Computer-vision classification of corn seed varieties using deep convolutional neural network

S Javanmardi, SHM Ashtiani, FJ Verbeek… - Journal of Stored …, 2021 - Elsevier
Automated classification of seed varieties is of paramount importance for seed producers to
maintain the purity of a variety and crop yield. Traditional approaches based on computer …

Synergetic effect of N/O functional groups and microstructures of activated carbon on supercapacitor performance by machine learning

M Rahimi, MH Abbaspour-Fard, A Rohani - Journal of Power Sources, 2022 - Elsevier
Heteroatoms-rich activated carbon (AC) can effectively promote the pseudo-capacitance of
AC-based electrodes used in supercapacitors. The well-known microstructural properties of …

New trends in the development and application of artificial intelligence in food processing

R Barthwal, D Kathuria, S Joshi, RSS Kaler… - Innovative Food Science …, 2024 - Elsevier
Food plays a significant role in human existence. It is necessary to reduce food wastage,
and enhance both food management and safety protocols. The growing prevalence and …

Machine learning approaches to rediscovery and optimization of hydrogen storage on porous bio-derived carbon

M Rahimi, MH Abbaspour-Fard, A Rohani - Journal of Cleaner Production, 2021 - Elsevier
Three Machine learning (ML) models were constructed and tested to model the hydrogen
adsorption of activated carbons (ACs). Although many efforts have been accomplished, the …

[HTML][HTML] Evaluation of drying behavior and characteristics of potato slices in multi–stage convective cabinet dryer: Application of artificial neural network

S Chokphoemphun, S Hongkong… - Information Processing …, 2023 - Elsevier
The inconsistency in the quality of dried products at different coordinates within a
conventional multi-stage convective cabinet dryer is a critical but often neglected problem. In …

Modeling and optimization of performance and emission parameters of a diesel engine: A comparative evaluation between date seed oil biodiesel produced via three …

HA Allami, M Tabasizadeh, A Rohani… - Energy Conversion and …, 2023 - Elsevier
In this study, the performance of a diesel engine fueled with date seed oil (DSO) biodiesel,
produced under microwave, ultrasonic and conventional heating system, is investigated by …

Vegetable size measurement based on stereo camera and keypoints detection

B Zheng, G Sun, Z Meng, R Nan - Sensors, 2022 - mdpi.com
This work focuses on the problem of non-contact measurement for vegetables in agricultural
automation. The application of computer vision in assisted agricultural production …

[HTML][HTML] A machine vision-intelligent modelling based technique for in-line bell pepper sorting

K Mohi-Alden, M Omid, MS Firouz, A Nasiri - Information Processing in …, 2023 - Elsevier
The uniformity of appearance attributes of bell peppers is significant for consumers and food
industries. To automate the sorting process of bell peppers and improve the packaging …

Effect of ultrasound‐assisted thin bed drying for retaining the quality of red bell pepper and compare the predictive ability of the mathematical model with artificial …

R Sasikumar, IB Mangang, K Vivek… - Journal of Food …, 2023 - Wiley Online Library
Red bell peppers (Capsicum annuum L.) are low in calories and high in nutrients, including
vitamins A and C. Various factors such as weight loss, senescence, and microbial influence …

[PDF][PDF] Classification of hazelnuts according to their quality using deep learning algorithms.

N Erbaş, G Çinarer, K Kiliç - Czech Journal of Food …, 2022 - cjfs.agriculturejournals.cz
Hazelnut is a product with high nutritional and economic value. In maintaining the quality
value of hazelnut, the classification process is of great importance. In the present day, the …