Insights into Artificial Intelligence Bias: Implications for Agriculture

The integration of Artificial Intelligence (AI) has catalysed a paradigm shift in agricultural practices, revolutionising critical aspects of contemporary farming methodologies. In recent years, discrimination has become a significant topic of controversy in the use of AI-based systems. As AI becomes increasingly integrated into agriculture, the potential for bias within these systems raises significant concerns, as biases can affect farming practices, crop management, resource allocation, and the broader agricultural economy. Mitigating these issues is vital to ensure equitable access to technology, enhance farming practices for all, and foster sustainable and inclusive food production systems. This manuscript provides an extensive review of the literature on biases and fairness in AI focusing on the field of agriculture and the need for a holistic and inclusive approach to mitigate AI biases, ensuring that AI advancements benefit a broad spectrum of farming communities while promoting sustainability and equity.