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Its new companion journal, Smart Agricultural Technology offers continuity for smart application being applied in manufacturing agriculture. Emotion recognition is actively used in brain–computer interface, health care, safety, e-commerce, schooling and leisure applications to increase and control human–machine interaction. Therefore, emotions affect individuals’s lives and decision-making mechanisms throughout their lives. However, the fact that emotions range from individual to individual, being an summary idea and being depending on inside and external components makes the studies on this subject tough. In recent years, studies based on electroencephalography alerts, which carry out emotion analysis in a extra robust and dependable way, have gained momentum. In this article, emotion evaluation based on EEG signals was performed to foretell optimistic and adverse emotions.
