The application of small unmanned aerial systems for precision agriculture: a review

被引:0
|
作者
Chunhua Zhang
John M. Kovacs
机构
[1] Algoma University,Department of Geography and Geology
[2] Nipissing University,Department of Geography
来源
Precision Agriculture | 2012年 / 13卷
关键词
Low altitude remote sensing; Unmanned aerial systems (UAS); UAS platforms; UAS cameras; UAS aviation regulations; UAS limitations; Farmer participation;
D O I
暂无
中图分类号
学科分类号
摘要
Precision agriculture (PA) is the application of geospatial techniques and sensors (e.g., geographic information systems, remote sensing, GPS) to identify variations in the field and to deal with them using alternative strategies. In particular, high-resolution satellite imagery is now more commonly used to study these variations for crop and soil conditions. However, the availability and the often prohibitive costs of such imagery would suggest an alternative product for this particular application in PA. Specifically, images taken by low altitude remote sensing platforms, or small unmanned aerial systems (UAS), are shown to be a potential alternative given their low cost of operation in environmental monitoring, high spatial and temporal resolution, and their high flexibility in image acquisition programming. Not surprisingly, there have been several recent studies in the application of UAS imagery for PA. The results of these studies would indicate that, to provide a reliable end product to farmers, advances in platform design, production, standardization of image georeferencing and mosaicing, and information extraction workflow are required. Moreover, it is suggested that such endeavors should involve the farmer, particularly in the process of field design, image acquisition, image interpretation and analysis.
引用
收藏
页码:693 / 712
页数:19
相关论文
共 50 条
  • [31] A review of aerial manipulation of small-scale rotorcraft unmanned robotic systems
    Xilun DING
    Pin GUO
    Kun XU
    Yushu YU
    [J]. Chinese Journal of Aeronautics, 2019, (01) : 200 - 214
  • [32] A review of aerial manipulation of small-scale rotorcraft unmanned robotic systems
    Ding, Xilun
    Guo, Pin
    Xu, Kun
    Yu, Yushu
    [J]. CHINESE JOURNAL OF AERONAUTICS, 2019, 32 (01) : 200 - 214
  • [33] .A DECADE OF UNMANNED AERIAL SYSTEMS IN IRRIGATED AGRICULTURE IN THE WESTERN US
    Chavez, J. L.
    Torres-Rua, A. F.
    Woldt, W. E.
    Zhang, H.
    Robertson, C.
    Marek, G. W.
    Wang, D.
    Heeren, D. M.
    Taghvaeian, S.
    Neale, C. M. U.
    [J]. APPLIED ENGINEERING IN AGRICULTURE, 2020, 36 (04) : 423 - 436
  • [34] Approach Methods for Autonomous Precision Aerial Drop from a Small Unmanned Aerial Vehicle
    Mathisen, Siri H.
    Grindheim, Vegard
    Johansen, Tor A.
    [J]. IFAC PAPERSONLINE, 2017, 50 (01): : 3566 - 3573
  • [35] Application of Unmanned Aerial Systems for Bridge Inspection
    Azari, Hoda
    O'Shea, Dennis
    Campbell, Joe
    [J]. TRANSPORTATION RESEARCH RECORD, 2022, 2676 (01) : 401 - 407
  • [36] Unmanned Aerial Systems for Civil Applications: A Review
    Gonzalez-Jorge, Higinio
    Martinez-Sanchez, Joaquin
    Bueno, Martin
    Arias, Pedor
    [J]. DRONES, 2017, 1 (01) : 1 - 19
  • [37] Unmanned aerial vehicles for plant protection and precision agriculture: a study on low-altitude route planning method of unmanned aerial vehicles
    Hu, Weijun
    Quan, Jiale
    Ma, Xianlong
    [J]. PAKISTAN JOURNAL OF AGRICULTURAL SCIENCES, 2023, 60 (02): : 435 - 445
  • [38] Remote Sensing with Unmanned Aircraft Systems for Precision Agriculture Applications
    Hunt, E. Raymond, Jr.
    Daughtry, Craig S. T.
    Mirsky, Steven B.
    Hively, W. Dean
    [J]. 2013 SECOND INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2013, : 131 - 134
  • [39] Application of Interacting Multiple Model for Future State Prediction of Small Unmanned Aerial Systems
    Wells, James Z.
    Kumar, Rumit
    Kumar, Manish
    [J]. 2021 AMERICAN CONTROL CONFERENCE (ACC), 2021, : 3755 - 3760
  • [40] Convolutional Neural Networks on Small Unmanned Aerial Systems
    Kaster, Joshua
    Patrick, James
    Clouse, Hamilton Scott
    [J]. 2017 IEEE NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE (NAECON), 2017, : 149 - 154