Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{203770,
author = {Rohan Dattatray Bhujbal and Rajwardhan Sambhaji and Manoj Dilip Sapkal and Amol Dadasaheb Ghadge},
title = {Automated Fruit Picking Robot},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {1},
pages = {145-148},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=203770},
abstract = {The present project report involves the designing, developing, and implementation of an Automated Fruit Picking Robot. The robot is an automated system capable of identifying and picking ripe fruits automatically. This system makes use of a TCS3200 color sensor for detecting the ripeness of the fruit and uses a multijointed robotic arm actuated by servo motors for picking the fruit and placing it in a designated location. As compared to sophisticated vision-based detection systems which make use of cameras and machine learning techniques, the current project is solely dependent upon real-time color sensing for fruit detection, which reduces cost and effort. An Arduino Uno board processes sensor values, identifies fruit ripeness and commands servo movements. A multi-jointed robotic arm along with an end effector is designed and implemented to grab the ripe fruits, which are later placed in the basket. In this report, different hardware components (Arduino Uno board, TCS3200 sensor, breadboards, power supply, and servos) as well as software implementation (Embedded C/C+)},
keywords = {},
month = {June},
}
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