Department of Electrical and Electronics Engineering, Rajarajeswari College of Engineering, Bengaluru, Karnataka, India.
* Corresponding Author
Global Journal of Engineering and Technology Advances, 2026, 29(01), 366–372
Article DOI: 10.30574/gjeta.2026.29.1.0311
Received on 20 September 2026; revised on 27 October 2026; accepted on 29 October 2026
Agri-Vision is a computer-vision-guided robotic system for smart tomato harvesting that uses an Arduino UNO Q, an ESP32-CAM, servo motors, and image-processing techniques. The ESP32-CAM captures images of tomato plants, which are analysed to identify candidate ripe tomatoes using colour and shape information. When a target tomato is detected, the robotic arm moves toward it, and a scissor-based cutting mechanism is activated to separate the fruit from the plant. The mobile platform uses four DC motors controlled by an L293D motor driver. A 16 × 2 LCD displays system status and operating updates, while an ISD sound module provides voice alerts during harvesting operations. The system integrates computer vision, robotics, and embedded control to demonstrate a low-cost approach to smart agriculture. Its performance and benefits should be established through testing of the physical prototype.
Smart Agriculture, Automated Tomato Harvesting, Arduino UNO Q, ESP32-CAM, Image Processing, Colour and Shape Detection, Robotic Arm, Servo Motors, Precision Agriculture.
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Udhyami M B, Honneshwar B, B N Sai Teja, M Rakshith Yadav and Srinivas H S . AGRI-VISION: INTELLIGENT ROBOTIC ARM FOR SMART TOMATO HARVESTING. Global Journal of Engineering and Technology Advances, 2026, 29(01), 366–372. Article DOI: https://doi.org/10.30574/gjeta.2026.29.1.0311.





