Highly sensitive Piezoresistive nanocomposite for haptic sensing applications: toward automation of tomato harvesting

Abstract

CNTs/PDMS as a promising nanocomposite for tomato harvesting application has been investigated. The I-V and I-t characteristics as well as tomato hardness measurement and support-vector machine learning was utilized to determine the performance of the sensor in terms of nanocomposite. The data suggested an accurate and stable measurement in a low weight region of tomato. The I-V hysteresis reduced substantially towards higher weight region as a result of increase in electrons pathways. The fabricated sensor displayed higher sensitivity than the commercial sensor. In addition, machine learning of resistance-displacement curve data suggested 0.67 accuracy when tested with acquired data.