scholarly journals Food quality attributes of melon (Cucumis melo L.) influenced by grafting

2020 ◽  
Author(s):  
Dzsenifer Németh ◽  
Gábor Balázs ◽  
Zsanett Bodor ◽  
John-Lewis Zinia Zaukuu ◽  
Zoltán Kovács ◽  
...  
Keyword(s):  
Food Quality ◽  
Cucumis Melo ◽  
Food Industry ◽  
Near Infrared ◽  
Electronic Tongue ◽  
Quality Attributes ◽  
Review Of Literature ◽  
Vegetable Crop ◽  
Cucumis Melo L ◽  
Melon Fruit

AbstractMelon (Cucumis melo L.) is an important and valuable vegetable crop that nowadays has a 550ha cultivation area in Hungary. The use of grafting for cucurbits is a growing technique of interest to the food industry. Nevertheless, for melons the practice of grafting is not widespread, in contrast grafted seedlings are widely used by the watermelon growers. On the other hand, it should be mentioned that the food quality attributes can change, due to the grafting. Globally there are not many scientific articles available in this topic. The goal of our study is to provide a systematic review of literature with emphasis on the influence of grafting on melon fruit quality variations and the major advantages of this technique. Over the last few years, the near infrared spectroscopy (NIRS) and electronic tongue method became popular to measure food attributes.

scholarly journals Application of Artificial Intelligence in Food Industry—a Guideline

2021 ◽  
Author(s):  
Nidhi Rajesh Mavani ◽  
Jarinah Mohd Ali ◽  
Suhaili Othman ◽  
M. A. Hussain ◽  
Haslaniza Hashim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Food Industry ◽  
Near Infrared ◽  
Vision System ◽  
Electronic Tongue ◽  
World Population ◽  
Computer Vision System ◽  
The Past

AbstractArtificial intelligence (AI) has embodied the recent technology in the food industry over the past few decades due to the rising of food demands in line with the increasing of the world population. The capability of the said intelligent systems in various tasks such as food quality determination, control tools, classification of food, and prediction purposes has intensified their demand in the food industry. Therefore, this paper reviews those diverse applications in comparing their advantages, limitations, and formulations as a guideline for selecting the most appropriate methods in enhancing future AI- and food industry–related developments. Furthermore, the integration of this system with other devices such as electronic nose, electronic tongue, computer vision system, and near infrared spectroscopy (NIR) is also emphasized, all of which will benefit both the industry players and consumers.

scholarly journals STIMULASI HASIL MELON ( Cucumis melo, L) DENGAN MENGGUNAKAN BIOTO GROW GOLD (BGG)

2018 ◽  
Vol 15 (1) ◽  
pp. 35-41
Author(s):  
SAHINDAH ARITONANG ◽  
SURTINAH SURTINAH
Keyword(s):  
Data Analysis ◽  
Cucumis Melo ◽  
Sugar Content ◽  
Fruit Weight ◽  
Leaf Length ◽  
Stem Diameter ◽  
Leaf Width ◽  
Randomized Design ◽  
Cucumis Melo L ◽  
Melon Fruit

The experiment was conducted experimentally using non-factorial Randomized Design (RAL) with 5 (five) treatment levels without Bioto Grow Gold, Bioto Grow Gold 1 ml liter-1 water, Bioto Grow Gold 2 ml liter -1 water, giving Bioto Grow Gold 3 ml liter-1 water and giving Bioto Grow Gold 4 ml liter-1 water. The data analysis used variance and continued with a different test of Duncan treatment average at p 0.05. The results showed that BGG treatment had the significant effect on leaf length, leaf width, stem diameter, flowering age, fruit circumference, fruit weight, a thickness of flesh and sugar content of melon fruit. The best treatment is giving Bioto Grow Gold 3 ml liter-1 water.

scholarly journals EFFECTS OF FOOD QUALITY, SERVICE QUALITY, PRICE, ENVIRONMENT, AND LOCATION TOWARDS CUSTOMER LOYALTY OF INDONESIA’S LOCAL FAST FOOD INDUSTRY

2019 ◽  
Vol 14 (3) ◽  
pp. 119
Author(s):  
Indryati Sunaryo
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Food Quality ◽  
Customer Loyalty ◽  
Fast Food ◽  
Food Industry ◽  
Quality Attributes ◽  
Mediating Effect ◽  
Fast Food Industry ◽  
Related Quality

This study aims to measure and analyze the effect of several restaurant-related quality attributes toward customer loyalty with a mediating effect from customer satisfaction in the local fast-food industry in Indonesia. The nature of local fast-food industry is different compared to its global counterpart, so a new perspective has to be taken into account. Based on literature review of previous studies, the quality attributes that are selected for this study are food quality, service quality, environment, price, and location. Data in this study were collected from the responses of 461 participants and analyzed using Structural Equation Model (SEM). The SEM result shows that only price and location significantly affect customer loyalty through customer satisfaction. When customer satisfaction is removed and restaurant-related quality attributes is directly tested towards customer loyalty, only price and food quality significantly affect customer loyalty. Both with and without mediating effect from customer satisfaction, price keeps influencing customer loyalty. This result is against the majority of fast-food customer loyalty studies which usually emphasize on food or service quality as the main factor that influences customer loyalty and customer satisfaction.

scholarly journals Antioxidant activity of melon fruit (Cucumis melo L. ‘GMP’) ethanolic extract

2020 ◽  
Author(s):  
Muhammad Zulfikar ◽  
Faiza Senja Widya ◽  
Wiko Arif Wibowo ◽  
Budi Setiadi Daryono ◽  
Slamet Widiyanto
Keyword(s):  
Antioxidant Activity ◽  
Cucumis Melo ◽  
Ethanolic Extract ◽  
Cucumis Melo L ◽  
Melon Fruit

Valorization of melon fruit (Cucumis melo L.) by-products: Phytochemical and Biofunctional properties with Emphasis on Recent Trends and Advances

2020 ◽  
Vol 99 ◽  
pp. 507-519 ◽  
Author(s):  
Ricardo Gómez-García ◽  
Débora A. Campos ◽  
Cristóbal N. Aguilar ◽  
Ana R. Madureira ◽  
Manuela Pintado
Keyword(s):  
Cucumis Melo ◽  
Recent Trends ◽  
Cucumis Melo L ◽  
By Products ◽  
Melon Fruit

scholarly journals Penerapan Teknologi Visible-Near Infrared Spectroscopy untuk Prediksi Cepat dan Simultan Kadar Air Buah Melon (Cucumis melo L.) Golden

Agroteknika ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 67-74
Author(s):  
Yuda Hadiwijaya ◽  
Kusumiyati Kusumiyati ◽  
Agus Arip Munawar
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Cucumis Melo ◽  
Partial Least Squares Regression ◽  
Near Infrared ◽  
Principal Component ◽  
Least Squares Regression ◽  
Orthogonal Signal Correction ◽  
Signal Correction ◽  
Cucumis Melo L

Kadar air merupakan salah satu atribut kualitas yang penting pada komoditas hortikultura. Penetapan kadar air buah melon dengan metode konvensional memakan waktu yang lama dan perlu merusak sampel buah. Penelitian ini bertujuan untuk memprediksi kadar air buah melon golden menggunakan teknologi visible-near infrared spectroscopy (Vis-NIRS). Metode koreksi spektra orthogonal signal correction (OSC) diterapkan pada spektra original untuk meningkatkan kehandalan model kalibrasi. Partial least squares regression (PLSR) digunakan sebagai metode pendekatan regresi untuk mengekstraksi data spektra Vis-NIRS. Hasil penelitian membuktikan bahwa Vis-NIRS dapat diandalkan untuk memprediksi kadar air buah melon golden. Metode koreksi spektra OSC mampu memperkecil jumlah principal component (PC) pada spektra original. Linieritas pada model kalibrasi menggunakan spektra OSC tercatat memperoleh nilai tertinggi sebesar 0,92. Ratio of performance to deviation (RPD) pada spektra OSC menampilkan nilai tertinggi pula yaitu 3,63. Model kalibrasi yang diperoleh pada penelitian ini dapat ditransfer ke dalam spektrometer Vis-NIRS untuk prediksi kadar air melon golden secara cepat dan simultan.

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