TOMATO QUALITY CLASSIFICATION BASED ON TRANSFER LEARNING FEATURE EXTRACTION AND MACHINE LEARNING ALGORITHM CLASSIFIERS

Tomato Quality Classification Based on Transfer Learning Feature Extraction and Machine Learning Algorithm Classifiers

The demand for high-quality tomatoes to meet consumer and market standards, combined with large-scale production, has necessitated the development of an inline quality grading.Since manual grading is time-consuming, costly, and requires a substantial amount of labor.This study introduces a novel approach for tomato quality sorting and grading.The m

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Feasibility and acceptability of technology-based caregiver engagement strategies delivered in a summertime childhood obesity prevention intervention: results from an internal pilot of the Camp NERF (Nutrition, Education, Recreation, and Fitness) study

Abstract Background The most efficacious childhood obesity prevention interventions have Cages involved caregivers directly or indirectly.Due to the high reliance on technology, research examining technological intervention approaches is warranted, particularly during the summer when parents may be more difficult to engage and the risk for excess w

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