A Mechanized Harvesting and Automated Grading Technology for Oil Palm Fruit

Authors

  • Saraf A Student, Dept. of Computer, Don Bosco College of Engineering, Fatorda, Margao, Goa, India
  • Kenkre R Student, Dept. of Computer, Don Bosco College of Engineering, Fatorda, Margao, Goa, India
  • Pinto N Student, Dept. of Computer, Don Bosco College of Engineering, Fatorda, Margao, Goa, India
  • Fernandes B Student, Dept. of Computer, Don Bosco College of Engineering, Fatorda, Margao, Goa, India

DOI:

https://doi.org/10.26438/ijcse/v6si10.4552

Keywords:

oil palm, agriculture, UAV, drone, harvester, grading, image classification, VGGnet, ripeness, classification model

Abstract

The purpose of this research is to design and fabricate an automated grading cum harvesting device for Oil Palm Fruits. The presence of the VIRESCENS or NIGRESCENS gene in oil palm fruits renders it possible to determine the ripeness of the fruit by mere inspection. However, this method of inspection by workers is time-consuming and error-prone. Harvesting of oil palm fruits has been aided by numerous technologies such as the pole and knife method, aluminium pole and knife (APK) method and the like. These manual methods, besides consuming the time and energy of the harvester, pose a serious threat to the safety of the harvester, as he/she runs the risk of being hit by a falling oil palm branch

References

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Published

2025-11-17
CITATION
DOI: 10.26438/ijcse/v6si10.4552
Published: 2025-11-17

How to Cite

[1]
A. Saraf, R. Kenkre, N. Pinto, and B. Fernandes, “A Mechanized Harvesting and Automated Grading Technology for Oil Palm Fruit”, Int. J. Comp. Sci. Eng., vol. 6, no. 10, pp. 45–52, Nov. 2025.

Issue

Vol. 6 No. 10 (2018): IJCSE Special Issue November Edition

Section

Research Article

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