Chili Pepper Variety Detection System Using the Principal Component Analysis Method

Veri Arinal ; Frencis Matheos Sarimole ; Sugeng Sugeng ; Rindy Julianda
International Journal of Mechanical, Electrical an... 📅 2024 Vol 1, No 1 🔗 DOI: 10.61132/ijmecie.v1i1.273
Abstract
In the agricultural sector, the automatic identification of chili pepper varieties is crucial for improving production efficiency and quality. This study developed a chili pepper variety detection system based on characteristics using the Principal Component Analysis (PCA) method. The PCA method was used to reduce the dimensionality of chili pepper image data, thereby facilitating the classification process while retaining the key features necessary for chili pepper variety identification. The recognition system for chili pepper identification involves inputting chili pepper image data into a computer. The computer then interprets and identifies the chili pepper variety, and the test data utilizes a dataset of chili pepper images from various varieties. The research results indicate that the proposed system achieves a high level of accuracy in detecting and classifying chili pepper varieties. Consequently, this system can assist farmers and agricultural industry stakeholders in the chili pepper sorting and selection process, thereby improving operational efficiency and the quality of the harvest.
Keywords
Agricultural; Chili Image; Detection System; PCA Method; Type of Chili
How to Cite

Veri Arinal, et al. (2024). Chili Pepper Variety Detection System Using the Principal Component Analysis Method. International Journal of Mechanical, Electrical and Civil Engineering, 1(1). https://doi.org/10.61132/ijmecie.v1i1.273

Veri Arinal; Frencis Matheos Sarimole; Sugeng Sugeng; Rindy Julianda, "Chili Pepper Variety Detection System Using the Principal Component Analysis Method," International Journal of Mechanical, Electrical and Civil Engineering, vol. 1, no. 1, 2024.

Veri Arinal; Frencis Matheos Sarimole; Sugeng Sugeng; Rindy Julianda. "Chili Pepper Variety Detection System Using the Principal Component Analysis Method." International Journal of Mechanical, Electrical and Civil Engineering, vol. 1, no. 1, 2024.

Veri Arinal; Frencis Matheos Sarimole; Sugeng Sugeng; Rindy Julianda. "Chili Pepper Variety Detection System Using the Principal Component Analysis Method." International Journal of Mechanical, Electrical and Civil Engineering 1, no. 1 (2024).

Veri Arinal, et al. (2024) 'Chili Pepper Variety Detection System Using the Principal Component Analysis Method', International Journal of Mechanical, Electrical and Civil Engineering, 1(1). doi: 10.61132/ijmecie.v1i1.273.

Veri Arinal; Frencis Matheos Sarimole; Sugeng Sugeng; Rindy Julianda. Chili Pepper Variety Detection System Using the Principal Component Analysis Method. International Journal of Mechanical, Electrical and Civil Engineering. 2024;1(1).

Artikel Terkait

Evaluation of the Selection and Application of Environmentally Friendly Materials in Row Housing Design: A Case Study of Cemara Asri, Medan

Parlindungan Waruwu; Melly Andriana; Dara Wisdianti

Sowur (House) Residential Space System, in the Eucalyptus Oil Industry in Wasur Village, Merauke, South Papua

Cindy Priscillia Sinay; Tarcicius Yoyok Wahyu Subroto

Design of Intercative Game to Train Children’s Skills Based on Microcontroller

Diyajeng Luluk Karlina

Optimization Control PID With QHBM (Queen Honey Bee Migration) Algorithm in Heating Ventilating and Air Conditioning (HVAC) System

Wisnu Wahyu Nugroho; Aripriharta Aripriharta; Sujito Sujito

Experimental Study of Artificial Coarse Aggregate Materials Made from Fly Ash

Rajiman Rajiman; Ronny Hasudungan Purba; Inggit Anugriyya Netriza

Improvement of the Early, Middle and Final Patrol Check Process From Manual to Digital with the PDCA Method, Fishbone Diagram, and Why-Why Analysis at PT. Automotive Components Company

Chairul Alfatory; Bintang Rafly Aryansyah; Mahendra Mahendra; Andhika Danisvara; Yudi Prastyo
Tren Sitasi Jurnal