Accurate Crop Spraying with RTK and Machine Learning on an Autonomous Field Robot

Autor:	Wijesundara, W. M. T. D., Wanigathunga, T. D., Waas, M. N. C., Hithanadura, R. T., Munasinghe, S. R.
Rok vydání:	2023
Předmět:	Computer Science - Robotics
Druh dokumentu:	Working Paper
Popis:	The agriculture sector requires a lot of labor and resources. Hence, farmers are constantly being pressed for technology and automation to be cost-effective. In this context, autonomous robots can play a very important role in carrying out agricultural tasks such as spraying, sowing, inspection, and even harvesting. This paper presents one such autonomous robot that is able to identify plants and spray agro-chemicals precisely. The robot uses machine vision technologies to find plants and RTK-GPS technology to navigate the robot along a predetermined path. The experiments were conducted in a field of potted plants in which successful results have been obtained. Comment: 7 pages, 12 figures, Journal
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2310.16812 Zobrazit plný text záznamu View this record from Arxiv