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Semantic Scholar · Article (Discover Sustainability)
Future of sustainable farming: exploring opportunities and overcoming barriers in drone-IoT integration
Attribution
This is the abstract and citation. Full text lives at Semantic Scholar — we link out rather than host. All credit to the authors and Discover Sustainability.
Abstract
Verbatim from Semantic Scholar. Not paraphrased, not summarized.
Sustainable agriculture is being transformed by drone-IoT integration, improving precision, efficiency, and sustainability. This study examines the pros and downsides of using various technologies to handle connectivity, data management, and power consumption issues. We assess existing integration methods, such as multispectral imaging, real-time IoT monitoring, and machine learning-driven predictive analytics, to gain actionable insights into soil health, crop conditions, and pest control. We also explore regulatory frameworks and technical constraints, including data security and affordability that prevent widespread use. Research shows that drone IoT solutions improve agricultural output, resource consumption, and farm efficiency, but cost and infrastructure hurdles limit availability, especially for smallholder farmers. These findings show that supporting regulatory frameworks and economical technology solutions are needed to increase adoption. Advances in agricultural autonomous decision-making could increase food security and sustainable farming worldwide.
Authors
- Sunawar Khan
- Tehseen Mazhar
- Tariq Shahzad
- Muhammad Amir Khan
- S. Guizani
- Habib Hamam
Keywords
- Environmental Science
- Agricultural and Food Sciences
- Computer Science
- Engineering
Citation: Sunawar Khan, Tehseen Mazhar, Tariq Shahzad , et al. (2024). Future of sustainable farming: exploring opportunities and overcoming barriers in drone-IoT integration. Discover Sustainability. Semantic Scholar ID cd168cd03700222508890222c8badca77a770936. https://doi.org/10.1007/s43621-024-00736-y ↗