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Our analysis is guided\r\nby the following research questions (RQs):\r\n- RQ1: What are the prevailing trends in field phenotyping literature regarding experimental scales, mea-\r\nsured traits, and deployed technologies?\r\n- RQ2: How prevalent are data sharing practices within the domain, and can these practices be correlated\r\nwith specific experimental settings or technologies?\r\n- RQ3: To what extent are efforts towards FAIR-compliant datasets identifiable in the literature since the\r\nprinciples’ formalization in 2016?\r\n\r\nBy combining bibliometric analysis with a focused assessment of associated datasets and their management,\r\nwe aim to provide a comprehensive overview of both scientific progress and the persisting data bottleneck.\r\nOur goal is to inform future directions for research, infrastructure development, and policy, ensuring that the\r\ndata revolution in field phenotyping finally fulfills its promise for enhancing climate resilience and global food\r\nsecurity."}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Agricultural Sciences"]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Grygosch, Lars"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2025-09-14"}]},"fzj":{"displayName":"FZJ Metadata","fields":[{"typeName":"institute","multiple":true,"typeClass":"controlledVocabulary","value":["IBG-2"]},{"typeName":"pof4","multiple":true,"typeClass":"controlledVocabulary","value":["Not covered by a PoF IV topic 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