Automatic Bell Pepper Colour Detector and Sorting Machine

Seiphepi, G.; Zungeru, Adamu Murtala; Gaboitaolelwe, Jwaone; Lebekwe, Caspar K.; Mtengi, Bokani

doi:10.37624/ijert/13.11.2020.3156-3166

Cited by 3 publications

(2 citation statements)

References 6 publications

(5 reference statements)

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“…Penggunaan automatic color sensor and sorting machine (ACSSM) dalam otomatisasi pengukuran dan pemisahan produk berdasarkan warna. Sistem yang diterapkan didasarkan pada deteksi warna, deteksi objek, dan ejeksi untuk mencapai penyortiran [17].…”

Section: Pendahuluanunclassified

SmartAgro-Spectral: Teknik Pengukuran Kandungan Nitrit Pada Sarang Burung Walet Berbasis Spektral Menggunakan Metode Regresi Linier

Hudaya,

Hepi Ludiyati,

Feni Isdaryani

et al. 2023

J. Appl. Comput. Sci. Technol.

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Indonesia is the largest exporter of edible bird’s nest (EBN) to China, involving many EBN farmers from various regions in Indonesia. Therefore, a portable device is needed to rapidly and accurately measure the required quality of SBW to avoid rejection by Chinese buyers, which could result in significant losses. Consequently, for this purpose, an electronic instrument has been developed. smartAgro-Spectral is a microcontroller-based electronic instrument that measures nitrite content in edible bird’s nest (EBN) using linear regression method in machine learning calculations. This instrument can measure nitrite content based on the intensity of colors produced by EBN products. The coloring process is carried out by mixing EBW powder with Sulphanilamide solution and N-(1-naphthyl) Ethylenediamine Dihydrochloride (NED) solution. The concentration of EBN solution is normalized to values between 0.2 ppm and 0.7 ppm. The measurement process is carried out by emitting 18 waves of the light spectrum. The intensity of the 18 wavelengths of the measured light spectrum was selected based on the strong correlation between the intensity of the light spectrum and the value of nitrite content in the EBN product. The measurement results show that the intensity of the light spectrum that has a strong linear correlation is at wavelengths of 460 nm, 485 nm, 510 nm, 535 nm, and 610 nm. So, smartAgro-Spectral electronic instruments can be realized based on the intensity relationship of each wavelength through multiple linear regression analysis, and are able to linearly measure nitrite content in EBW products with a precision level of 99.85% and an accuracy rate of 99.85%.

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Section: Pendahuluanunclassified

SmartAgro-Spectral: Teknik Pengukuran Kandungan Nitrit Pada Sarang Burung Walet Berbasis Spektral Menggunakan Metode Regresi Linier

Hudaya,

Hepi Ludiyati,

Feni Isdaryani

et al. 2023

J. Appl. Comput. Sci. Technol.

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“…Wolf et al [34] developed a system for separating stems using three cylindrical squeeze rollers rotating clockwise at the top and eight downstream rollers rotating counterclockwise at the bottom. Seiphepi et al [35] designed and simulated an automated system that detects the color of bell peppers and separates the pepper from the stem by a roller-driven belt.…”

Section: Introductionmentioning

confidence: 99%

Performance Testing and Evaluation of Drum-Type Stem-Separation Device for Pepper Harvester

et al. 2021

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The chili pepper harvester has shown potential problems of low pepper stem separation and a high pepper damage rate. The low pepper stem separation has required additional labor, which consists of separating the pepper and stem after pepper harvesting. To improve the stem separation and sorting function of pepper harvesters, three-shaft and four-shaft drum-type stem-separation devices were manufactured, and performance tests were conducted to assess these devices. In an attempt to reduce the damage rate, a brush was used as the teeth in the drum-type stem-separation device. In the factor test, the rotational speeds of shaft 1(A), shaft 2(B), shaft 3(C), and the conveyor for the three-shaft drum were 0.9, 2.7, 1.3, and 0.5 m/s, respectively. The rotational speed of the four-shaft drum was the same as that of the three-shaft drum except for shaft 4(D), and the rotational speed of this additional D was set to 1.3 m/s, which was the same as that of C. In the non-moving status during the non-picking operation of the pepper harvester, the average stem-separation efficiency (SSE) of the four-shaft drum increased by 1.2%, the average pepper with twig rate (PTR) decreased by 5.9%, and the average damage rate (DR) increased by 3.7% compared to the three-shaft drum. In the moving status during the picking operation of the pepper harvester, the SSE of the four-shaft drum increased by 3.6%, the PTR decreased by 9.1%, and the DR increased by 3.8% compared to the three-shaft drum, so an improvement in the pepper stem-separation capacity was observed.

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Automated Quality Inspection: An Embedded Machine Vision System for Process Optimization

Raja,

Rashid,

Rahman

et al. 2024

2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)

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Automatic Bell Pepper Colour Detector and Sorting Machine

Cited by 3 publications

References 6 publications

SmartAgro-Spectral: Teknik Pengukuran Kandungan Nitrit Pada Sarang Burung Walet Berbasis Spektral Menggunakan Metode Regresi Linier

SmartAgro-Spectral: Teknik Pengukuran Kandungan Nitrit Pada Sarang Burung Walet Berbasis Spektral Menggunakan Metode Regresi Linier

Performance Testing and Evaluation of Drum-Type Stem-Separation Device for Pepper Harvester

Automated Quality Inspection: An Embedded Machine Vision System for Process Optimization

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