Detection of fruit ripeness using image processing

https://doi.org/10.53730/ijhs.v6nS6.10146

Authors

  • Swati Hira Assistant Professor, CSE, RCOEM, Nagpur, India, 440013
  • Simran Lande Student, CSE, RCOEM, Nagpur, India, 440013

Keywords:

digital image processing, image detection, VGG16 model, fruits dataset, image classification

Abstract

Cultivation of fruit crops plays a very important role within the prosperity of any nation. Productive growth and high yield production of fruits is necessary and required for the agricultural industry. To understand ones health, it is better for agriculture agents to check ripeness of fruits naturally and in organic way. So that one can have fresh and natural fruits at their doorsteps. In this paper we introduce ripeness of fruit using a new, high-quality, dataset of images containing all type fruits. We also present the results of some experiment for training a digital image processing to detect fruits. We discuss the In fruit during ripening there is a well-coordinated series of changes in the composition of the fruit which lead from the unripe to the ripe condition and which give obvious changes in colour, texture, taste, time to ripe and aroma which are readily perceived by the senses.

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Published

02-07-2022

How to Cite

Hira, S., & Lande, S. (2022). Detection of fruit ripeness using image processing. International Journal of Health Sciences, 6(S6), 3874–3886. https://doi.org/10.53730/ijhs.v6nS6.10146

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Section

Peer Review Articles