scholarly journals Preflight and Flight Instructions on the Use of Unmanned Aerial Vehicles (UAVs) for Agricultural Applications

EDIS ◽  
2019 ◽  
Vol 2019 (6) ◽  
pp. 5
Author(s):  
Sri Charan Kakarla ◽  
Leon De Morais Nunes ◽  
Yiannis Ampatzidis
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Mission Planning ◽  
Biological Engineering ◽  
Appropriate Use ◽  
Aerial Vehicles ◽  
Agricultural Applications

This 5-page document provides guidance on the appropriate use of unmanned aerial vehicles (UAVs) for agricultural applications in Florida. It contains step-by-step instructions for preparing a UAV for flight, creating a mission path (using flight mission planning apps), and collecting UAV-based data. Written by Sri Charan Kakarla, Leon De Morais Nunes, and Yiannis Ampatzidis, and published by the UF/IFAS Department of Agricultural and Biological Engineering, November 2019.

scholarly journals Postflight Data Processing Instructions on the Use of Unmanned Aerial Vehicles (UAVs) for Agricultural Applications

EDIS ◽  
2019 ◽  
Vol 2019 (6) ◽  
pp. 6
Author(s):  
Sri Charan Kakarla ◽  
Yiannis Ampatzidis
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Biological Engineering ◽  
Post Processing ◽  
High Resolution Data ◽  
Sensing Applications ◽  
Aerial Vehicles ◽  
Agricultural Applications ◽  
Remote Sensing Applications ◽  
Processing Software ◽  
Resolution Data

Remote sensing applications for agriculture often require periodically collected high-resolution data, which are difficult to obtain by manned flights or satellite imagery. This 6-page document provides guidance on the use of post-processing software to visualize data collected by unmanned aerial vehicles (UAVs) for agriculturalapplications. It provides step-by-step instructions for using the data collected from a UAV flight to create several types of maps and indices. Written by Sri Charan Kakarla and Yiannis Ampatzidis, and published by the UF/IFAS Department of Agricultural and Biological Engineering, October 2019.

scholarly journals Types of Unmanned Aerial Vehicles (UAVs), Sensing Technologies, and Software for Agricultural Applications

EDIS ◽  
2021 ◽  
Vol 2021 (5) ◽  
Author(s):  
Sri Charan Kakarla ◽  
Yiannis Ampatzidis
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Biological Engineering ◽  
Aerial Vehicles ◽  
Agricultural Applications

This publication provides detailed information about the most used UAVs, sensing technologies, and software for agricultural applications. Written by Sri Charan Kakarla and Yiannis Ampatzidis, and published by the UF/IFAS Department of Agricultural and Biological Engineering, October 2021.

scholarly journals A Hierarchical Cooperative Mission Planning Mechanism for Multiple Unmanned Aerial Vehicles

Electronics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 443 ◽  
Author(s):  
Zhe Zhao ◽  
Jian Yang ◽  
Yifeng Niu ◽  
Yu Zhang ◽  
Lincheng Shen
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Search Algorithm ◽  
Pseudospectral Method ◽  
Task Assignment ◽  
Mission Planning ◽  
Planning Problem ◽  
B Spline ◽  
Aerial Vehicles ◽  
Third Stage ◽  
Multiple Unmanned Aerial Vehicles

In this paper, the cooperative multi-task online mission planning for multiple Unmanned Aerial Vehicles (UAVs) is studied. Firstly, the dynamics of unmanned aerial vehicles and the mission planning problem are studied. Secondly, a hierarchical mechanism is proposed to deal with the complex multi-UAV multi-task mission planning problem. In the first stage, the flight paths of UAVs are generated by the Dubins curve and B-spline mixed method, which are defined as “CBC)” curves, where “C” stands for circular arc and “B” stands for B-spline segment. In the second stage, the task assignment problem is solved as multi-base multi-traveling salesman problem, in which the “CBC” flight paths are used to estimate the trajectory costs. In the third stage, the flight trajectories of UAVs are generated by using Gaussian pseudospectral method (GPM). Thirdly, to improve the computational efficiency, the continuous and differential initial trajectories are generated based on the “CBC” flight paths. Finally, numerical simulations are presented to demonstrate the proposed approach, the designed initial solution search algorithm is compared with existing methods. These results indicate that the proposed hierarchical mission planning method can produce satisfactory mission planning results efficiently.

scholarly journals FEATURES OF THE USE OF UNMANNED AERIAL VEHICLES FOR AGRICULTURE APPLICATIONS

Aviation ◽  
2013 ◽  
Vol 17 (4) ◽  
pp. 170-175 ◽  
Author(s):  
Aleksandrs Urbahs ◽  
Ieva Jonaite
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Agricultural Land ◽  
Structural Characteristics ◽  
Detailed Review ◽  
Aerial Vehicles ◽  
Aerial Surveys ◽  
Agricultural Applications ◽  
Transport Vehicle ◽  
Vehicle Technology ◽  
Interesting Alternative

Micro-UAVs (unmanned aerial vehicles) with a total weight below 5 kg are interesting alternative carriers for agricultural applications. Compared to standard airborne aerial surveys, UAVs are much more flexible and weather independent. As a result, micro-UAV surveys will pave the way for affordable, current and accurate geo-information. This article deals with the general conditions and challenges for unmanned aerial vehicles that can be used for agricultural land monitoring. The article includes an overview of the structural characteristics and parameters of a UAV that has been developed for environmental monitoring by the Institute of Transport Vehicle Technology of Riga Technical University, and a detailed review about surveying fields with UAV systems is carried out.

Multiobjective Mission Planning for UAV under Uncertain Environment

2014 ◽  
Vol 556-562 ◽  
pp. 4435-4438
Author(s):  
Jing Yao Zhu ◽  
Qi Fang He ◽  
Tie Zhu Wang ◽  
Zu Tong Wang
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Uncertainty Theory ◽  
Multiobjective Programming ◽  
Flight Time ◽  
Programming Method ◽  
Mission Planning ◽  
Planning Problem ◽  
Uncertain Environment ◽  
Aerial Vehicles ◽  
Combat Environment

The combat environment of Unmanned Aerial Vehicles (UAVs) is filled with uncertain factors, which is complex and dynamic. This paper is devoted to the UAV mission planning problem under uncertain environment with three optimization objectives, such as flight time, fuel usage and threat imposed by enemy. Based on the uncertainty theory and multiobjective programming method, the UAV uncertain multiobjective mission plaaning model is built and solved.

scholarly journals Mission Planning for Unmanned Aerial Vehicles Based on Voronoi Diagram-Tabu Genetic Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Wei Tan ◽  
Yong-jiang Hu ◽  
Yue-fei Zhao ◽  
Wen-guang Li ◽  
Xiao-meng Zhang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Unmanned Aerial Vehicles ◽  
Voronoi Diagram ◽  
Pso Algorithm ◽  
Mission Planning ◽  
Cooperative System ◽  
Aerial Vehicles ◽  
Rendezvous Problem ◽  
Aerial Vehicle ◽  
Multi Uav

Unmanned aerial vehicles (UAVs) are increasingly used in different military missions. In this paper, we focus on the autonomous mission allocation and planning abilities for the UAV systems. Such abilities enable adaptation to more complex and dynamic mission environments. We first examine the mission planning of a single unmanned aerial vehicle. Based on that, we then investigate the multi-UAV cooperative system under the mission background of cooperative target destruction and show that it is a many-to-one rendezvous problem. A heterogeneous UAV cooperative mission planning model is then proposed where the mission background is generated based on the Voronoi diagram. We then adopt the tabu genetic algorithm (TGA) to obtain multi-UAV mission planning. The simulation results show that the single-UAV and multi-UAV mission planning can be effectively realized by the Voronoi diagram-TGA (V-TGA). It is also shown that the proposed algorithm improves the performance by 3% in comparison with the Voronoi diagram-particle swarm optimization (V-PSO) algorithm.

The Development and Key Technologies of Unmanned Aerial Vehicles Mission Planning System

2013 ◽  
Vol 791-793 ◽  
pp. 2104-2107
Author(s):  
Hui Feng Zhang ◽  
Yan Song Zhang ◽  
Wei Ye ◽  
Liguo Lan Zhao ◽  
Huan Zhi
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Mission Planning ◽  
Planning System ◽  
Aerial Vehicles ◽  
Technical Content ◽  
Key Technologies ◽  
Foreign Mission

Mission planning system is one of the essential equipment for unmanned aerial vehicles task implementation. The development of mission planning system is necessary for the improvement of the efficiency and safety of the unmanned aerial vehicles. Comparing with foreign advanced mission planning system, this area in China is relatively undeveloped. This article focuses on the analysis of some of the key technical content of the overview of the development of the foreign mission planning, trying to provide reference to China's development of mission planning system.

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