TY - GEN
T1 - Identifying Strawberry Ripeness Level Using Camera for Cartesian Robot Application Based on Microcontroller
AU - Muharom, Syahri
AU - Wardhana, Dimas Aditya Putra
AU - Septyan, Mamat
AU - Pambudi, Arga Dwi
AU - Indrawan, Rodik Wahyu
AU - Firmansyah, Riza Agung
AU - Awanda, Adhim
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, we present a method for identifying strawberry ripeness levels using a camera for a Cartesian robot application. An automatic strawberry picking system has been developed to help simplify and speed up the harvesting process for farmers. The identification of fruit color is one of the fastest ways to identify the ripeness of strawberries. Automatically picking fruit using a robot has been widely developed to make it easier for farmers. Researchers have designed a system for identifying the ripeness of strawberries based on color using a camera, which will be applied to a Cartesian robot. The fruit color identification system considers the value of RGB taken by the camera, when the strawberry is identified as ripe, the Cartesian moves to pick the fruit. The results of the system's testing in identifying and picking fruit showed the fastest time was 6 seconds, and the longest time was 43 seconds. The success rate was 87.5%, because the strawberries are not identified as ripe because they are still raw. It is hoped that the system will help farmers pick strawberries automatically.
AB - In this paper, we present a method for identifying strawberry ripeness levels using a camera for a Cartesian robot application. An automatic strawberry picking system has been developed to help simplify and speed up the harvesting process for farmers. The identification of fruit color is one of the fastest ways to identify the ripeness of strawberries. Automatically picking fruit using a robot has been widely developed to make it easier for farmers. Researchers have designed a system for identifying the ripeness of strawberries based on color using a camera, which will be applied to a Cartesian robot. The fruit color identification system considers the value of RGB taken by the camera, when the strawberry is identified as ripe, the Cartesian moves to pick the fruit. The results of the system's testing in identifying and picking fruit showed the fastest time was 6 seconds, and the longest time was 43 seconds. The success rate was 87.5%, because the strawberries are not identified as ripe because they are still raw. It is hoped that the system will help farmers pick strawberries automatically.
KW - Cartesian
KW - Image Processing
KW - Microcontroller
KW - Robot
KW - Strawberry
UR - http://www.scopus.com/inward/record.url?scp=85182018007&partnerID=8YFLogxK
U2 - 10.1109/ICVEE59738.2023.10348260
DO - 10.1109/ICVEE59738.2023.10348260
M3 - Conference contribution
AN - SCOPUS:85182018007
T3 - 2023 6th International Conference on Vocational Education and Electrical Engineering: Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding
SP - 7
EP - 12
BT - 2023 6th International Conference on Vocational Education and Electrical Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Vocational Education and Electrical Engineering, ICVEE 2023
Y2 - 14 October 2023 through 15 October 2023
ER -