Development of Solar Powered Automatic Cotton Picking Machine Using Movable Robotic Arm: A Review

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Year : 2025 | Volume : 12 | 03 | Page :
    By

    Ajaykumar W. Kutarekar,

  1. Student, Department of Mechanical Engineering, Yeshvantrao Chavan College of Engineering, Nagpur, Maharashtra, India

Abstract

Cotton harvesting is a labor-intensive process, with traditional manual methods being inefficient and costly. Mechanized systems, such as spindle pickers and strippers, offer higher productivity but are expensive, bulky, and prone to crop damage. Robotic cotton-picking systems, integrated with artificial intelligence (AI) and computer vision, provide a promising alternative for selective and precise harvesting. This review examines advancements in robotic arm-based cotton picking, focusing on boll detection using AI, challenges in real-time processing, and adaptability to varying field conditions. The potential of solar-powered robotic systems is explored, emphasizing energy-efficient actuation and sustainable operation. Key challenges include high costs, scalability issues, and AI adaptability for different cotton varieties. Future research should focus on improving lightweight materials, efficient actuators, and precision farming technologies. This review highlights the need for innovative solutions to enhance automation, sustainability, and cost-effectiveness in cotton harvesting.

Keywords: Cotton harvesting, robotic arm, automation, computer vision, artificial intelligence, solar- powered system, precision agriculture

How to cite this article:
Ajaykumar W. Kutarekar. Development of Solar Powered Automatic Cotton Picking Machine Using Movable Robotic Arm: A Review. Journal of Advancements in Robotics. 2025; 12(03):-.
How to cite this URL:
Ajaykumar W. Kutarekar. Development of Solar Powered Automatic Cotton Picking Machine Using Movable Robotic Arm: A Review. Journal of Advancements in Robotics. 2025; 12(03):-. Available from: https://journals.stmjournals.com/joarb/article=2025/view=234950


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Ahead of Print Subscription Review Article
Volume 12
03
Received 12/05/2025
Accepted 18/07/2025
Published 27/12/2025
Publication Time 229 Days
168

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