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Paper ID:IJSREM68196

Design and fabrication of an automated fruit sorting conveyor system

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68196

Volume:

10 |

10 |

Oct 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM68196

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Chaitanya Arunkumar Rahangadale

Chaitanya Arunkumar Rahangadale

Mechanical Engineering

Lokmanya Tilak Jankalyan Shikshan Sanstha's Priyadarshini College of Engineering Nagpur

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Satish Anil Patle

Satish Anil Patle

Mechanical Engineering

Lokmanya Tilak Jankalyan Shikshan Sanstha's Priyadarshini College of Engineering Nagpur

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Harsh Jitendra Raut

Harsh Jitendra Raut

Mechanical Engineering

Lokmanya Tilak Jankalyan Shikshan Sanstha's Priyadarshini College of Engineering Nagpur

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Siddharth Dhanpal Rahulgade

Siddharth Dhanpal Rahulgade

Mechanical Engineering

Lokmanya Tilak Jankalyan Shikshan Sanstha's Priyadarshini College of Engineering Nagpur

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Sujal Sunil Tembhurne

Sujal Sunil Tembhurne

Mechanical Engineering

Lokmanya Tilak Jankalyan Shikshan Sanstha's Priyadarshini College of Engineering Nagpur

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Mentors

Dr. Prafulla S. Chaudhari

Dr. Prafulla S. Chaudhari

Mechanical Engineering

Lokmanya Tilak Jankalyan Shikshan Sanstha's Priyadarshini College of Engineering Nagpur

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Abstract

Manual fruit grading is repetitive and may pro- duce inconsistent results, while industrial sorting lines can be impractical for small producers and educational laboratories. This paper presents a fabrication-oriented design for a com- pact automated fruit-sorting conveyor. The proposed prototype combines a singulating feed, a low-speed belt, an inspection station, a controller, and a servo-operated diverter. A camera under controlled illumination is proposed for visible surface and color features, while a load cell measures fruit mass. The controller assigns each item to configurable grade bands and routes it to a corresponding collection bin. Preliminary sizing calculations use stated design assumptions: a 0.10 m/s belt speed, 0.30 m fruit spacing, and a 25 mm drive-roller radius. These assumptions give a spacing-limited theoretical rate of 20 fruits per minute and a roller speed of approximately 38 r/min; these are design estimates, not measured prototype performance. The paper also defines a fabrication and validation approach, including accuracy, throughput, fruit-damage, and reliability measurements. No experimental results are claimed because a completed prototype and test data were not supplied.

KEYWORDS

Fruit sorting conveyor system machine vision mass grading automation post-harvest handling.

Cite This Article

Chaitanya Arunkumar Rahangadale, Satish Anil Patle, Harsh Jitendra Raut, Siddharth Dhanpal Rahulgade, Sujal Sunil Tembhurne, Dr. Prafulla S. Chaudhari, "Design and fabrication of an automated fruit sorting conveyor system," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-5, Oct 2026. https://doi.org/10.55041/IJSREM68196

Full Article/Conclusion

The calculations give a spacing-limited theoretical rate of 20 fruits/min and a roller speed of approximately 38 r/min at the stated belt speed and roller radius. The torque estimate is also conditional on the assumed equivalent load and resistance co efficient. These values are for initial component selection only: they do not account fully for belt pretension, startup .loads, imageprocessing delay, fruit variability, or actuator settling time. No constructed machine or experimental measurements are claimed in this paper. Accordingly, no accuracy, damage, or operating-rate benefit can yet be attributed to the proposed design. The principal outcome is a testable prototype specifica tion and evaluation procedure. A completed build should be assessed using fruit samples graded independently under a written reference protocol. The resulting evidence can estab lish whether the selected mechanism and sensing arrangement meet the intended small-scale use case, and can guide redesign before any operational or economic claims are made.

References

[1]             Y. Chen, X. An, S. Gao, S. Li, and H. Kang, “A deeplearning-based vision system combining detection and tracking for fast on-line citrus sorting,” Frontiers in Plant Science, vol. 12, Art. no. 622062, 2021, doi:10.3389/fpls.2021.622062. [2]             S. K. Chakraborty et al., “AI-enabled farmfriendly automatic machine for washing, imagebased sorting, and weight grading of citrus fruits: Design optimization, performance evaluation, and ergonomic assess ment,” Journal of Field Robotics, vol. 40, no. 6, pp. 1581–1602, 2023, doi: 10.1002/rob.22193. [3]             H. Xu, Y. Hui, and H. Wan, “Research onfruit sorting system based on machine vision,” Modern Electronics Technique, vol. 47, no. 17, pp. 136–142, 2024, doi: 10.16652/j.issn.1004373x.2024.17.022. [4]             M. M. Sofu, O. Er, M. C. Kayacan, and B.Cetis¸li, “Design of an automatic apple sorting system using machine vision,” Computers and Electronics in Agriculture, vol. 127, pp. 395–405, 2016, doi: 10.1016/j.compag.2016.06.030. [5]             V. Leemans, H. Magein, and M.-F. Destain,“On-line fruit grading ac cording to their external quality using machine vision,”Biosystems Engi neering, vol. 83, no. 4, pp. 397– 404, 2002, doi: 10.1006/bioe.2002.0131. [6]             Z. Zhang, Y. Lu, and R. Lu, “Developmentand evaluation of an apple infield grading and sorting system,” Postharvest Bi ology and Technology, vol. 180, Art. no. 111588, 2021, doi: 10.1016/j.postharvbio.2021.111588.  [7] Y. Lu, R. Lu, and Z. Zhang, “Development and preliminary evaluation of a new apple harvest assist and in-field sorting machine,” Applied Engineering in Agriculture, vol. 38, no. 1, pp. 23–35, 2022, doi: 10.13031/aea.14522. [8] J. Xu and Y. Lu, “A machine vision-based online apple grading system toward in-field sorting,” Journal of the ASABE, vol. 69, no. 5, pp. 699 710, 2026, doi: 10.13031/ja.16670

Editorial & Review Transparency

Publication Date

10/24/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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