The consequences of the ecological crisis in the Aral Sea region pose a serious threat to human health, soil fertility, and the environment. In order to mitigate global environmental problems such as climate change, sandstorms, and soil degradation, the expansion of green spaces and the creation of forests in the region remains one of the urgent tasks.
This project - "Smart Machine for Automatic Tree Planting" - is proposed as a technological solution to this problem. It is distinguished by the following topical aspects:
- Serves to restore the ecological balance
The main goal of the project is to expand the green cover in areas affected by ecological degradation, such as the Aral Sea region, through automated tree planting. This increases atmospheric purity and prevents soil erosion. - Resource saving and facilitating human labor.
The primary goal of this project is to design and develop an autonomous, solar-powered tree-planting robot capable of planting and irrigating saplings in arid and ecologically degraded regions—particularly in the areas affected by the Aral Sea disaster. The project aims to integrate advanced robotics, soil sensor technologies, and renewable energy systems to automate the afforestation process and contribute to large-scale environmental rehabilitation.
By implementing intelligent control systems and real-time soil analysis capabilities, the robot will not only plant saplings with precision but also monitor soil moisture and fertility, ensuring optimal conditions for tree growth. Furthermore, the robot will be equipped with dual manipulators: one for planting and the other for targeted irrigation, minimizing water waste and maximizing growth potential.
This project is a sustainable, high-impact solution to address the pressing issue of desertification and climate change by facilitating scalable, labor-efficient, and eco-friendly reforestation initiatives. It also contributes directly to the United Nations’ Sustainable Development Goals (SDGs), particularly:
Goal 13: Climate Action
Goal 15: Life on Land
Goal 7: Affordable and Clean Energy
Through the development of this innovative machine, we aim to transform the traditional tree planting process into a smart, data-driven, and energy-efficient operation that supports both local environmental restoration and global climate resilience efforts.
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About the Entrant
- Name:Abdulatif Abdubannopov
- Type of entry:teamTeam members:
- Abdulatif Abdubannopov
- Rasul Tojiyev
- Abbos Kasimov
- Utkirbek Sotvoldiyev
- Maqsutali Madrakhimov
- Patent status:none