Integrating explainable artificial intelligence and blockchain to smart agriculture: Research prospects for decision making and improved security

Abstract

Food safety hazards can be discovered and avoided using XAI and blockchain technology. The immutable and transparent ledger of blockchain technology can be used to maintain track of perishable food items, allowing for more rapid and precise detection of contamination and immediate removal from shelves. Using blockchain technology, smart agriculture can streamline the supply chain by connecting farmers directly with their customers. As a result, community members may be more confident in meeting their own dietary needs. Combining XAI, blockchain, and smart agriculture has far-reaching societal and economic implications. More efficiency, openness, and sustainability in the food chain might benefit farmers, consumers, and the world. This study provides a detailed bibliometric overview and visualization of integrating two prominent and promising technologies, explainable AI and Blockchain, into Smart Agriculture. In this study, the author implemented analysis in four phases, and for each phase, the author chose different strings, which provided different analysis results. 2479 articles are taken for “smart agriculture”, 103 articles for “Smart agriculture and blockchain”, 37 articles for “blockchain and explainable,” and finally, seven articles for “smart agriculture and explainable AI”. In this study, the mapping program VOSviewer is used for Network analysis. This study uses the co-occurrence, co-citation, and bibliographic coupling employed in VOSviewer to uncover significant focus areas and prominent authors and publications. By using a variety of publications, research was conducted on vital topics for this integration; as a consequence, influence and collaborations began to take place, ultimately leading to development.