Publication Type : Conference Paper
Publisher : Springer
Source : Third International Conference on Advanced Computational and Communication Paradigms (ICACCP 2021), Singapore, 2021. vol 1373. Springer Book Seried in Advances in Intelligent Systems and Computing, pp 241-250.
Url : https://link.springer.com/chapter/10.1007/978-981-16-4369-9_25
Keywords : Agricultural drone, MATLAB, Path planning, GPS, Spline, Cubic polynomial, Autonomous drone, Navigation system
Campus : Bengaluru
School : School of Engineering
Department : Computer Science and Engineering
Year : 2021
Abstract : rone technology is advancing in rapid pace in the past decade, particularly in agriculture and its allied fields it has been extensively used. Drones make farming productive and precise. They help in optimizing agricultural operations, monitoring crops and their growth, and help in monitoring soil health with help of sensors and digital image processing. Piloting a drone is not easy and requires some level of expertise. So, a novice user cannot pilot a drone without proper training. To overcome this, an autonomous drone can be used. In any autonomous mobile robot, path planning is an important subsystem. In this work, a GPS-based path planning algorithm is proposed which can aid farmers in various agricultural activities. The system takes inputs related to farm boundary and crop planting pattern and generates path output based on the type of agriculture activities like surveying, spraying, seeding and quick monitoring. Cubic polynomial and spline function are used to calculate the path and its via points. The proposed algorithm is implemented in MATLAB.
Cite this Research Publication : Gade Sriram Reddy, A. A. Nippun Kumaar, "GPS-Based Path Planning Algorithm for Agriculture Drones", Third International Conference on Advanced Computational and Communication Paradigms (ICACCP 2021), Singapore, 2021. vol 1373. Springer book seried in Advances in Intelligent Systems and Computing, pp 241-250.