A State-of-the-Art Analysis of Obstacle Avoidance Methods from the Perspective of an Agricultural Sprayer UAV’s Operation Scenario
Over the last decade, Unmanned Aerial Vehicles (UAVs), also known as drones, have been broadly utilized in various agricultural fields, such as crop management, crop monitoring, seed sowing, and pesticide spraying. Nonetheless, autonomy is still a crucial limitation faced by the Internet of Things (...
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MDPI AG
2021-05-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/11/6/1069 |
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doaj-31b4759f0c044ae693439802d86634d42021-06-01T01:08:26ZengMDPI AGAgronomy2073-43952021-05-01111069106910.3390/agronomy11061069A State-of-the-Art Analysis of Obstacle Avoidance Methods from the Perspective of an Agricultural Sprayer UAV’s Operation ScenarioShibbir Ahmed0Baijing Qiu1Fiaz Ahmad2Chun-Wei Kong3Huang Xin4School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Aerospace Engineering, University of Michigan, 1320 Beal Avenue, Ann Arbor, MI 48109, USASchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaOver the last decade, Unmanned Aerial Vehicles (UAVs), also known as drones, have been broadly utilized in various agricultural fields, such as crop management, crop monitoring, seed sowing, and pesticide spraying. Nonetheless, autonomy is still a crucial limitation faced by the Internet of Things (IoT) UAV systems, especially when used as sprayer UAVs, where data needs to be captured and preprocessed for robust real-time obstacle detection and collision avoidance. Moreover, because of the objective and operational difference between general UAVs and sprayer UAVs, not every obstacle detection and collision avoidance method will be sufficient for sprayer UAVs. In this regard, this article seeks to review the most relevant developments on all correlated branches of the obstacle avoidance scenarios for agricultural sprayer UAVs, including a UAV sprayer’s structural details. Furthermore, the most relevant open challenges for current UAV sprayer solutions are enumerated, thus paving the way for future researchers to define a roadmap for devising new-generation, affordable autonomous sprayer UAV solutions. Agricultural UAV sprayers require data-intensive algorithms for the processing of the images acquired, and expertise in the field of autonomous flight is usually needed. The present study concludes that UAV sprayers are still facing obstacle detection challenges due to their dynamic operating and loading conditions.https://www.mdpi.com/2073-4395/11/6/1069agricultural sprayer UAVsInternet of Thingsobstacles on farmlandoperation patternobstacle detectioncollision avoidance |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Shibbir Ahmed Baijing Qiu Fiaz Ahmad Chun-Wei Kong Huang Xin |
| spellingShingle |
Shibbir Ahmed Baijing Qiu Fiaz Ahmad Chun-Wei Kong Huang Xin A State-of-the-Art Analysis of Obstacle Avoidance Methods from the Perspective of an Agricultural Sprayer UAV’s Operation Scenario Agronomy agricultural sprayer UAVs Internet of Things obstacles on farmland operation pattern obstacle detection collision avoidance |
| author_facet |
Shibbir Ahmed Baijing Qiu Fiaz Ahmad Chun-Wei Kong Huang Xin |
| author_sort |
Shibbir Ahmed |
| title |
A State-of-the-Art Analysis of Obstacle Avoidance Methods from the Perspective of an Agricultural Sprayer UAV’s Operation Scenario |
| title_short |
A State-of-the-Art Analysis of Obstacle Avoidance Methods from the Perspective of an Agricultural Sprayer UAV’s Operation Scenario |
| title_full |
A State-of-the-Art Analysis of Obstacle Avoidance Methods from the Perspective of an Agricultural Sprayer UAV’s Operation Scenario |
| title_fullStr |
A State-of-the-Art Analysis of Obstacle Avoidance Methods from the Perspective of an Agricultural Sprayer UAV’s Operation Scenario |
| title_full_unstemmed |
A State-of-the-Art Analysis of Obstacle Avoidance Methods from the Perspective of an Agricultural Sprayer UAV’s Operation Scenario |
| title_sort |
state-of-the-art analysis of obstacle avoidance methods from the perspective of an agricultural sprayer uav’s operation scenario |
| publisher |
MDPI AG |
| series |
Agronomy |
| issn |
2073-4395 |
| publishDate |
2021-05-01 |
| description |
Over the last decade, Unmanned Aerial Vehicles (UAVs), also known as drones, have been broadly utilized in various agricultural fields, such as crop management, crop monitoring, seed sowing, and pesticide spraying. Nonetheless, autonomy is still a crucial limitation faced by the Internet of Things (IoT) UAV systems, especially when used as sprayer UAVs, where data needs to be captured and preprocessed for robust real-time obstacle detection and collision avoidance. Moreover, because of the objective and operational difference between general UAVs and sprayer UAVs, not every obstacle detection and collision avoidance method will be sufficient for sprayer UAVs. In this regard, this article seeks to review the most relevant developments on all correlated branches of the obstacle avoidance scenarios for agricultural sprayer UAVs, including a UAV sprayer’s structural details. Furthermore, the most relevant open challenges for current UAV sprayer solutions are enumerated, thus paving the way for future researchers to define a roadmap for devising new-generation, affordable autonomous sprayer UAV solutions. Agricultural UAV sprayers require data-intensive algorithms for the processing of the images acquired, and expertise in the field of autonomous flight is usually needed. The present study concludes that UAV sprayers are still facing obstacle detection challenges due to their dynamic operating and loading conditions. |
| topic |
agricultural sprayer UAVs Internet of Things obstacles on farmland operation pattern obstacle detection collision avoidance |
| url |
https://www.mdpi.com/2073-4395/11/6/1069 |
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