Unmanned Aerial Vehicles in Agriculture: A Review of Perspective of Platform, Control, and Applications

For agricultural applications, regularized smart-farming solutions are being considered, including the use of unmanned aerial vehicles (UAVs). The UAVs combine information and communication technologies, robots, artificial intelligence, big data, and the Internet of Things. The agricultural UAVs are highly capable, and their use has expanded across all areas of agriculture, including pesticide and fertilizer spraying, seed sowing, and growth assessment and mapping. Accordingly, the market for agricultural UAVs is expected to continue growing with the related technologies. In this study, we consider the latest trends and applications of leading technologies related to agricultural UAVs, control technologies, equipment, and development. We discuss the use of UAVs in real agricultural environments. Furthermore, the future development of the agricultural UAVs and their challenges are presented.

[1]  Weiliang Xu,et al.  A vision-based autonomous aerial spray system for precision agriculture , 2017, 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[2]  Dongjun Lee,et al.  Design, modeling and control of omni-directional aerial robot , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[3]  Mitchell C. Hunter,et al.  Agriculture in 2050: Recalibrating Targets for Sustainable Intensification , 2017 .

[4]  Catur Aries Rokhmana,et al.  The Potential of UAV-based Remote Sensing for Supporting Precision Agriculture in Indonesia☆ , 2015 .

[5]  Katja Brinkmann,et al.  Monitoring of crop biomass using true colour aerial photographs taken from a remote controlled hexacopter , 2015 .

[6]  Yasuhiro Oikawa,et al.  Three-dimensional noise and spatial mapping system with aerial blimp robot , 2019 .

[7]  Yubin Lan,et al.  Current status and future trends of precision agricultural aviation technologies , 2017 .

[8]  María Romero,et al.  Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management , 2018, Comput. Electron. Agric..

[9]  Wen-Hua Chen,et al.  Fixed Wing UAV Survey Coverage Path Planning in Wind for Improving Existing Ground Control Station Software , 2018, 2018 37th Chinese Control Conference (CCC).

[10]  Bo-Hwa Lee,et al.  Power managements of a hybrid electric propulsion system for UAVs , 2012 .

[11]  Fernando Santos Osório,et al.  The use of unmanned aerial vehicles and wireless sensor networks for spraying pesticides , 2014, J. Syst. Archit..

[12]  Baris Fidan,et al.  Adaptive Linear Quadratic Attitude Tracking Control of a Quadrotor UAV Based on IMU Sensor Data Fusion , 2019, Sensors.

[13]  A. E. Rodriguez-Mata,et al.  Discontinuous High-Gain Observer in a Robust Control UAV Quadrotor: Real-Time Application for Watershed Monitoring , 2018, Mathematical Problems in Engineering.

[14]  Deng Lie,et al.  Effects of citrus tree-shape and spraying height of small unmanned aerial vehicle on droplet distribution , 2016 .

[15]  P. Zarco-Tejada,et al.  Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera , 2012 .

[16]  Andrea Berton,et al.  IEEE 802.15.4 Air-Ground UAV Communications in Smart Farming Scenarios , 2018, IEEE Communications Letters.

[17]  I. Kar,et al.  Geometric Tracking Control of a Quadrotor on SE(3) using left tracking error function , 2020 .

[18]  Ola Hall,et al.  Remote Sensing of Yields: Application of UAV Imagery-Derived NDVI for Estimating Maize Vigor and Yields in Complex Farming Systems in Sub-Saharan Africa , 2018, Drones.

[19]  Marios M. Polycarpou,et al.  Cooperative real-time search and task allocation in UAV teams , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[20]  Taeyoung Lee,et al.  Geometric tracking control of a quadrotor UAV on SE(3) , 2010, 49th IEEE Conference on Decision and Control (CDC).

[21]  Derek Long,et al.  Row and water front detection from UAV thermal-infrared imagery for furrow irrigation monitoring , 2016, 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).

[22]  André Carlos Ponce de Leon Ferreira de Carvalho,et al.  Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields: An Approach for Dynamic Environments , 2016, Int. J. Artif. Intell. Tools.

[23]  F. López-Granados,et al.  Weed Mapping in Early-Season Maize Fields Using Object-Based Analysis of Unmanned Aerial Vehicle (UAV) Images , 2013, PloS one.

[24]  Muhammad Ahsan Latif,et al.  An Agricultural Perspective on Flying Sensors: State of the Art, Challenges, and Future Directions , 2018, IEEE Geoscience and Remote Sensing Magazine.

[25]  F. López-Granados,et al.  Assessing the accuracy of mosaics from unmanned aerial vehicle (UAV) imagery for precision agriculture purposes in wheat , 2013, Precision Agriculture.

[26]  Yong Ho Moon,et al.  Development of software platform for monitoring of multiple small UAVs , 2016, 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC).

[27]  D. P. Schrage,et al.  Software-enabled control for intelligent UAVs , 1999, Proceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design (Cat. No.99TH8404).

[28]  Won Suk Lee,et al.  Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees , 2013 .

[29]  K. Swain,et al.  Adoption of an unmanned helicopter for low-altitude remote sensing to estimate yield and total biomass of a rice crop. , 2010 .

[30]  Nirmit Prabhakar.  Direct Adaptive Control for a Trajectory Tracking UAV , 2018 .

[31]  D. Pimentel,et al.  Update on the environmental and economic costs associated with alien-invasive species in the United States , 2005 .

[32]  Emanuele Frontoni,et al.  Improving Variable Rate Treatments by Integrating Aerial and Ground Remotely Sensed Data , 2018, 2018 International Conference on Unmanned Aircraft Systems (ICUAS).

[33]  F. López-Granados,et al.  Configuration and Specifications of an Unmanned Aerial Vehicle (UAV) for Early Site Specific Weed Management , 2013, PloS one.

[34]  Simon Bennertz,et al.  Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[35]  Diogo Duarte,et al.  Towards Real-Time Building Damage Mapping with Low-Cost UAV Solutions , 2019, Remote. Sens..

[36]  Santosh K. Pitla,et al.  Potential for pesticide and nutrient savings via map-based automatic boom section control of spray nozzles , 2010 .

[37]  Kazunori Ohno,et al.  Development and Experimental Validation of Aerial Vehicle With Passive Rotating Shell on Each Rotor , 2019, IEEE Robotics and Automation Letters.

[38]  Heinrich H. Bülthoff,et al.  Multimodal feedback for teleoperation of multiple mobile robots in an outdoor environment , 2017, Journal on Multimodal User Interfaces.

[39]  Hyoung Il Son,et al.  Discrete Event Systems based Modeling for Agricultural Multiple Unmanned Aerial Vehicles: Automata Theory Approach , 2018, 2018 18th International Conference on Control, Automation and Systems (ICCAS).

[40]  Yubin Lan,et al.  Development of a Spray System for an Unmanned Aerial Vehicle Platform , 2009 .

[41]  Gim Song Soh,et al.  Towards a Stable Three-Mode Transformable HOvering Rotorcraft (THOR) , 2018, 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).

[42]  Konstantin Kondak,et al.  Generic slung load transportation system using small size helicopters , 2009, 2009 IEEE International Conference on Robotics and Automation.

[43]  Shahaboddin Shamshirband,et al.  A review of quadrotor UAV: control methodologies and performance evaluation , 2016, Int. J. Autom. Control..

[44]  James A. Brass,et al.  Imaging from an unmanned aerial vehicle: agricultural surveillance and decision support , 2004 .

[45]  Chun Chang,et al.  Develop an unmanned aerial vehicle based automatic aerial spraying system , 2016, Comput. Electron. Agric..

[46]  Lei Tian,et al.  Development of a low-cost agricultural remote sensing system based on an autonomous unmanned aerial vehicle (UAV) , 2011 .

[47]  Farrokh Janabi-Sharifi,et al.  Design and Development of an Agile Single-engine Holonomic Multicopter UAV , 2018 .

[48]  Bhaskar Saha,et al.  Battery health management system for electric UAVs , 2011, 2011 Aerospace Conference.

[49]  Gustavo Rezende Silva,et al.  Definition of Management Zones Through Image Processing for Precision Agriculture , 2017, 2017 Workshop of Computer Vision (WVC).

[50]  Hriday Bavle,et al.  A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Moving Platform , 2018, Journal of Intelligent & Robotic Systems.

[51]  Jorge Torres-Sánchez,et al.  High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology , 2015, PloS one.

[52]  Andreas Burkart,et al.  Deploying four optical UAV-based sensors over grassland: challenges and limitations , 2015 .

[53]  Yue Yu,et al.  Materially Engineered Artificial Pollinators , 2017 .

[54]  H. Nieto,et al.  Crop water stress maps for an entire growing season from visible and thermal UAV imagery , 2016 .

[55]  Rodrigo Kuntz Rangel.  Development of an UAVS distribution tools for pest's biological control “Bug Bombs !” , 2016, 2016 IEEE Aerospace Conference.

[56]  Joonhyuk Kang,et al.  ToA-based Localization Algorithm for Mitigating Positioning Error in NLoS Channel , 2018 .

[57]  M. Srinivasan,et al.  Remote sensing for UREA Spraying Agricultural (UAV) system , 2016, 2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS).

[58]  Peter Droogers,et al.  Effects of saline reclaimed waters and deficit irrigation on Citrus physiology assessed by UAV remote sensing , 2017 .

[59]  Oleg Sergiyenko,et al.  Resolution improvement of accelerometers measurement for drones in agricultural applications , 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.

[60]  Bilal Alsalam,et al.  Autonomous UAVs wildlife detection using thermal imaging, predictive navigation and computer vision , 2016, 2016 IEEE Aerospace Conference.

[61]  Erdal Torun.  UAV Requirements and Design Consideration , 2000 .

[62]  J. Baluja,et al.  Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV) , 2012, Irrigation Science.

[63]  Yubin Lan,et al.  Distribution law of rice pollen in the wind field of small UAV , 2017 .

[64]  L. Darrell Whitley,et al.  Evolving cooperative strategies for UAV teams , 2005, GECCO '05.

[65]  Abd Manan Samad,et al.  The potential of Unmanned Aerial Vehicle (UAV) for civilian and mapping application , 2013, 2013 IEEE 3rd International Conference on System Engineering and Technology.

[66]  Camillo J. Taylor,et al.  Towards fully autonomous visual inspection of dark featureless dam penstocks using MAVs , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[67]  F. López-Granados,et al.  Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV , 2014 .

[68]  P. Zarco-Tejada,et al.  Mapping radiation interception in row-structured orchards using 3D simulation and high-resolution airborne imagery acquired from a UAV , 2012, Precision Agriculture.

[69]  N. Muchiri,et al.  A Review of Applications and Potential Applications of UAV , 2016 .

[70]  Ahmad Bani Younes,et al.  A survey of hybrid Unmanned Aerial Vehicles , 2018 .

[71]  David J. Cappelleri,et al.  Autonomous Control of the Interacting-BoomCopter UAV for Remote Sensor Mounting , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

[72]  Hyoung Il Son,et al.  Multiple UAV Systems for Agricultural Applications: Control, Implementation, and Evaluation , 2018, Electronics.

[73]  Suk-Hwan Lee,et al.  Data analysis of the MAVLink communication protocol , 2017, 2017 International Conference on Information Science and Communications Technologies (ICISCT).

[74]  Dmitry Bratanov,et al.  A Novel Methodology for Improving Plant Pest Surveillance in Vineyards and Crops Using UAV-Based Hyperspectral and Spatial Data , 2018, Sensors.

[75]  Timothy W. McLain,et al.  Cooperative control of UAV rendezvous , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[76]  Andreas Burkart,et al.  Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance , 2015 .

[77]  Andrew Zulu,et al.  A Review of Control Algorithms for Autonomous Quadrotors , 2014, ArXiv.

[78]  Farid Kendoul,et al.  Modelling the effects of fundamental UAV flight parameters on LiDAR point clouds to facilitate objectives-based planning , 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

[79]  Mitch Campion,et al.  A Review and Future Directions of UAV Swarm Communication Architectures , 2018, 2018 IEEE International Conference on Electro/Information Technology (EIT).

[80]  Tuton Chandra Mallick,et al.  Design & implementation of an UAV (Drone) with flight data record , 2016, 2016 International Conference on Innovations in Science, Engineering and Technology (ICISET).

[81]  Himadri Nath Saha,et al.  IOT-based drone for improvement of crop quality in agricultural field , 2018, 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC).

[82]  F. Quagliotti,et al.  Monitoring performances and cost estimation of multirotor Unmanned Aerial Systems in precision farming , 2015, 2015 International Conference on Unmanned Aircraft Systems (ICUAS).

[83]  Um Rao Mogili,et al.  Review on Application of Drone Systems in Precision Agriculture , 2018 .

[84]  Xin Li,et al.  Design and Implementation of UAV Intelligent Aerial Photography System , 2012, 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics.

[85]  S. Nebiker,et al.  LIGHT-WEIGHT MULTISPECTRAL UAV SENSORS AND THEIR CAPABILITIES FOR PREDICTING GRAIN YIELD AND DETECTING PLANT DISEASES , 2016 .

[86]  J. Kovacs,et al.  Applications of Low Altitude Remote Sensing in Agriculture upon Farmers' Requests– A Case Study in Northeastern Ontario, Canada , 2014, PloS one.

[87]  Lifei Wei,et al.  Mini-UAV-Borne Hyperspectral Remote Sensing: From Observation and Processing to Applications , 2018, IEEE Geoscience and Remote Sensing Magazine.

[88]  Noboru Noguchi,et al.  Monitoring of Wheat Growth Status and Mapping of Wheat Yield's within-Field Spatial Variations Using Color Images Acquired from UAV-camera System , 2017, Remote. Sens..

[89]  C. Watson,et al.  Development of an Unmanned Aerial Vehicle (UAV) for hyper-resolution vineyard mapping based on visible, multispectral and thermal imagery , 2011 .

[90]  F. A. Vega,et al.  Multi-temporal imaging using an unmanned aerial vehicle for monitoring a sunflower crop , 2015 .

[91]  Aaron M. Dollar,et al.  Stability of small-scale UAV helicopters and quadrotors with added payload mass under PID control , 2012, Autonomous Robots.

[92]  Guillermo Heredia,et al.  Lightweight and Compliant Long Reach Aerial Manipulator for Inspection Operations , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[93]  C. C. Quach,et al.  Optimizing battery life for electric UAVs using a Bayesian framework , 2012, 2012 IEEE Aerospace Conference.

[94]  Felipe Gonzalez,et al.  Autonomous UAV with vision based on-board decision making for remote sensing and precision agriculture , 2017, 2017 IEEE Aerospace Conference.

[95]  P. Zarco-Tejadaa,et al.  Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle ( UAV ) , 2013 .

[96]  Youmin Zhang,et al.  Gain Scheduling Based PID Controller for Fault Tolerant Control of a Quad-Rotor UAV , 2010 .

[97]  Dieter Schmalstieg,et al.  Drone-Augmented Human Vision: Exocentric Control for Drones Exploring Hidden Areas , 2018, IEEE Transactions on Visualization and Computer Graphics.

[98]  Antonio Barrientos,et al.  Aerial remote sensing in agriculture: A practical approach to area coverage and path planning for fleets of mini aerial robots , 2011, J. Field Robotics.

[99]  Antonio Franchi,et al.  Modeling, control and design optimization for a fully-actuated hexarotor aerial vehicle with tilted propellers , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[100]  Yongcan Cao,et al.  Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control , 2008 .

[101]  Tom Duckett,et al.  Agricultural Robotics: The Future of Robotic Agriculture , 2018, UKRAS White Papers.

[102]  Y. A. Pederi,et al.  Unmanned Aerial Vehicles and new technological methods of monitoring and crop protection in precision agriculture , 2015, 2015 IEEE International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD).

[103]  Durham K. Giles,et al.  Deployment and Performance of a Uav for Crop Spraying , 2015 .