2025 AIChE Annual Meeting

(180am) Transforming Food Production with AI-Driven Sustainability

Authors

Emmanuel Dada, ChemProcess Technologies (CPT), LLC
As a major contributor to global greenhouse gas (GHG) emissions, the food industry is crucial to the global climate agenda. It encompasses a wide range of activities from farming to disposal, each contributing significantly to the sector's carbon output. Innovations in artificial intelligence (AI) are now playing a pivotal role in reducing this footprint and promoting sustainability. This study aims to investigate how AI-driven technologies are transforming food production into a more sustainable practice that meets rising global food demands while reducing environmental impacts. Through qualitative research, this study analyzes the implementation and outcomes of Better Origin's X1 units. The units utilize AI to control environmental conditions and optimize the growth of black soldier fly larvae, which convert food waste into high-quality feed. The study draws data from corporate case studies and sustainability reports to assess the impact of this technology on reducing food waste and GHG emissions. Better Origin's X1 units have proven effective in creating a circular food economy. By converting organic waste into nutrient-rich feed, these units not only reduce the food industry’s carbon footprint but also offer a sustainable alternative to traditional feedstock like soy and fishmeal, which are often associated with deforestation and overfishing. AI-powered insect farming by Better Origin's X1 units represents a critical advancement in sustainable feed production, with significant implications for the food industry's approach to environmental stewardship. The resultant carbon-neutral eggs exemplify how innovative feed solutions can lead to greener consumer products, aligning with global efforts to mitigate climate change and promote sustainable food systems.