Deep learning hyperspectral imaging: a rapid and reliable alternative to conventional techniques in the testing of food quality and safety

N Gul, K Muzaffar, SZA Shah, A Assad… - Quality Assurance and …, 2024 - qascf.com
Food quality and safety are a great public concern; outbreaks of food-borne illnesses can
lead to different health problems. Consequently, rapid and non-destructive artificial …

Automatic fruits freshness classification using CNN and transfer learning

U Amin, MI Shahzad, A Shahzad, M Shahzad, U Khan… - Applied Sciences, 2023 - mdpi.com
Fruit Freshness categorization is crucial in the agriculture industry. A system, which precisely
assess the fruits' freshness, is required to save labor costs related to tossing out rotten fruits …

CNN-based freshness grading of Mourala fish (Amblypharyngodon mola)

T Choudhury, A Aryan, HF Mahdi… - … : Selected Papers of …, 2023 - Springer
Precise assessment of fish freshness has a huge importance for consumers. Manual
analysis takes time and sometimes lead to false assessment that could lead to various …

Fruits Freshness Recognition System by Manipulating Versatile Neural Networks

A Sharmila, KS Tamilselvan, DP EL… - … on Circuit Power …, 2023 - ieeexplore.ieee.org
Fruits are the prerequisite authority of nutrition. Consuming fresh fruits on a daily basis is
good for health. Fruits are the consequential provenance of income for farmers. Harvesting …

Local Fruit Classification and Recognition using Transfer Learning Models

UC Dey, F Hasan, MHR Papel, TH Turza… - 2023 14th …, 2023 - ieeexplore.ieee.org
The practice of automatically classifying images is gaining popularity. Many of us have very
little knowledge of the local fruits, yet even in that case, we can vouch to their quality. In our …

Fruit and Vegetable Classification and Freshness Detection using Machine learning

P Varshney, S Avasthi, K Agarwal - 2024 MIT Art, Design and …, 2024 - ieeexplore.ieee.org
Freshness is a key factor in determining a fruit or vegetable's quality, and it directly
influences the physical health and coping provocation of consumers. It ascertains the …

GAN and IEC Approach for Image Generation

A Shukla, HF Mahdi, I Tandon, R Singh… - 2022 International …, 2022 - ieeexplore.ieee.org
Generative adversarial networks (GANs) are capable of learning deep representations
efficiently without requiring a significant amount of annotation. Through Backpropagation …

Empirical Study on Categorized Deep Learning Frameworks for Segmentation of Brain Tumor

R Sille, T Choudhury, P Chauhan, HF Mehdi… - Proceedings of Fourth …, 2023 - Springer
In the medical image segmentation field, automation is a vital step toward illness detection
and thus prevention. Once the segmentation is completed, brain tumors are easily …

Chicken Quality Evaluation Using Deep Learning

R Madan, T Choudhury, T Sarkar, N Bansal… - … Conference on Emerging …, 2023 - Springer
In recent years, the demand for food materials is reaching sky, thus making the artificial
intelligence-based evaluation technique the research hot-spot now because the quality …

Classification Analysis of Product Sales Results at Alfamart Using the Naïve Bayes Method

YY Lase, CW Silaban, AS Sitepu… - Electronic Integrated …, 2024 - journal.yasib.com
This research focuses on the analysis of the number of products sold, especially stock items
from the distribution center to Alfamart stores. The main problem discussed in this study is …