MUHAMMAD UMAR QAYYUM BIN MOHAMAD RUSLI SM SAINS TUANKU MUNAWIR
E-mposter is an automated composter utilizing aerobic microbes with Artificial Intelligence and a cloud-database system. The current problem is the high percentage of greenhouse gas emissions (GHG), specifically methane, that is being produced in large landfills by anaerobic digestion. The US-EPA estimates that 13% or 36.7 million tonnes of total GHGs come from landfill emissions. Eco-fusion composter consists of an agitation motor, gas sensor, ESP-32, NPK-Ph sensor and carbon filter exhaust. The function of the agitation motor is to introduce oxygen, allowing aerobic microbes to develop. We have developed a formula to determine compost readiness through the usage of a gas sensor. The initial state of the aerobic process produces a high amount of CO2, and eventually, it will deplete to almost zero. Thus, alerting the user through the ESP-32 to notify the user that the compost is ready. The NPK-Ph sensor will monitor the nutrient levels alongside AI integration to produce a graph stating the nutrient level along the process thus helping analysis over the compost. The product of Ecofusion is enriched compost alongside liquid fertilizer collected in the bottom liquid reservoir. An experiment was conducted to compare GHG produced in both processes. The result was that the GHG released by anaerobic composting is higher than the product from Ecofusion (aerobic decomposition). For future developments, we aim to enlarge the compost bin and develop an app for nutrient monitoring. Overall, Ecofusion-Composter helps reduce GHG emissions and contributes to the UNFCCC target of a 1.5°C decrease by 2050.