Slightly preceding the global momentum towards regenerative agriculture has been a focus on the digitalization of agriculture. It offers benefits like higher farm incomes, improved environmental outcomes, and better commercial viability when working with smallholder farmers. Research suggests that digital agriculture could boost the agricultural GDP of low- and middle-income countries by more than $450 billion, or 28% per annum….
Regenerative agriculture relies on tailored practices developed by research universities. Delivering these practices through extension agents is costly, and [AI] models can make advice specific to farms based on localized data. Furthermore, AI-enabled language translations can enable delivery in local languages in a cost-effective manner, making them more accessible across regions.
A barrier to regenerative agriculture is the lack of financial incentives to make the shift. Financial incentives such as payment for carbon sequestered is complex owing to the high costs of monitoring and making payouts. However, recent pilots using sensors for soil health measurement and AI-enabled smart contracts have made payments faster, error-free, and cost-effective….
