Develop a solution where technology can be utilized to promote and incentivize sustainable practices and reduce environmental impact in urban areas.
Current urban areas face significant environmental challenges, marked by excessive resource consumption, pollution, and inadequate waste management. Insufficient adoption of sustainable practices exacerbates climate change and depletes natural resources. To address this, leveraging technology is crucial to incentivize and promote eco-friendly behaviors, resource-efficient infrastructure, and smart solutions that reduce the overall environmental footprint of urban living.

Software Solutions for Climate Change Challenges.
Develop software solutions to efficiently collect, analyze, and make decisions based on data, addressing the complexities of climate change. These solutions should help organizations and communities mitigate emissions, adapt to environmental changes, and collaborate effectively on global climate initiatives.

Develop a solution where data analytics and IoT technologies be used to monitor and optimize resource consumption and environmental impact.
In the current scenario, there is a lack of comprehensive monitoring and optimization of resource consumption, leading to inefficient use and increased environmental impact. Leveraging data analytics and IoT technologies, there is a need to develop systems that can accurately track and analyze resource usage in real-time. This will enable proactive decision-making, optimize resource allocation, and significantly reduce the environmental footprint of various processes, contributing to a more sustainable and resource-efficient future.

Create a solution promoting sustainable agriculture practices to ensure food security while minimizing soil erosion, water usage, and chemical pollution.
Current agricultural practices pose a threat to food security due to soil erosion, excessive water usage, and chemical pollution. To address this, there is a pressing need for innovative solutions that promote sustainable agriculture, integrating advanced technologies and practices to enhance productivity while minimizing environmental impact, ensuring a resilient and secure food supply for the growing global population.

IoT-Based Pest Monitoring System for Sustainable Agriculture.
Create an IoT-based system integrated with machine learning algorithms to enable real-time pest monitoring for farmers. This system aims to detect pest outbreaks promptly, implement precise control measures, and reduce pesticide usage, thereby supporting eco-friendly pest management in agriculture.

OPEN INNOVATION.
Participants are open to come up with a problem statement in Agrotech and Sustainable Development domain by themselves and develop an innovative solution.