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Leveraging precision agriculture techniques using UAVs and emerging disruptive technologies

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dc.contributor.author Gupta, Shashank
dc.date.accessioned 2025-05-13T09:22:04Z
dc.date.available 2025-05-13T09:22:04Z
dc.date.issued 2024-07
dc.identifier.uri https://www.sciencedirect.com/science/article/pii/S2772427124000317
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/18911
dc.description.abstract The next great innovation in Unmanned Aerial Vehicles (UAV) technology is smart UAVs, which aim to provide new possibilities in numerous applications. There is an increasing usage of UAVs in various fields of civil applications including live tracking, wireless connectivity, distribution of goods, remote sensing, protection and surveillance, precision agriculture, and review of civil infrastructure. UAVs or drones have a tremen- dous potential to provide smart farming with various productive solutions. Internet of Things (IoT) technologies together with UAVs are anticipated to transform agriculture, allowing decision- making in days rather than weeks, offering substantial cost savings and yield increases. These technologies are employed in a number of different ways, from monitoring crop status and amount of moisture in soil in real time to using drones to help with activities such as the application of pesticide spray. Nonethe- less, the employment of such IoT and smart networking technol- ogy, exposes the smart farming ecosystem to cyber security risks and vulnerabilities. This survey gives a detailed understanding of UAV applications in Precision Agriculture (PA). In this survey, we demonstrate a comprehensive analysis on security and privacy in a smart farming scenario. In this complex and dispersed cyber- physical environment, we describe how Blockchain technology along with 5 G in UAVs communication network can dissipate the security issues of the network. The survey addresses possible scenarios for cyber threats and the advancement in the fields of machine learning and artificial intelligence that can boost cybersecurity. At last, the survey outlines open research issues and future directions in the field of cybersecurity in UAVs and PA. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Computer Science en_US
dc.subject Unmanned Aerial Vehicles (UAVs) en_US
dc.subject Precision agri- culture en_US
dc.subject Smart farming en_US
dc.subject Internet of Things (IoT) en_US
dc.subject Machine learning (ML) en_US
dc.subject Artificial intelligence (AI) en_US
dc.title Leveraging precision agriculture techniques using UAVs and emerging disruptive technologies en_US
dc.type Article en_US


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