• Media type: E-Book
  • Title: Identification of Fruits and Vegetables using Embedded Sensor
  • Contributor: L, Rajasekar [Author]; C, Ganesh Babu [Author]; D, Sharmila [Author]
  • Published: [S.l.]: SSRN, [2023]
  • Extent: 1 Online-Ressource (8 p)
  • Language: English
  • Keywords: Embedded sensor ; Tensorflow ; Arduino Nano 33 BLE
  • Origination:
  • Footnote: In: The Electrochemical Society Advancing solid state & electrochemical Science & technology
    Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments October 14, 2021 erstellt
  • Description: In precision agriculture, computational techniques play a critical role. It is a vital job to detect and classify fruits and vegetables from crops and gardens. In fruit detection and yield estimation, an intelligent detection system is used as a key technology where embedded sensor techniques are being implemented. Many researchers developed a different classification system for classifying the fruits or vegetables using image processing techniques and machine learning algorithm. Big computers with fast CPUs and GPUs, massive RAM sizes or cloud algorithms have often been associated with them even simple applications. In this article Tensorflow and Arduino BLE sense are used to identify the fruits and vegetable with less resource
  • Access State: Open Access