Today's agricultural sector cannot avoid the need for advanced digital technology, such as robots, artificial intelligence, and the Internet of Things to deal with various agricultural problems that can disrupt national stability. Agro-industrial supply chain management ensures that agricultural products reach consumers in quantity, quality, and safety required. The supply chain includes from farm to consumer, to table, from farmer to processing producer, and distribution to the consumer, as well as other long chains that cover from upstream to downstream. Some of the problems that need to find solutions include a lack of information on raw materials needed in processing, transparency of product sources, information on production processes, information on logistics distribution to consumers, and lack of traceability and traceability (products, quality, documents, costs, halal status, and value chain). Digital transformation along the supply chain must be carried out immediately through:(1) implementation and improvement of traceability systems using blockchain technology, and (2) blockchain integration with smart and rapid tests or Internet of Things (IoT) using Artificial Intelligence (AI) to enhance blockchain intelligence. Smart and rapid tests are needed to detect and identify the substance levels of a product, while the IoT architecture applied along the supply chain connects various supply chain actors to share data. Machine learning and cloud computing are used for data processing and communication networks for information transfer. Blockchain and AI-based digital systems allow consumers to track transaction history and product status in just a few seconds. Blockchain integration with AI will bring about a more reliable system called a smart blockchain.