Inclusively Advancing Agri-Food Systems through AI and Automation

Artificial Intelligence (AI) and automation are increasingly being recognized as transformative tools in agri-food systems across low and middle-income countries (LMICs). These technologies are adept at performing complex tasks traditionally executed by humans, including pattern recognition, autonomous machine operation, and interactive communication. Their application is expanding rapidly, offering solutions for personalized digital advisory services and other innovative functions that enhance agricultural productivity and efficiency.

The study highlights the potential of AI and automation to significantly improve agricultural outputs and processes. For instance, the use of AI in managing farm inputs, weather forecasting, and enhancing supply chain efficiencies has shown considerable promise. Notably, technologies like on-farm management systems and financial and risk management tools are becoming more accessible to small-scale producers (SSPs), aiding in their economic and social empowerment.

However, the adoption of these technologies is predominantly skewed towards larger and more commercially oriented producers, with a concentration of solution providers in countries like India, Kenya, and Nigeria. Challenges such as connectivity, trust in technology, and affordability hinder broader uptake among smaller producers.

To ensure equitable benefits, the study advocates for innovative delivery models that address these barriers and promote inclusive use of AI and automation. This approach not only supports the economic and social empowerment of SSPs but also aligns with global objectives for sustainable development and food security.