A review on the use of drones for precision agriculture

In recent years, there has been a strong activity in the so-called precision agriculture, particularly the monitoring aspect, not only to improve productivity, but also to meet demand of a growing population. At a large scale, precise monitoring of cultivated fields is a quite challenging task. Therefore, this paper aims to propose a survey on techniques, applied to precision agriculture monitoring, through the use of drones equipped with multispectral, thermal and visible cameras. For each application, the main limitations are highlighted and the parameters to be considered before to perform a flight are reported.

[1]  Pasquale Daponte,et al.  A remote-controlled platform for UAS testing , 2018, IEEE Aerospace and Electronic Systems Magazine.

[2]  M. Ruggieri,et al.  An early-warning aerospace system for relevant water bodies monitoring , 2015, 2015 IEEE Metrology for Aerospace (MetroAeroSpace).

[3]  Erina Ferro,et al.  UAVs in WSNs for agricultural applications: An analysis of the two-ray radio propagation model , 2014, IEEE SENSORS 2014 Proceedings.

[4]  Giancarmine Fasano,et al.  A standardized approach to derive system specifications for drones operating in the future UTM scenario , 2017, 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS).

[5]  Pasquale Daponte,et al.  From the editors of the special issue on selected methods and instrumentation of metrology for aerospace , 2018 .

[6]  Pablo J. Zarco-Tejada,et al.  Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Pasquale Daponte,et al.  A height measurement uncertainty model for archaeological surveys by aerial photogrammetry , 2017 .

[8]  Pasquale Daponte,et al.  Metrology for drone and drone for metrology: Measurement systems on small civilian drones , 2015, 2015 IEEE Metrology for Aerospace (MetroAeroSpace).

[9]  Roland Siegwart,et al.  Safe Local Exploration for Replanning in Cluttered Unknown Environments for Microaerial Vehicles , 2017, IEEE Robotics and Automation Letters.

[10]  Deepak Murugan,et al.  Fusion of drone and satellite data for precision agriculture monitoring , 2016, 2016 11th International Conference on Industrial and Information Systems (ICIIS).

[11]  Tania Prinsloo,et al.  The influence of drone monitoring on crop health and harvest size , 2017, 2017 1st International Conference on Next Generation Computing Applications (NextComp).

[12]  Stéphane Burgos,et al.  USE OF VERY HIGH-RESOLUTION AIRBORNE IMAGES TO ANALYSE 3D CANOPY ARCHITECTURE OF A VINEYARD , 2015 .

[13]  Luigi Iannelli,et al.  CrazyS: A Software-In-The-Loop Platform for the Crazyflie 2.0 Nano-Quadcopter , 2018, 2018 26th Mediterranean Conference on Control and Automation (MED).

[14]  J. Flexas,et al.  UAVs challenge to assess water stress for sustainable agriculture , 2015 .

[15]  Qiping Chu,et al.  Cascaded incremental nonlinear dynamic inversion for MAV disturbance rejection , 2018 .

[16]  S. Carpenter,et al.  NONPOINT POLLUTION OF SURFACE WATERS WITH PHOSPHORUS AND NITROGEN , 1998 .