Artificial Intelligence (AI) and Machine Learning (ML) have transformed the agricultural sector and will continue to do so. Adopting AI/ML technology has the potential to help meet global food, feed, and fiber demands while promoting sustainable farming practices. However, adoption depends on multiple dimensions of trust, particularly trust in system performance and trust in data governance. In this systematic review, we analyze scientific literature for the current status of trust in AI/ML tech