Deforestation is a driver contributing to the current anthropogenic climate change. The decrease in tree cover often combined with forest fires leads to increased emissions and therefore global warming. It is without doubt that we have to slow down and eventually stop deforestation. Analysis of satellite imagery with Artificial Intelligence can assist in making the search for changes a lot easier and faster. Tree cover changes can be spotted from above and then create a deforestation alert in the Global Forest Watch app. Then, the AI cannot work alone anymore, but needs human help to confirm the alerts.

Since the popularity of ChatGPT, Artificial Intelligence (AI) has been the talk of the town. AI has already proven to be a powerful tool, and this also applies to one of the most important problems of our time: climate change. AI-based solutions offer promising opportunities, such as data-driven insights on optimization and enabling efficient decision-making. AI methods, such as Machine and Deep Learning, not only help with energy efficiency and natural resource management but also enhance climate modelling and predictions. If this interests you, check out our additional material for an overview of AI-based solutions in climate change.

Peatlands drained for agriculture emit greenhouse gases and fuel climate change. In Mecklenburg-Western Pomerania, more than a third stem from organic soils, which in turn implies a large mitigation potential. Water buffalos are an option to cultivate peatlands in a wet way as the undemanding animals love standing water to wallow in it. In Germany, grazing with water buffalo is primarily established in landscape conservation as it has positive impact on biodiversity as well. Although there are challenges, farmers converting their business can benefit from a wealth of experience and get EU subsidies for this wet management of peatlands.

The changing climate and growing world population result in a competition for land use for food and energy production. Agrivoltaics, the simultaneous use of land for both agriculture and photovoltaics, presents a potential solution. These systems offer benefits such as crop protection, water conservation, and renewable energy generation within the water-food-energy nexus. However, implementing agrivoltaics faces challenges, particularly in Germany. Nevertheless, agrivoltaics have significant potential in the energy transition as vast agricultural areas could be transformed, potentially generating solar energy exceeding Germany's consumption.

Nowadays, we look to Artificial Intelligence to solve many problems. One of these applications is the reduction of the carbon footprint, were AI especially in the industry are used to reduce the footprint of products or whole companies.