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

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...

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Bibliographic Details
Published inarXiv.org
Main Authors W M T D Wijesundara, Wanigathunga, T D, Waas, M N C, Hithanadura, R T, Munasinghe, S R
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 25.10.2023
Subjects
Harvesting
Machine learning
Machine vision
Robots
Spraying
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Summary: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.
ISSN:2331-8422