Distributed ledger technology applied to Big Data in agriculture presents challenges and opportunities. Opportunities exist to solve decades-old farm data management problems. Real-world examples of applying distributed ledger technology to current farm data problems in cotton include (1) yield monitor data quality assurance, (2) sustainability metrics and resource tracking of cotton lint quality data from ginner back to subfield locations, and (3) increasing supply chain coordination by providing more information to warehouse managers. The culmination of the discussion across three aspects of cotton production data is of interest to farmers, researchers, policy makers, and consumers.

中文翻译：

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分布式账本技术解决的三个棉花数字农业问题

应用于农业大数据的分布式账本技术带来了挑战和机遇。存在解决数十年之久的农场数据管理问题的机会。将分布式账本技术应用于当前棉花农场数据问题的实际示例包括（1）产量监测数据质量保证，（2）从轧花厂到子田位置的棉皮质量数据的可持续性指标和资源跟踪，以及（3）通过向仓库经理提供更多信息来加强供应链协调。棉农、研究人员、政策制定者和消费者对棉花生产数据三个方面的讨论达到高潮。