Abstract
Climate change and global warming interconnected with the new contexts created by the COVID-19 pandemic and the Russia-Ukraine conflict have brought serious challenges to national and international organizations, especially in terms of food security and agricultural planning. These circumstances are of particular concern due to the impacts on food chains and the resulting disruptions in supply and price changes. The digital agricultural transition in Era 4.0 can play a decisive role in dealing with these new agendas, where drones and sensors, big data, the internet of things and machine learning all have their inputs. In this context, the main objective of this study is to highlight insights from the literature on the relationships between machine learning and food security and their contributions to agricultural planning in the context of Agriculture 4.0. For this, a systematic review was carried out based on information from text and bibliographic data. The proposed objectives and methodologies represent an innovative approach, namely, the consideration of bibliometric evaluation as a support for a focused literature review related to the topics addressed here. The results of this research show the importance of the digital transition in agriculture to support better policy and planning design and address imbalances in food chains and agricultural markets. New technologies in Era 4.0 and their application through Climate-Smart Agriculture approaches are crucial for sustainable businesses (economically, socially and environmentally) and the food supply. Furthermore, for the interrelationships between machine learning and food security, the literature highlights the relevance of platforms and methods, such as, for example, Google Earth Engine and Random Forest. These and other approaches have been considered to predict crop yield (wheat, barley, rice, maize and soybean), abiotic stress, field biomass and crop mapping with high accuracy (R2 approximate to 0.99 and RMSE approximate to 1%).

Abstract
The Brazilian oil industry is facing a period of significant techno-economic challenges to meet the increase in reserves and production in ultra-deep waters. The subsea production system is an essential technological frontier to ensure the technical and economic viability of oil fields. Thus, the use of digital technologies fits in with these goals and already shows promising results, which stimulate companies in the development of digitalization. For this, the main aim of this chapter is to investigate the role of digital transformation to the subsea productive system of the Brazilian oil industry. By using the analytical and theoretical framework of innovation system, the author explores the relevance, capacity, and strategy developed for the use of digital transformation into subsea production system activities. It was possible to identify the critical features of techno-economic development and conclude that despite the existing capacity, coordination, interactions, and funding are issues to be promoted and improved.

Abstract
This study aims to conceptualise the risks of a co-creation relationship between providers and customers in the front end of innovation (FEI). The existing literature on the topic of the interactions between customers and providers is vast but mostly reflects the vision of each respective field of science addressing specific issues and dynamics. This review paper combines integrative and generative approaches (Post et al., 2020). The narrative overview methodology (Green et al., 2006) fits the purpose to integrate the contributions of scholars from different areas and with distinct perspectives. The authors present a comprehensive view of the complex and, sometimes, conflictual customer-provider relationship in a business-to-business (B2B) context applied to the FEI. The review, mostly focused in the service industry, included the identification of inconsistencies and poorly explained phenomena. This work contributes decisively to the innovation, management and organisation literature, advancing a model of the projected risks of the specific customer-provider relationship in the FEI phase.

Abstract
The coronavirus disease 2019 (COVID-19) pandemic has created strong pressure on national health critical care systems. After its initial impact in Asia, the highest case growth is now in the Americas. The South American countries face a strong challenge due to the vulnerabilities of their health systems and the fragile socio-economic conditions of their population. This perspective looks at the impact of COVID-19 in South America and argues that the health critical care systems of these countries are particularly vulnerable due to the underestimation of the number of cases currently confirmed and the strong need for treatment of these patients in intensive care units (ICUs). In particular, Bolivia will need to increase the number of ICU beds 60-fold while Brazil will need to grow 12-fold to meet the growth rates of COVID-19 by the end of July 2020. In this sense, it is argued that national and transnational measures should be taken urgently to face this challenge. Furthermore, it is necessary to perform tests to detect COVID-19 cases earlier to alleviate the need for internment in ICUs.

Abstract
Information and communication technologies have contributed decisively to the evolution of the agriculture field, allowing the exchange of information between various platforms, the automation of processes, and the storage and processing of large volumes of data. This study proposes the development of an application for mobile devices that facilitates the process of managing and monitoring the production of an urban farming. The application can also be used by less experienced farmers by providing relevant information on the best products per season according to soil characteristics and climate. The results of the developed application demonstrated the application's potential to increase crops visibility, increase efficiency throughout the value chain, access to real-time business and financial data, turns possible to customize the application according to the users' profile, increase the efficiency of marketing processes, and contribute to reducing transport costs.

Abstract