Carpathian Journal of Food Science and Technology

 

Special Issue 2023

Artificial Intelligence and Machine Learning in Food Quality

TOPIC

 

Food is an essential part of human life and can be defined as the end product of agricultural activity, produced after processing the different products produced by farmers. The food industry plays a very pivotal role in both a countries economy and the global economy, and so to ensure the quality of products and safety of food items, artificial intelligence (AI)-based smart solutions are much needed. Therefore, it is necessary to explore and use AI-based smart solutions in the food industry to fulfil societal needs, as by using these techniques farmers can produce more food grains at a lesser cost and can raise their income rapidly. Artificial intelligence (AI) is now widely used in almost every aspect of life, enabling us to optimise and automate the manufacturing industry, revolutionising food production. Machine Learning is a sub domain of Artificial Intelligence. With the help of an intelligent system, farmers can analyse and ensure the optimum conditions, such as seed and crop choice, water use, and temperature, so that food quality can be improved. AI technology also plays an important role in food processing, storage, and delivery of food items. Robots, intelligent machines, and drones can all play important roles in saving cost in terms of packaging and delivery of food items, in the completion of tasks in hazardous conditions, and in the production of quality food. To determine the performance of various AI models and algorithms for the food sector, there is a need to study various mathematical and statistical techniques, and the correlations between the various food industry parameters responsible for higher growth. The aim of this Special Issue is to demonstrate new developments and application of artificial intelligence in food quality improvement. Our goal is to promote research and development in the use of AI in food quality improvement by publishing high-quality research papers in this interdisciplinary field that can profoundly impact the future of the food industry. We welcome both original research and review articles. Potential topics include but are not limited to the following:

• Artificial intelligence for improving food quality,

• Machine learning and AI in the food industry,

• Modelling techniques used to improve food quality,

• Food inspection and grading using artificial intelligence,

• Machine learning techniques for increasing the productivity of high-quality food products,

• Application of AI techniques in fertiliser management to ensure safe food products,

• The use of pesticide management using AI,

• The use of robots for safety of food and food warehouses,

• Food security through smart technologies,

• Food safety information sharing mechanisms.

 

Important Dates Submission and Publication Details

Submission Deadline: July 25, 2023,

Notification of Acceptance: August 25, 2023,

Final Version Due: September 25, 2023,

Special Issue Publishing Date: October 25, 2023,

 

Lead Guest Editor

Rijwan Khan ,
ABES Institute of Technology, Ghaziabad, India
Email: rijwankhan786@gmail.com

 

Guest Editors

Sugam Sharma ,
eFeed-Hungers.com (Founder/CEO), Ames, USA Iowa State University, Ames, USA
Email: sugam.k.sharma@gmail.com

Mohammad Amjad ,
Jamia Millia University, New Delhi, India
Email: mamjad@jmi.ac.in

Proposals are accepted/rejected

on a continuous basis till deadline for submission

To submit, send your research paper to:

rijwankhan786@gmail.com

 

Published Papers


POLYPHENOLS FROM COFFEE (Coffee arabica L.) SHELL AND PULP EXTRACTED BY ULTRASOUND APPLYING SURFACE RESPONSE METHODOLOGY

Miguel Angel Quispe Solano, Denis Dante Corilla Flores, Nancy Elisa Saavedra Mallma, Becquer Frauberth Camayo Lapa, Erika Amelia De la Cruz-Porta, Galia Mavel Manyary Cervantes, Franklin Ore Areche,

ACAI (EUTERPE OLERACEA MART): ANTIOXIDANT CAPACITY AND ITS PERSPECTIVE FOR THE PREVENTION OF MULTIPLE DISEASES IN THE PERUVIAN AMAZON – A REVIEW

Rafael Julian Malpartida Yapias, Franklin Ore Areche, Jimmy Pablo Echevarria Victorio, Walter Javier Cuadrado Campo, Alfonso Ruiz Rodriguez, Elmer Robert Torres Gutiérrez, Jhon Adolfo Quincho Astete, Guillermo Gomer Cotrina Cabello, Jesús Manuel More López, Eneida Lilia Condor Quinte, Denis Dante Corilla Flores,

MACHINE LEARNING AND BLOCK CHAIN MODEL FOR SUPPLYING FOOD PRODUCTS AND MAINTAIN FOOD QUALITY

B.Nancharaiah, Aruna M, Diksha Srivastava, Sathya Narayanan Velmurugan, Mohit Tiwari, Kanchi Lohitha Lakshmi, Ruhi Bakhare,

KINETICS OF COLOR DEGRADATION DURING STORAGE OF HARD CANDIES OF DYE FROM THE GRIS FLOWER WITH ARTIFICIAL INTELLIGENCE

Miguel Angel Quispe Solano, Denis Dante Corilla Flores, Franklin Ore Areche, Becquer Frauberth Camayo-Lapa, Erika Amelia De la Cruz-Porta, Galia Mavel Manyari Cervantes, Nancy Elisa Saavedra Mallma, José Paúl Casas Vásquez, Rodolfo Tello Saavedra, Jimmy Pablo Echevarria Victorio, Héctor Lorenzo Villa Cajavilca,

EFFECT OF THE ESSENTIAL OILS OF "ROMERO" ROSMARINUS OFFICINALIS AND "PEREJIL" PETROSELINUM CRISPUM ON THE MICROBIOLOGICAL QUALITY OF "ALPACA" HAMBURGER VICUGNA PACOS WITH MACHINE LEARNING

Denis Dante Corilla Flores, Tania Jakeline Choque Rivera, Franklin Ore Areche, Olivia Magaly Luque Vilca, Becquer Frauberth Camayo-Lapa, Miguel Angel Quispe Solano, Liliana Asunción Suarriva-Bustinza, Delicias Eufemia Natividad Huasupoma, Ronald Eimer Alcántara Paredes, Franklyn Elard Zapana Yucra, Dante Daniel Cruz Nieto, Manuel Choccelahua Huincho,

FOOD RECOGNITION AND NUTRITION FACTS DETERMINATION WITH DEEP CONVOLUTION NEURAL NETWORK MODELS

Fatih Tarlak, Özgün Yücel, Onur Yılmaz,

ENHANCING CROP YIELD PREDICTION IN PRECISION AGRICULTURE THROUGH SUSTAINABLE BIG DATA ANALYTICS AND DEEP LEARNING TECHNIQUES

Vivek Parashar, Neelam Labhade-Kumar, Badadapure Pravinkumar Rajkumar, Bhola Khan, Sandeep Rout, T. Porselvi, Mahammad Idrish I. Sandhi,

ARTIFICIAL INTELLIGENCE AND BIG DATA ANALYTICS-BASED OPTIMIZATION OF CROP YIELDS IN SUSTAINABLE AGRICULTURE

S. Rama Krishna, Ravi Kumar, J. Dafni Rose, Vinod Patidar, Anita Soni, Dhaval Mehta, Amol Ranadive,

 

 

 

 

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