Using Artificial Intelligence in Agroforestry as an Economic Solution for Carbon Recycling in Tanzania

Abstract

Anthropogenic activities intensify greenhouse gases (GHG) emission. The emissions lead to air pollution, public health risks, and climate change vagaries. Global deaths due to air pollution amounted to 15 deaths/minute in 2016. Moreover, floods, storms, and droughts accounted for 59%, 26%, and 15% respectively of crop losses between 2003 and 2013. Carbon recycling is among efforts to curb GHG which form 75% of GHG. The recycling methods include carbon capture and storage (CCS), carbon capture and utilization (CCU) and carbon capture, storage, and utilization (CCUS). However, these methods are too expensive for developing countries like Tanzania. Agroforestry is a cost-effective carbon recycler compared to other solutions. Besides, the Neem tree has a higher capacity of sequestering carbon at an average of 161% compared to other tree species in the tropics. Application of artificial intelligence can intensify Neem tree-based farming to hasten carbon sequestration.