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Open innovation is a new paradigm for the development of agribusiness in Romania and the Danube macro-region. Studies on agro-food chains and clusters are still scarce. In the Romanian agro-food sector, 7 regional and cross-regional clusters are very active. This study aims to present the state of the art on open innovation in agribusiness in Romania, identifying how it is adopted, the role of clusters and the factors that influence this process, a collaborative platform for agro-food clusters and their members and future research possibilities. Is a need for internal organizational changes, the support of communication tools and an intellectual property model that encourage knowledge sharing. The main obstacles to the implementation of the digitization process in the agro-food sector are lack of expertise, high costs or in compatibility with the field of activity. Open innovation is a field that needs to be explored in different links in the chain, clusters being facilitators of this process. The challenges of agribusiness today demand more complex and systemic innovations that can be achieved through more open processes of product development. Clusters from agro-food sector are increasingly opening their innovation processes, streamlining their research and development activities with the expectation of better results. In general, the main barrier in establishing innovation alliances refers to the inherent risk of knowledge sharing, which creates a lack of trust between partners. The study could be a good practice model for other countries from the Danube macro-region. [ABSTRACT FROM AUTHOR]

The importance of computers has become very popular, the interaction between man and machine is indispensable every day. People's need and desire to communicate with machines naturally led to the evolution of natural language processing. While progress is being made in this area, it is likely that voice interaction systems will replace most portable and digital devices such as keyboards, card readers, etc. This paper presents the main paradigms for speaker recognition, being one of the most important and needed biometric feature and it also focuses on the use of these biometric technology for interactive voice response system for agriculture assistance to farmers. Agriculture has been the primary occupation of human being. Generally farmers do not have the scientific information or competence to find out the cause and solution of any situation that could appear as diseases of their animals or even crops, behavioral features etc. They could have difficulties with understanding machine language or even typing. To facilitate the farmer’s access to information regarding the solution of a specific kind of livestock or crops matter this paper proposes a concept of an interactive voice response system through their mobile phones; a model with voice response in many languages. This model will be advantageous in following conditions: for people with disabilities, people with few PC knowledge or even those who are very busy. Biometric recognition or, simply, biometrics refers to the automatic recognition of individuals based on their physiological and/or behavioral characteristics. The voice is a physiological feature (each person has a different vocal tract), but the recognition of a speaker is mainly based on the study of how it speaks, usually classified as behavioral. Speech recognition is a multi-application domain: security of any kind, telecommunication, daily activities, and now it could be used in agricultural situation. Speech Recognition summarizes a variety of issues such as recognizing isolated words, identifying speakers based on their voice tag, recognizing phonemes, etc. The utility of identifying people based on their voice is growing with the development of automation and telecommunication, and, also regarding the new-entry telephone line applications, the need to recognize the speaker has become more pressing. Speech recognition has a particularly high applicability due to the fact that this method is non-intrusive, universally accepted, with acceptable accuracy, and speech samples are easily sampled either by phone or by microphone. [ABSTRACT FROM AUTHOR]