Open AccessIdentification of Fruits and Vegetables using Embedded Sensor
Author(s) -
L Rajasekar,
C. Ganesh Babu,
D Sharmila
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1084/1/012095
Subject(s) - computer science , arduino , key (lock) , cloud computing , identification (biology) , embedded system , artificial intelligence , agriculture , machine learning , operating system , geography , botany , biology , archaeology
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.