Abstract
Rubber tapping is the process of extracting latex from rubber trees. Rubber tree (Hevea brasiliensis) is the most prevalent plantation crop in Kerala, India, and it was discovered to be the main source of income for the over 11.5 lakh people who live there. Because of its outstanding qualities, natural rubber is often used in everyday life. Manual tapping is currently the most popular method of accessing natural rubber. Rubber tree tapping is considered a skilled labor-intensive task, and the availability of such labor is dwindling. This is considered to be one of the factors affecting natural rubber production in Indian plantations. As a solution to the problems faced by the rubber industry, an AI-based rubber tapping robot is proposed that can automatically move from one tree to another in a rubber plantation and tap each tree.
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Appendix
Appendix
Resistance of armature: 0.5 Ω | Torque constant: 1.6 Nm/A |
|---|---|
Inductance of armature: 1.0 mH | Back emf constant: 1.6 Vs/rad |
Rotational inertia: 5 kg/m2 | Proportional constant, Kp:2 |
Viscous friction constant: 0.01 Nm/rad/s | Integral constant, Ki: 50 |
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Angel, T.S., Amrithesh, K., Krishna, K., Ashok, S., Vignesh, M. (2022). Artificial Intelligence-Based Rubber Tapping Robot. In: Ranganathan, G., Fernando, X., Shi, F. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 311. Springer, Singapore. https://doi.org/10.1007/978-981-16-5529-6_34
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DOI: https://doi.org/10.1007/978-981-16-5529-6_34
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