Integrating Multipurpose Payloads for Agricultural Advancement
Precision farming is revolutionizing agriculture by integrating advanced technologies to improve crop yield and resource management. One of the most impactful innovations in this field is the use of drones, which provide a fast and efficient way to monitor crop health and detect diseases early. Unlike traditional methods that rely on manual field checks, drones offer a comprehensive view of large agricultural areas through high-resolution cameras and specialized sensors. One of the key advantages of drones in agriculture is their ability to cover extensive fields rapidly while providing frequent, detailed updates on crop conditions. This allows farmers to act proactively, applying treatments in a targeted and precise manner, thus reducing the need for widespread chemical applications and minimizing environmental damage Drones also promote sustainability in farming by optimizing the use of inputs such as water, fertilizers, and pesticides. Multipurpose aerial drones featuring attachable and detachable payloads enhance agricultural sustainability by not only optimizing resource usage but also improving operational efficiency. By allowing farmers to switch payloads based on specific tasks, these drones can reduce their overall weight, which directly contributes to extended flight duration and better battery life. This reduction in load enables the drones to operate more effectively, performing their duties with increased efficiency. Furthermore, the ability to deliver precise data about areas that require attention facilitates variable rate applications of water, fertilizers, and pesticides, ensuring that resources are used judiciously. Ultimately, this combination of efficiency and precision not only boosts crop health and yields but also promotes more responsible agricultural practices.
Authors
- M. A. Jabbar
- V. Venkatesh Babu
- V. Balaji
- Y. S. Rama Krishna
- T. Yugendhar Naidu
- V. Deekshitha
Institutions
- Fo Guang Shan (TW)
Publication Details
- Published
- 2025-07-04
- DOI
- https://doi.org/10.1109/icctdc64446.2025.11158891
- Primary Topic
- Wireless Sensor Networks and IoT
- Type
- article
- Field-Weighted Citation Impact
- 0.00