Smart Greenhouse Towers use artificial intelligence, cameras, and sensors to monitor and maintain optimal conditions for plant growth. It would be an autonomous environment that would respond to humidity, temperature, light, pH, soil fertility, and plant diseases, among other conditions. Machine learning and more data allow the system to continuously improve its responses and analytics regarding profits, plant health, and more. A mobile application allows one to manipulate these conditions and make implementation more manageable. These towers can be used by farmers to optimize food production year-round while using less land and reducing transportation, both contributing to greenhouse gas emissions. It also does not rely on processes to predict erratic forecasts and the limited time most countries have to grow the subtropical fruits and vegetables humans generally consume. By limiting transportation and increasing product yield, food will become more readily available at an affordable price. These towers would also create more profitable businesses and reduce labor-intensive processes, improving productivity. Furthermore, they are versatile, can be implemented in the buildings of urban areas, and can resist power outages with renewable energy such as solar power. Most importantly, the implementation of these towers would promote carbon sequestration through photosynthesis.