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

arXiv: https://arxiv.org/abs/2310.16812 · HTML: https://mlsanity.com/paper/2310.16812/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Oct 2023.

## Built on by (most cited first, 2 of 2)

- [FedRobo: Federated Learning Driven Autonomous Inter Robots Communication For Optimal Chemical Sprays](https://mlsanity.com/paper/2408.06382/) (2024)
- [An Intelligent Water-Saving Irrigation System Based on Multi-Sensor Fusion and Visual Servoing Control](https://mlsanity.com/paper/2510.23003/) (2025)

## Abstract (arXiv)

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.