Innovation has been the transforming tool of precision agriculture as a response to population growth and the demand for more food with quality, less waste, food security, and sustainable management of environmental resources. The challenges are to increase the productivity of cultivated areas, both for current and future areas, to manage the use of potable water, scarce in many regions, to keep the soil fertile, and to reduce waste through reuse, optimization, resource sharing, and operational and strategic management based on accurate information of planting, harvesting, and management of environmental conditions, which are also objectives of the Circular Economy. Therefore, using Industry 4.0 technologies in agriculture becomes fundamental to facing such challenges. This paper presents a systematic literature review on Industry 4.0 technologies adopted in agriculture for sustainable development, considering environmental, economic, and social benefits. The research pointed to the use of IoT in irrigation control systems by sending automatic commands, monitoring soil and weather conditions, in the use of machinery with some automation features and in cloud data storage systems, and with the use of Big Data analytical tools, with access by mobile devices, these uses contribute to operational and strategic decision making in the management of planting and harvesting. However, the literature review did not find a technological architecture for Integrated Services in Agriculture 4.0. Thus, this paper proposes a Service Architecture that enables the promotion of a Circular Economy in Agriculture 4.0. The contribution of this article to the theory is in the expansion of knowledge of the use of technologies in Agriculture 4.0. In terms of practice, this article provides an Integrated Service Architecture so that new products can be developed for Agriculture 4.0 and thus contribute to society in reducing food insecurity, generating environmental, economic, and social benefits, and promoting the Circular Economy in Agriculture 4.0.

This work aims to develop and validate a software architecture that allows the integration of the virtual learning environment with smart technologies that monitor the learner’s concentration in front of learning objects. This is applied research, of an experimental nature, exploratory, qualitative, bibliographic, laboratory, longitudinal, retrospective and prospective approach. Research carried out on scientific work databases found the existence of smart technologies that allow monitoring of a learner, using only the equipment’s camera. It was also found that there are virtual learning environment platforms that support distance learning. However, no proposals for architectures that allow the operationalization of these connections were found. In this context, an architecture called AMBCON (Connection Environment) was developed that interfaces between a virtual learning environment and an environment containing smart technologies that monitor learners. The AMBCON architecture was validated by performing a proof of concept.