Machine learning in fermentative biohydrogen production: Advantages, challenges, and applications

•Biohydrogen data are highly complex and non-linear.•Multiple ML approach are revised and compared for biohydrogen production.•The reinforced machine learning method exhibited precise state prediction.•Guidelines are proposed for the use of machine learning in biohydrogen production.