LEVERAGING EDGE COMPUTING AND DEEP LEARNING FOR THE REAL-TIME IDENTIFICATION OF BEAN PLANT PATHOLOGIESBEAN PLANT PATHOLOGIES DATASET FOR DEEP LEARNING TASKS

Beans are essential crops globally, standing out as one of the most consumed and nourishing legumes, thereby playing a significant role in human nutrition and food security.Their cultivation faces several challenges, such as pests, diseases, unpredictable weather patterns, and soil erosion.Of these challenges, diseases are recognized as a key chall

Objective: The human body loses flexibility and durability from the pathophysiological changes of aging; therefore, trauma and the risk of injury increase in geriatric individuals.Elderly patients who have been admitted to health centers with trauma and injury require a serious treatment approach.Materials and Methods: A total of 15851 victims who

The study of gaze responses, typically using looking time paradigms, has become a popular approach to improving Jewelry our understanding of cognitive processes in non-verbal individuals.Our interpretation of data derived from these paradigms, however, is constrained by how we conceptually and methodologically approach these problems.In this perspe

The objective of this study was to evaluated fermentation losses and silage quality with the addition of different by-products in TMR.A completely randomized design was used with four treatments: Control (CTL, with hay, corn silage, cracked corn, soybean meal, wheat bran and minerals); CTL plus the addition of fresh orange pulp (FOP); CTL plus soyb