2023
DOI: 10.14569/ijacsa.2023.01406123
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Unmanned Aerial Vehicle-based Applications in Smart Farming: A Systematic Review

Abstract: On one hand, the emergence of cutting-edge technologies like AI, Cloud Computing, and IoT holds immense potential in Smart Farming and Precision Agriculture. These technologies enable real-time data collection, including highresolution crop imagery, using Unmanned Aerial Vehicles (UAVs). Leveraging these advancements can revolutionize agriculture by facilitating faster decision-making, cost reduction, and increased yields. Such progress aligns with precision agriculture principles, optimizing practices for the… Show more

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Cited by 10 publications
(8 citation statements)
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“…Right now, precision agriculture tries to provide answers. But the issue that emerges and worries us greatly is whether artificial intelligence (AI) can really assist in resolving the worldwide crop loss that imperils the planet's food security [7]. Dhanaraju et al (2022) [34] noted that artificial intelligence, big data, cloud and edge computing, smart sensors, Internet of Things (IoT) technology, robots, drones, and artificial intelligence are the primary digital technologies enabling the development and implementation of smart agricultural systems.…”
Section: Literature Reviewmentioning
confidence: 99%
See 2 more Smart Citations
“…Right now, precision agriculture tries to provide answers. But the issue that emerges and worries us greatly is whether artificial intelligence (AI) can really assist in resolving the worldwide crop loss that imperils the planet's food security [7]. Dhanaraju et al (2022) [34] noted that artificial intelligence, big data, cloud and edge computing, smart sensors, Internet of Things (IoT) technology, robots, drones, and artificial intelligence are the primary digital technologies enabling the development and implementation of smart agricultural systems.…”
Section: Literature Reviewmentioning
confidence: 99%
“…AI technologies are being used in agriculture in a variety of contexts, altering conventional agricultural methods. These are a few major fields where AI is having a big influence [7,40,41]. Artificial intelligence (AI) technologies, such as computer vision, robotics, natural language processing, and machine learning, have been integrated into tech business models in recent years.…”
Section: Applications Of Ai In Agriculturementioning
confidence: 99%
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“…In recent years, agriculture has undergone a high range revolution and is termed as Agri-4.0 as Information and Communication Technology (ICT) has been successfully utilized into the process of conventional farming. Some of potential farming techniques include Machine Learning Techniques (MLT), Deep Learning Techniques (DLT), Remote Sensing Data (RSD), Analysis of Big Data (ABD), Internet of Things (IoT) and Unmanned Aerial Vehicles (UAVs) [3,4].…”
Section: Introductionmentioning
confidence: 99%
“…One of the numerous elements influencing agricultural production is soil fertility. Soil fertility is an important aspect of agriculture that is controlled by a Venkata Ramana M 4 , Srikanth Meda 5 , Venkateswara Rao Patibandla 6 , and Murali Musunuri 6 variety of factors, including environmental, human, and biotic factors, all of which affect nutrient levels and crop health sustainability [7]. The general sensors utilized for smart agricultural system is shown in Fig.…”
Section: Introductionmentioning
confidence: 99%