Understanding Climate Tech and IT
Climate tech refers to technologies explicitly designed to combat climate change by reducing greenhouse gas (GHG) emissions, enhancing climate resilience, or both. This includes renewable energy, carbon capture and storage, smart agriculture, and sustainable mobility.
Information technology, on the other hand, encompasses tools and systems that process, store, and transmit information. IT’s versatility allows it to integrate seamlessly into various domains, including climate tech, amplifying its impact.
Data-Driven Decision-Making with AI and Machine Learning
Artificial intelligence (AI) and machine learning (ML) are revolutionizing how we understand and address climate change. By analyzing vast datasets, these technologies can:
- Predict weather patterns: Advanced models powered by ML provide accurate climate forecasts, helping governments and organizations prepare for extreme weather events.
- Optimize renewable energy systems: AI improves the efficiency of wind turbines and solar panels by predicting energy output and identifying maintenance needs.
- Enhance carbon footprint tracking: AI algorithms track and analyze emissions across industries, providing actionable insights for reduction.
AI and ML are also proving invaluable in resource allocation. For example, these technologies can help optimize the use of water and energy resources in urban areas by predicting demand and minimizing waste. This capability is critical as cities face increasing pressure to balance growth with sustainability.
Furthermore, AI-driven models are enabling breakthroughs in climate research by uncovering patterns and correlations in climate data that were previously undetectable. These insights help scientists better understand the causes and effects of climate change, leading to more effective strategies for mitigation and adaptation.
READ ALSO : How IT is Supporting the Rise of Gig Economy Platforms
Study Case In Indonesia
1. eFishery: Smart Aquaculture for Sustainability
- Sector: Agriculture & Aquaculture
- Founded: 2013
- Technology Used: IoT, Cloud Computing, Data Analytics
Indonesia’s aquaculture sector faces challenges such as overfeeding, water pollution, and climate-related risks affecting fish productivity and ecosystem health.
eFishery developed an IoT-powered smart feeding system that automates fish and shrimp feeding based on real-time data. The system optimizes feed usage, reducing waste and environmental impact. The company also offers a digital platform for farmers to access data analytics, financing, and marketplace services.
Impact
- Reduced feed waste by up to 30%.
- Increased aquaculture productivity and profitability.
- Empowered smallholder fish farmers with data-driven tools for sustainable practices.
2. Jejakin: Digital Solutions for Carbon Offsetting
- Sector: Forestry & Carbon Management
- Founded: 2018
- Technology Used: GIS, AI, Blockchain
Indonesia suffers from high deforestation rates, contributing significantly to global carbon emissions. Monitoring and managing forest sustainability is a challenge due to the country’s vast and diverse landscapes.
Jejakin uses geospatial technology and AI to monitor forest health and track carbon footprints. They facilitate carbon offset projects by connecting businesses and individuals with verified reforestation initiatives. Jejakin’s blockchain-based platform ensures transparency in carbon credit transactions.
Impact
- Increased corporate participation in carbon offset programs.
- Improved monitoring of reforestation projects using real-time data.
- Greater accountability and transparency in Indonesia’s carbon market
