Behnaz Amoozadeh, Akram Parandeh, Feryal Khamseh, Mohammad Ali Sheikh Beig Goharrizi
The Effect of Culturally Appropriate Self-Care Intervention on Health Literacy, Health-Related Quality of Life and Glycemic Control in Iranian Patients with Type 2 Diabetes: A Controlled Randomized Clinical Trial
Iranian journal of nursing and midwifery research
tea leaf age quality dataset represents pioneering agricultural machinelearning resource enhance tea leaf classification detection quality prediction based leaf age comprehensive collection includes 2208 raw images historic malnicherra tea garden sylhet two gardens sreemangal moulvibajar bangladesh dataset systematically categorized four distinct classes t1 12 days t2 34 days t3 57 days t4 7 days according agebased quality criteria dataset helps determine tea quality changes age recently harvested leaves t1 exhibited superior quality whereas older leaves t4 suboptimal brewing purposes includes raw unannotated images capture natural diversity tea leaves precisely annotated versions targeted analysis augmented data facilitate advanced research compilation process involved extensive onground data collection expert consultations ensure authenticity applicability dataset tea leaf age quality dataset crucial tool advancing deep learning models tea leaf classification quality assessment ultimately contributing technological evolution agricultural sector providing detailed agestratified tea leaf categorization