Food quality 4.0: From traditional approaches to digitalized automated analysis
Food quality has recently received considerable attention from governments, researchers,
and consumers due to the increasing demand for healthier and more nutritious food …
and consumers due to the increasing demand for healthier and more nutritious food …
Food processing 4.0: Current and future developments spurred by the fourth industrial revolution
Abstract “Food processing 4.0” concept denotes processing food in the current digital era by
harnessing fourth industrial revolution (called Industry 4.0) technologies to improve quality …
harnessing fourth industrial revolution (called Industry 4.0) technologies to improve quality …
[HTML][HTML] Guava disease detection using deep convolutional neural networks: A case study of guava plants
Food production is a growing challenge with the increasing global population. To increase
the yield of food production, we need to adopt new biotechnology-based fertilization …
the yield of food production, we need to adopt new biotechnology-based fertilization …
Systematic literature review: application of deep learning processing technique for fig fruit detection and counting
ASF Kamaruzaman, AIC Ani, MAHM Farid… - Bulletin of Electrical …, 2023 - beei.org
Deep learning has shown much promise in target identification in recent years, and it's
becoming more popular in agriculture, where fig fruit detection and counting have become …
becoming more popular in agriculture, where fig fruit detection and counting have become …
Dynamic mode decomposition and deep learning for postharvest decay prediction in apples
The damages and diseases that may occur in apples during the storage and cannot be seen
visually at early stages is a significant problem in precision agriculture leading to the loss of …
visually at early stages is a significant problem in precision agriculture leading to the loss of …
An improved U-Net network-based quantitative analysis of melon fruit phenotypic characteristics
C Qian, H Liu, T Du, S Sun, W Liu, R Zhang - Journal of Food …, 2022 - Springer
Melon fruit phenotype has rich genetic variation and is an important target trait for breeding
and commerciality. Existing measurement techniques have problems such as low detection …
and commerciality. Existing measurement techniques have problems such as low detection …
Deep learning for postharvest decay prediction in apples
N Stasenko, M Savinov, V Burlutskiy… - IECON 2021–47th …, 2021 - ieeexplore.ieee.org
Artificial Intelligence (AI) is a widely used tool in precision agriculture for estimating the
quality of food. It is especially relevant while assessing crops at various harvest and …
quality of food. It is especially relevant while assessing crops at various harvest and …
Quality Grading and Prediction of Frozen Zhoushan Hairtails in China Based on ETSFormer
K Hu, T Hu, W Yan, W Dong, M Zuo, Q Zhang - Sustainability, 2023 - mdpi.com
With the increasing demand for high-quality, healthy, and nutritious food, hairtails have good
potential for development in both domestic and international markets. In particular …
potential for development in both domestic and international markets. In particular …
Grading of harvested'Mihwang'peach maturity with convolutional neural network
MH Shin, KE Jang, SK Lee, JG Cho… - Journal of Bio …, 2022 - koreascience.kr
This study was conducted using deep learning technology to classify for'Mihwang'peach
maturity with RGB images and fruit quality attributes during fruit development and maturation …
maturity with RGB images and fruit quality attributes during fruit development and maturation …
Segmentasi Berbasis Warna Untuk Pengelompokan Kualitas Cacing Anc Menggunakan Yolov8
F Nurdiyansyah, I Akbar… - JIKO (Jurnal Informatika …, 2025 - ejournal.akakom.ac.id
Mengembangkan metode otomatisasi dalam pengelompokan kualitas cacing African Night
Crawler (ANC) menggunakan model YOLOv8 yang didukung oleh segmentasi berbasis …
Crawler (ANC) menggunakan model YOLOv8 yang didukung oleh segmentasi berbasis …