Researchers from Xi’an University of Architecture and Technology, Xidian University, Xi’an Jiaotong University, University of New South Wales, Beijing University of Posts and Telecommunications and Ningbo Weiyuan Optoelectronic Research Institute have developed a machine learning-assisted screening strategy to identify lead-free double perovskite materials tailored for agrivoltaic applications, where photovoltaic performance must be balanced with crop light requirements.