The article analysed the main reflections presented by experts from different countries in the area of AI in education, who participated in the round table debate “E-Learning and Enhancing soft skills: Contemporary Models of Education in the era of Artificial Intelligence”. The agenda included three topics: 1) E-learning and enhancing soft skills: contemporary models of education in the era of artificial intelligence; 2) Good practice examples using AI in education for soft skills development; 3) AI – perspectives and challenges of its use in education. The conclusions of the round table lead to the reflection that integrating AI and robots can enhance soft skills development and revolutionize education by creating personalized, efficient, and inclusive learning environments. AI offers benefits like task automation, real-time feedback, and support for diverse needs. However, challenges such as equity, privacy, bias, and ethical concerns must be addressed. Success requires adequate teacher training, a focus on equity and accessibility, ethical considerations, strong data protection, and maintaining human interaction and creativity. By addressing these challenges thoughtfully, education systems can fully harness AI’s potential to improve learning outcomes.

This paper presents a short description of an automated proximal aerial image-based vine disease detection approach, developed specifically for the region of the Carpathian Basin. Particular focus is given to the description of the applied Convolutional Neural Network architecture. Several experimental results are shown comparing results obtained from data collected in different geographical regions.