Freshness Detection And Sorting Of Pears Using The TCS-3200 Sensor
DOI:
https://doi.org/10.47709/cnahpc.v5i2.2470Keywords:
Conveyors, ESP32, TCS-3200, pears, IR SensorAbstract
Pears in early autumn can be harvested with the best quality. Pear farmers sort the fruit so that it can be consumed and sold with the best quality. Therefore automatic detection and sorting tools can make it easier for farmers to sort pears. This tool can sort fresh and rotten fruit using the TCS-3200 sensor based on the ESP32 microcontroller. The harvested fruit is collected in a container and the fruit will go out onto the conveyor. The conveyor has a length of 60 cm using a Nema 17 stepper motor that moves automatically, the TCS-3200 sensor is placed in the middle of the conveyor so that it can detect moving pears. The results of the sorting door servo if the fruit is declared fresh then the servo remains closed straight so that the fruit will go to the front container, and vice versa the fruit is declared rotten then the servo will open up so that the fruit will go down. At the end of the conveyor there is an IR sensor which is used to send a signal to the servo motor of the main container door, so that if the fruit has been detected and leads to the IR sensor, the main container door will open and take out new pears. And for data collection the number of pears can be seen through the LCD by calculating the number of pears that have been detected, the number of fresh fruit and the number of rotten fruit, and the overall calculation of the amount of data can be seen through a spreadsheet. In this case, it is hoped that this research can help and facilitate farmers in harvesting fruit on a large scale while being efficient in time and energy.
Downloads
References
Ashari, Rakhmad Fajar, Arief Wicaksono, Indah Sulistiyowati, and Akhmad Ahfas. 2022. “Paid Board Prototype With Monitoring Google Sheet.” Procedia of Engineering and Life Science 3. doi: 10.21070/pels.v3i0.1308.
Basri, Muhammad, and Ira Wahira. 2022. “LINE FOLLOWER ROBOT MOVES GOODS BASED ON COLOR BASED MICROCONTROLLER Article Information.” 2(2):2775–5274.
Desy, Friska Tiara, Arif Surtono, Amir Supriyanto, and Junaidi Junaidi. 2020. "Design of Pineapple Sorting Prototype Based on Maturity Level Using the Blue Pill STM32F103C8T6 Microcontroller." Journal of Energy, Materials, and Instrumentation Technology 1(3):81–90. doi: 10.23960/jemit.v1i3.27.
Hetharua, Alberth David, Sumarno Sumarno, Indra Gunawan, Dedy Hartama, and Ika Okta Kirana. 2021. “Arduino Microcontroller Based Color Tomato Fruit Sorter.” Journal of Innovative Research 1(2):119–30. doi: 10.54082/jupin.18.
Johanes, Benny, Delpy Nisma Mendrofa, and Oloan Sihombing. 2022. “Implementation of The K-Nearest Neighbor Method to Determine The Quality of Export Import Swallow's Nest.” Journal of Computer Networks, Architecture and High Performance Computing 4(1):46–53. doi: 10.47709/cnahpc.v4i1.1281.
Juliano, Ariagi, Ade Hendri Hendrawan, and Ritzkal. 2020. “Information System Prototyping of Strawberry Maturity Stages Using Arduino Uno and TCS3200.” Journal of Robotics and Control (JRC) 1(3):86–91. doi: 10.18196/jrc.1319.
Kurniawan, Fikri, and Ade Surahman. 2021. "Security System at Railway Crossings Using Infrared Sensors Based on Arduino Uno Microcontroller." Journal of Technology and Embedded Systems 2(1):7. doi: 10.33365/jtst.v2i1.976.
Lestari, Ayu, and Oriza Candra. 2021. "Prototype of Goods Sorting Systems in the Industry Using Arduino Uno-Based Loadcells." JTEV (Journal of Electrical and Vocational Engineering) 7(1):27. doi: 10.24036/jtev.v7i1.111504.
Marline, Erni. 2023. “Journal of Computer Networks , Architecture and High Performance Computing The Design of Smart Prototype Pet Feeder Using Passive InfaRed ( PIR ) Sensors Journal of Computer Networks , Architecture and High Performance Computing.” 5(1):313–20.
Nugroho, Angga Muhammad Satria, Rahmat Hidayat, and Arnisa Stefanie. 2022. “Implementation of Stepper 28Byj-48 and Servo Mg996R As a Roasting Arm Robot in an Arduino Uno-Based Automatic Satay Grill Tool.” JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) 5(1):47–54. doi: 10.26905/jeemecs.v5i1.5166.
Nugroho, Bagus, Nuraeni Dwi Dharmawati, and Kuni Faizah. 2021. "Analysis of Sludge Centrifuge Efficiency for Controlling Palm Oil Losses at Clarification Stations." Majamecha 3(2):127–39. doi: 10.36815/majamecha.v3i2.1547.
Nusa, Temy, Sherwin RUA Sompie, and Eng Meita Rumbayan. 2015. "Microcontroller Based Real Time Electrical Energy Consumption Monitoring System." E-Journal of Electrical and Computer Engineering 4(5):19–26.
OO, Akinwole. 2020. “Design, Simulation and Implementation of an Arduino Microcontroller Based Automatic Water Level Controller with I2C LCD Display.” International Journal of Advances in Applied Sciences 9(2):77. doi: 10.11591/ijaas.v9.i2.pp77-84.
Prayoga, Agung, Hilmy Abidzar Tawakal, and Reza Aldiansyah. 2018. “Development of Melon Ripeness Detection Method Based on Fruit Skin Texture Using Statistical Feature Extraction Method and Support Vector Machine (Svm).” Journal of Integrated Technology 4(1):24–30. doi: 10.54914/jtt.v4i1.112.
Rachmat, Asep, Ardi Mardiana, and Iis Caswini. 2018. "Design of a Gedong Lipstick Mango Maturity Sorter Tool Using a Microcontroller and Tcs 3200 Color Sensor." J-Ensitec 4(02):182–87. doi: 10.31949/j-ensitec.v4i02.1202.
Rianto P, and Harjoko A. 2017. "Determination of Salak Pondoh Fruit Maturity in Trees Based on Digital Image Processing." IJCCS : Indonesian Journal of Computing and Cybernetics Systems 11(2):143–54.
Rijal, Muh Chaerur. 2023. "Design of a Goods Sorting Conveyor Simulator Based on the Type of Material for the Practice of Programmable Logic Controller (PLC)-Based Industrial Control." 21(1):121–31.
Soedjarwanto, Noer. 2021. “Smart Dor Lock Prototype Using Iot-Based Stepper Motors (Internet Of Things).” Electrician 15(2):73–82. doi: 10.23960/elc.v15n2.2167.
Supriyadi, Slamet, Aan Burhanudin, Yuris Setiyoadi, and Iffan Bayu Setyono. 2020. “Performance Analysis of Mechanical Ventilators with Arduino-Based Stepper Motor Drives.” National Seminar on Research Results (Snhp) 662–77.
Syahrorini, Syamsudduha, Denny Syamsudin, Dwi Hadidjaja Rasjid Saputra, and Akhmad Ahfas. 2021. “K-Nearest Neighbor Algorithm to Identify Cucumber Maturity with Extraction of One-Order Statistical Features and Gray-Level Co-Occurrence.” IOP Conference Series: Earth and Environmental Science 819(1). doi: 10.1088/1755-1315/819/1/012010.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Moch. Azriel Revanza, Syamsudduha Syahrorini, Akhmad Ahfas
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
