| Issue |
ITM Web Conf.
Volume 80, 2025
2025 2nd International Conference on Advanced Computer Applications and Artificial Intelligence (ACAAI 2025)
|
|
|---|---|---|
| Article Number | 03014 | |
| Number of page(s) | 6 | |
| Section | Robotics, Autonomous Systems & Sensor Fusion | |
| DOI | https://doi.org/10.1051/itmconf/20258003014 | |
| Published online | 16 December 2025 | |
Robotic autonomous systems for unconstructed land reclamation and preparation
Shenzhen Sendenlta internation school, Shenzhen, 518000, China
* Corresponding author: Rexyuyi@163.com
Today, a large portion of the world’s land remains unused or has been abandoned after being previously abused unsustainably. These lands represent untapped potential for agricultural production, though reclaiming their productivity could prove to be very challenging. New technologies are being developed that offer potential solutions, such as automated robotic systems, which may replace some labor input. Automated robotic systems for key agricultural practices, such as sowing, irrigation, and harvesting requires the deployment of technological solutions, which depend on precision and efficiency. In principle, an automated system could significantly boost precision and efficiency in sowing seed, and with efficient watering/irrigation; however, we are limited with existing robotic systems. In addition to automating key agricultural practices that require precision, automated sensors with data collection technologies allow continuous monitoring of field conditions, and relay that information in real time. Continuous real time monitoring provides the basis for informed decisions and optimal resource use, and adaptive decision making, resulting in continual gains in land productivity. Under-utilized lands can become productive and sustainable by incorporating robotics and artificial intelligence into modern agriculture, increasing both productivity and sustainability.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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