Machine vision combined with deep learning–based approaches for food authentication: An integrative review and new insights

C Shen, R Wang, H Nawazish, B Wang… - … Reviews in Food …, 2024 - Wiley Online Library
Food fraud undermines consumer trust, creates economic risk, and jeopardizes human
health. Therefore, it is essential to develop efficient technologies for rapid and reliable …

A deep learning image system for classifying high oleic sunflower seed varieties

M Barrio-Conde, MA Zanella, JM Aguiar-Perez… - Sensors, 2023 - mdpi.com
Sunflower seeds, one of the main oilseeds produced around the world, are widely used in
the food industry. Mixtures of seed varieties can occur throughout the supply chain …

Seeding detection and distribution evaluation using the developed automatic maize seeding machine

Y Li, Z Zhang, A Azizi, MH Kabir… - … and Electronics in …, 2024 - Elsevier
Seeding is a time-consuming and labour-intensive process in the detection of maize seeds
germination rate. Automatic seeding can reduce labour requirements and improve …

Near-infrared hyperspectral imaging for online measurement of the viability detection of naturally aged watermelon seeds

J Yasmin, MR Ahmed, C Wakholi, S Lohumi… - Frontiers in Plant …, 2022 - frontiersin.org
The viability status of seeds before sowing is important to farmers as it allows them to make
yield predictions. Monitoring the seed quality in a rapid and nondestructive manner may …

Classification of seed corn ears based on custom lightweight convolutional neural network and improved training strategies

X Ma, Y Li, L Wan, Z Xu, J Song, J Huang - Engineering Applications of …, 2023 - Elsevier
Abnormal ears (containing phenotypic differences in seeds, particularly in color) are
manually removed to improve seed purity during seed production in the field or factory …

A method for detecting the quality of cotton seeds based on an improved ResNet50 model

X Du, L Si, P Li, Z Yun - Plos one, 2023 - journals.plos.org
The accurate and rapid detection of cotton seed quality is crucial for safeguarding cotton
cultivation. To increase the accuracy and efficiency of cotton seed detection, a deep learning …

Research on species identification of wild grape leaves based on deep learning

B Pan, C Liu, B Su, Y Ju, X Fan, Y Zhang, L Sun… - Scientia …, 2024 - Elsevier
There are more than 70 species of Vitis in the world, and 40 species, 1 subspecies and 13
varieties of Vitis native from China. Wild grapes are diverse and complex, and it is difficult to …

Application of Hyperspectral Imaging for Watermelon Seed Classification Using Deep Learning and Scoring Mechanism

H Qi, M He, Z Huang, J Yan, C Zhang - Journal of Food Quality, 2024 - Wiley Online Library
Watermelon seeds are a significant source of nutrition in the diet. To assess the potential of
near‐infrared hyperspectral imaging technology for swift and nondestructive identification of …

Deep learning application for real-time gravity-assisted seed conveying system for watermelon seeds purity sorting

P Mukasa, D Semyalo, MA Faqeerzada, H Kim… - … and Electronics in …, 2024 - Elsevier
Seed standardization is crucial for all seed breeders as it enables differentiation of
performance among specific seed varieties. Standardized seed lots outperform impure seed …

Rapid and nondestructive watermelon (Citrullus lanatus) seed viability detection based on visible near‐infrared hyperspectral imaging technology and machine …

J Sun, A Nirere, KD Dusabe, Z Yuhao… - Journal of Food …, 2024 - Wiley Online Library
The improper storage of seeds can potentially compromise agricultural productivity, leading
to reduced crop yields. Therefore, assessing seed viability before sowing is of paramount …