I. Aouadni (Eds.), Recent Theories and Applications for Multi-Criteria Decision-Making (pp. 311-340). IGI Global. https://doi.org/10.4018/979-8-3693-6502-1.ch011
| Volume | 02 |
| Issue | 01 |
| Received | 29/01/2026 |
| Accepted | 09/03/2026 |
| Published | 18/03/2026 |
| Publication Time | 48 Days |
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