The emergence of precision agriculture (PA) has brought a radical change in the agriculture sector and significantly contributed to agronomic development. In recent years, academic research on PA has increased at an unprecedented pace. However, a comprehensive picture of how PA can benefit the agriculture sector is still lacking. In addition, there is a clear scarcity of studies on PA that evaluate the impact of this paradigm on agriculture resources and inform practitioners about the importance of data-driven farming and agriculture. Therefore, we attempted to employ a bibliometric method to ascertain the current state-of-the-art and dynamics of PA. The findings of the analysis highlighted four distinct phases and the most predominant enabling technologies in PA. Additionally, we reviewed the key trends and put forth insightful recommendations for future research by researchers and practitioners. In terms of contributions, this review developed an integrative framework comprising PA-related technologies, PA application areas, and PA advantages. Furthermore, the challenges of PA were identified and categorized into four broad groups. Finally, the study's novelty resides in its systematization of the PA literature and its recommendations of several research directions for advancing PA in the agriculture sector.

Food production, processing and preservation have all advanced significantly over the years. Despite this, the safety and quality of food have been questioned in the aftermath of a long series of food frauds and food safety crises. Adding to the existing complexities related to food safety management and food fraud mitigation, calls for a stronger focus on sustainability have gradually increased in response to the negative effects of climate change and system shocks such as the COVID pandemic. These calls are exacerbated by claims of excessive water consumption for food animals and crops as well as toxic discharges. To meet the expectations of an expanding global population, there is an urgent need to leverage new technologies and embrace digital transformation in order to improve sustainability across the food industry. In this context, smart logistics emerges as an innovative paradigm for integrating novel technologies and realising the potential of cyber-physical systems to improve food logistics operations. Additionally, smart logistics has the potential to improve food chain transparency and ensure timely delivery of perishable food while increasing flexibility and improving efficiency. This chapter discusses emerging technologies that serve as a foundation for smart logistics and are critical enablers for the development of a sustainable food industry. It is primarily focused on a variety of food logistics operations, including warehousing, transportation, and distribution. Technological advancements such as the Internet of Things (IoT), Big Data Analytics (BDA), Blockchain Technology (BT), and Artificial Intelligence (AI) are discussed.

The value creation potentials of blockchain technology have attracted significant attention from academia and industry. To address how blockchain technology could impact value creation at the business level, this study adopted an inductive multiple case study approach. As part of this focus, fifty-five (55) cases were selected based on maximum-variation and theoretical sampling methods. Selected cases were investigated by conducting with-in case analysis, constant comparative analysis, cross-case analysis, and synthesis and thematic analysis methods. Initially, potential sources of value creation were explored and then the business model innovations were examined to exploit pre-identified value drivers. The findings revealed that blockchain has five potential sources of value creation, including access domain extension, cost reduction, reinforcement and enrichment, new business practices, and social base enrichment. Further, several business model innovations were proposed based on the data-driven exploration to help practitioners exploit identified opportunities or value drivers. This study not only applies the current body of strategic, economics and entrepreneurship knowledge in a new field, but it also adds conceptually and empirically to the current body of blockchain literature. Furthermore, business practitioners could increase their understanding of blockchain’s opportunities to address current business challenges, make operations more efficient, foster innovation, and co-create value with stakeholders.

Technological advances such as blockchain, artificial intelligence, big data, social media, and geographic information systems represent a building block of the digital transformation that supports the resilience of the food supply chain (FSC) and increases its efficiency. This paper reviews the literature surrounding digitalization in FSCs. A bibliometric and key-route main path analysis was carried out to objectively and analytically uncover the knowledge development in digitalization within the context of sustainable FSCs. The research began with the selection of 2140 articles published over nearly five decades. Then, the articles were examined according to several bibliometric metrics such as year of publication, countries, institutions, sources, authors, and keywords frequency. A keyword co-occurrence network was generated to cluster the relevant literature. Findings of the review and bibliometric analysis indicate that research at the intersection of technology and the FSC has gained substantial interest from scholars. On the basis of keyword co-occurrence network, the literature is focused on the role of information communication technology for agriculture and food security, food waste and circular economy, and the merge of the Internet of Things and blockchain in the FSC. The analysis of the key-route main path uncovers three critical periods marking the development of technology-enabled FSCs. The study offers scholars a better understanding of digitalization within the agri-food industry and the current knowledge gaps for future research. Practitioners may find the review useful to remain ahead of the latest discussions of technologyenabled FSCs. To the authors’ best knowledge, the current study is one of the few endeavors to explore technology-enabled FSCs using a comprehensive sample of journal articles published during the past five decades.

This study investigates how wireless sensor network (WSN) applications in agriculture are discussed in the current academic literature. On the basis of bibliometric techniques, 2444 pub-lications were extracted from the Scopus database and analyzed to identify the temporal distribution of WSN research, the most productive journals, the most cited authors, the most influential studies, and the most relevant keywords. The computer program VOSviewer was used to generate the keyword co-occurrence network and partition the pertinent literature. Findings show the remarkable growth of WSN research in recent years. The most relevant journals, cited countries, and influential studies were also identified. The main results from the keyword co-occurrence clustering and the detailed analysis illustrate that WSN is a key enabler for precision agriculture. WSN research also focuses on the role of other technologies such as the Internet of Things, cloud computing, artificial intelligence, and unmanned aerial vehicles in supporting several agriculture activities, in-cluding smart irrigation and soil management. This study illuminates researchers’ and practition-ers’ views of what has been researched and identifies possible opportunities for future studies. To the authors’ best knowledge, this bibliometric study represents the first attempt to map global WSN research using a comprehensive sample of documents published over nearly three decades.