Volume 13, Issue 4

Weed Remover Using Machine Learning


Hema Swathi S1, Swetha B2, Rohini N3, Subalakshmi V4


Weed Remover using Machine Learning is an innovative solution using machine learning techniques to address the persistent challenge of weed management in agriculture. The system integrates advanced machine learning algorithms with robotics to accurately find and cut weeds in real-time. A convolutional neural network (CNN) is trained on a diverse dataset comprising images of various crops and weed species, allowing the model to develop a robust understanding of visual cues associated with both. This trained model is deployed on a robotic platform equipped with cameras and actuators for real-time decision-making and precise weed removal



PAGES : 1308-1312 | 6 VIEWS | 3 DOWNLOADS

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Hema Swathi S1, Swetha B2, Rohini N3, Subalakshmi V4 | Weed Remover Using Machine Learning | DOI : https://doi.org/10.62226/ijarst20241339

Journal Frequency: ISSN 2320-1126, Monthly
Paper Submission: Throughout the month
Acceptance Notification: Within 6 days
Subject Areas: Engineering, Science & Technology
Publishing Model: Open Access
Publication Fee: USD 60  USD 50
Publication Impact Factor: 6.76
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