Toward automated tomato harvesting system integration of haptic based piezoresistive nanocomposite and machine learning

• Main Authors: Azhari, Saman, Setoguchi, Takuya, Sasaki, Iwao, Nakagawa, Arata, Ikeda, Kengo, Azhari, Alin, Hasan, Intan Helina
• Format: Article
• Published: IEEE 2021
• Online Access: http://psasir.upm.edu.my/id/eprint/93398/; https://ieeexplore.ieee.org/document/9598893

Carbon nanotubes (CNT)/polydimethylsiloxane (PDMS) have been investigated as potential materials for tomato-harvesting applications. The current-voltage (I–V) and current time (I–t) properties, as well as tomato hardness measurement and support-vector machine learning, were used to determine the per...