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  • Can machine learning discriminate pumpkin seeds?
  • The effectiveness of machine learning was demonstrated to discriminate pumpkin seeds in terms of physical characteristics. For classification models, the data were prepared through a series of preprocessing and then datasets and models were created with selected features (mass, length, geometric mean diameter, and shape index).
  • What are pumpkin seeds used for?
  • In addition to being consumed fresh or roasted, pumpkin seeds are used as a food supplement, in salads, meals, and sauces, in the pharmacological field, in the production of cosmetic products, in the production of soap and candles, by obtaining oil from the seeds [ 3, 7 ].
  • Can machine learning predict pumpkin seed varieties based on physical characteristics?
  • In recent years, machinery design and system development studies have taken these factors into consideration. The aim of this study is to explore classification models for four pumpkin seed varieties according to their physical characteristics by machine learning.
  • Can pumpkin seeds be used as a control tool?
  • In addition, accurately classifying pumpkin seeds that meet specific criteria is crucial for food and agricultural industries. Based on the present findings, a new approach could be suggested as a valuable control tool in development of planters for the agricultural machinery, breeding research, and the seed industry.