Maize will continue to expand and diversify as an industrial resource and a feed and fuel crop in the near future. The United Nations estimate that in 2050 the global population will reach 9.7 billion people. In this context, food security is increasingly being discussed. Additionally, another threat to food security is global warming. It is predicted that both the quantity and the quality of crops will be seriously affected by climate change in the near future. Scientists and breeders need to speed up the process of creating new maize cultivars that are resistant to climate stress without diminishing yield or quality. The present paper provides a brief overview of some of the most important genomics tools that can be used to develop high-performance and well-adapted hybrids of maize and also emphasizes the contribution of bioinformatics to an advanced maize breeding. Genomics tools are essential for a precise, fast, and efficient breeding of crops especially in the context of climate challenges. Maize breeders are able now to develop new cultivars with better traits more easily as a result of the new genomic approaches, either by aiding the selection process or by increasing the available diversity through precision breeding procedures. Furthermore, the use of genomic tools may in the future represent a way to accelerate the processes of de novo domestication of the species.

The goal of this paper is to present the benefits of digitalization and Internet of Things applied in various fields of industry, including in cereal reception bases. Using Waterfall Methodology, this article widely describes the project plan of a web-based application which has the role of monitorization the grain storage sheds from perspective of temperature, humidity, pressure, and motion. Using microprocessor-based systems and distinct types of sensors such as temperature, humidity, pressure and motion, the information collected from the grain storage hall is displayed on a web-based application so that operators of the base easily can monitor these parameters.

The aim of this article is to present monitoring system management using the AGILE SCRUM Methodology and microprocessors based systems for temperature monitorization of a grain reception base for organic wheat. In this article is presented the well-detailed proof of concept for a web-based temperature monitoring system, using Arduino and temperature sensors for temperature monitorization and AGILE SCRUM Methodology for software development management. In this way, the operators from grain reception base will be able to monitor the temperature from different halls, build from different materials, remotely.

Hop and Medicinal Plants Journal is in its 30th year of life. It has been published since 1993 under the auspices of the Hop and Medicinal Plants Crop Research Centre (HMPCRC) of the University of Agricultural Sciences and Veterinary Medicine (UASMV) Cluj-Napoca. This centre has been operating for three decades, based on the Senate Decision of UASMV Cluj-Napoca from 6.12.1993, and was subsequently confirmed by the UASMV Cluj-Napoca Senate Decision in 25.10.2005. The establishment of this research centre was based on the activity performed and the results obtained at the Cluj Phytotechnics regarding hops and medicinal plants, the activity of the centre representing a superior stage of research in these fields.