What are the sample entries for the Scientific Innovation Contest 2025 in Vietnam? What are the rights of students participating in scientific research in Vietnam?

SMART WATER RESOURCE MONITORING AND MANAGEMENT SYSTEM

1. Introduction Water resources are facing serious risk of depletion due to climate change, pollution, and over-exploitation. To address this issue, we propose a smart water resource monitoring and management system that applies IoT (Internet of Things) and artificial intelligence (AI) to optimize water usage and protection.

2. Objectives

- Build a real-time water quality and flow monitoring system.

- Provide accurate data to assist authorities and residents in adjusting water usage.

- Early warning of risks of water depletion or pollution.

3. Implementation Methodology

- IoT Sensors: Sensors measuring turbidity, pH, dissolved oxygen, and water flow will be installed at key water sources (rivers, lakes, wells, water supply systems).

- Artificial Intelligence: AI will analyze sensor data to detect pollution or depletion trends in water sources.

- Mobile and Web Applications: Residents can monitor real-time water quality and receive alerts.

- Advisory System: Propose water-saving and protection measures based on collected data.

4. Practical Application

- The system can be deployed in urban, rural, and drought-prone areas.

- Assist authorities in decision-making about water supply and environmental protection.

- Help residents raise awareness and take proactive steps in water usage.

5. Conclusion The smart water resource monitoring and management system is a feasible solution, contributing to water protection, enhancing quality of life, and sustainable development. We aim to continue improving and expanding the project for more effective contributions to national water resource protection.

SUSTAINABLE AGRICULTURE WITH A SMART FARMING SYSTEM

1. Introduction Agriculture plays a crucial role in ensuring food security but faces many challenges such as climate change, depletion of land and water resources, and excessive reliance on agricultural chemicals. To tackle these issues, we propose a smart farming system applying IoT technology, AI, and organic farming methods to enhance efficiency, protect the environment, and ensure sustainability.

2. Objectives

- Minimize waste of water resources and chemical fertilizers.

- Enhance the use of organic solutions to improve soil fertility.

- Increase agricultural production efficiency through automation technology.

3. Implementation Methodology

- IoT Sensors: Moisture, temperature, and nutrient sensors will be installed to monitor real-time farming conditions.

- Artificial Intelligence: AI analyzes sensor data to suggest optimal irrigation and fertilization schedules.

- Organic Farming Techniques: Apply crop rotation, intercropping, and use bio-fertilizers to maintain soil fertility.

- Automatic Irrigation System: Minimize water waste by precise irrigation according to crop needs.

4. Practical Application

- Can be deployed in large-scale agricultural production areas or household scales.

- Reduce production costs and increase farmers' profits.

- Limit negative impacts on the environment, maintaining long-term agricultural land use.

5. Conclusion The smart farming system combining modern technology and organic methods is a feasible solution to enhance agricultural production efficiency, minimize negative environmental impacts, and move towards sustainable agriculture.

PLASTIC WASTE RECYCLING SOLUTION USING GENETICALLY MODIFIED BACTERIA

1. Introduction Plastic waste is one of the most serious environmental issues today. Plastics take hundreds of years to decompose, severely affecting ecosystems and human health. To find an effective solution, we propose using genetically modified bacteria capable of rapidly and environmentally friendly decomposing plastics.

2. Objectives

- Develop bacterial strains capable of decomposing plastics in a short time.

- Apply biotechnology in the process of handling plastic waste.

- Reduce the amount of residual plastic waste in the environment.

3. Implementation Methodology

- Research plastic-decomposing bacteria: Select bacterial types with the ability to naturally digest plastics like Ideonella sakaiensis.

- Genetic Modification: Intervene in the genome to enhance decomposition efficiency and adaptability to different plastics.

- Real-world Testing: Evaluate bacterial performance on plastic waste samples in labs and natural environments.

- Application Process Development: Create industrial-scale plastic waste treatment systems based on microbial technology.

4. Practical Application

- Reduce environmental pollution caused by plastic.

- Develop sustainable plastic waste treatment methods, replacing landfill or incineration that cause pollution.

- Broad application potential from households to industrial scales.

5. Conclusion The use of genetically modified bacteria to recycle plastic waste is a promising direction, contributing to solving environmental pollution issues sustainably. We wish to continue research to perfect this solution, aiming for a greener future for our planet.