Utilizing IoT and Machine Learning to Achieve Net-Zero

Net-Zero has been a trendy term in the twenty-first century, appearing in anything from supercars racing on F1 courses to simple cold storage. To minimize the greenhouse gas emissions and carbon footprint from the entire planet, all developed economies and corporations have vowed unprecedented cooperation. IoT-enabled digital services can aid in locating emissions that can be avoided and quicken the shift to a net-zero global economy. AI, analytics, IoT and machine learning, work together to increase operational effectiveness across a variety of businesses while lowering greenhouse gas emissions. According to a recent study by a major telecoms corporation, IoT-enabled technologies may be capable of reducing carbon emissions by 15% by 2030. The possible applications of IoT-based digital solutions to create a sustainable future are explored in this blog.

Benefits of IoT and Machine Learning

Energy-efficient Workplace

Commercial offices and multistory buildings require a significant amount of electricity to operate. The HVAC in these structures is managed by several IoT sensors which helps reduce maintenance expenses and improve resource management. Based on building occupancy, outdoor temperature, humidity, air quality, dynamic energy pricing, etc., data from the sensors may be processed and AI-enabled systems automatically adjust the temperature.

Smart home

Similar to offices, homes can reduce their electricity use by using sensors, a networked analytics system, and smart thermostats. One of the numerous businesses that make a variety of smart thermostats that enable homes to manage their energy use is Bosch. To optimize residential energy use, Hive has released a variety of smart devices, including a smart plug that can be switched off remotely.

Precision agriculture

Approximately one-fourth of all greenhouse gas produced by humans is attributed to agriculture, making it one of the main causes of climate change. After the energy sector, it is the second-largest emitter in the world. IoT technology makes it simpler for farmers to minimize business waste and maximize water and electricity utilization. Connected sensors used in precision farming allow for field management that is site-specific and tests soil and water levels. This is crucial since there are big differences between soil fertility and business management. This technology provides precise levels of care for various regions of the field and helps determine proper fertilizer demands, moisture deficit, etc. According to the World Economic Forum, the adoption of precision agriculture by 15% to 25% of farms will boost world output by 10% to 15% by 2030, while reducing greenhouse gas emissions and water use by 10% and 20%, respectively.