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Article
Chemistry, Applied
Chunying Huang et al.
Summary: Hickory nuts are rich in lipids with high nutritional value and health benefits, with a lipid composition mainly consisting of glycerolipids and glycerophospholipids. The dynamic changes in lipids during embryonic development, particularly the role of diacylglycerols, play a significant role in accumulation of glycerolipids and glycerophospholipids, containing unsaturated fatty acids such as oleic acid, linoleic acid and linolenic acid mainly at sn-2 lipid position.
Article
Food Science & Technology
Dong Yang et al.
Summary: It is important to identify the moldy status of stored maize in the early stage, and this study proposes a method that combines hyperspectral imaging with sparse auto-encoders and convolutional neural network algorithms to classify the moldy grades of maize kernels. The proposed model achieved high recognition rates and could provide technical support for online detection of moldy maize kernels during storage.
INTERNATIONAL JOURNAL OF FOOD PROPERTIES
(2022)
Review
Nutrition & Dietetics
Said Gharby et al.
Summary: Argan oil, a non-refined vegetable oil produced from the argan tree, has emerged as an important international product with economic and environmental implications. It is mainly produced by women's cooperatives in Morocco using a semi-industrial mechanical extraction process. This review discusses the chemical composition, nutritional and cosmetic values of argan oil, as well as the processes used to prepare it and ensure its quality and authenticity.
FRONTIERS IN NUTRITION
(2022)
Article
Food Science & Technology
Anuja Bhargava et al.
Summary: Vegetable and fruit security is crucial for the Indian economy, and the proposed automated machine learning algorithm aims to detect types and quality grading efficiently. By utilizing various features and classifiers, the system achieves promising results for type detection and grading, with SVM showing the most efficient performance.
FOOD ANALYTICAL METHODS
(2022)
Article
Horticulture
Susan Pakrah et al.
Summary: In this study, the physical and biochemical characteristics of fresh walnut kernels from four cultivars were evaluated, and the characteristics of dried kernels under different drying methods were compared. The results showed significant variability among different cultivars in terms of nut weight, kernel percentage, weight, color, etc. Fresh kernels had higher quality, and drying at lower temperatures was recommended for maintaining kernel quality.
Article
Food Science & Technology
Yanrong Hu et al.
Summary: This study tested the nutritional ingredient, aroma component, and texture of three types of hickory nuts and analyzed their quality using various methods. The results showed that the American hickory had the highest score in terms of nutritional composition, while the Linan hickory had the highest score in terms of nutritional composition and texture. The comprehensive evaluation indicated that the quality of Linan hickory was the highest, supported by its superior fatty acid spectrum, amino acid spectrum, and chewing hardness, as well as its palatability and unique aroma components. These findings provide a basis for consumers to understand the quality differences among different types of hickory nuts.
JOURNAL OF FOOD QUALITY
(2022)
Article
Agriculture, Multidisciplinary
Bui Thi Hanh et al.
Summary: This study presents a fast, accurate, and automated technique for identifying plant diseases using computer vision and artificial intelligence. The EfficientNet architectures with pre-trained Noisy-Student weights were used for classification, achieving high performance on leaf image-based healthy and diseased plant groups. The results showed the potential of artificial intelligence models in detecting plant-leaf diseases with great accuracy and efficiency.
JOURNAL OF PLANT DISEASES AND PROTECTION
(2022)
Article
Computer Science, Artificial Intelligence
Birkan Buyukarikan et al.
Summary: This study aims to classify physiological disorders in apples using image processing and machine learning methods. By extracting deep features using pre-trained CNN models and classifying them using ML methods, accurate identification of physiological disorders has been achieved.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Biochemical Research Methods
Mohammad Sadat-Hosseini et al.
Summary: The study developed prediction models for in vitro proliferation of Persian walnut using machine learning techniques, showing higher accuracy than traditional linear regression. The gene expression programming models were further optimized using particle swarm optimization, providing new insights into culture medium composition prediction models. The hybrid GEP-PSO technique displayed good performance for modeling walnut tissue culture media, with MLPNN and KNN also showing strong estimation capabilities.
Article
Food Science & Technology
Xue-Chen Pei et al.
Summary: By monitoring Rancimat induction time (RIT), peroxide value (POV), and thiobarbituric acid-reactive substances (TBARS) of docosahexaenoic add (DHA) algae oil and walnut oil during accelerated storage, the study evaluated the effects of single and combined use of seven antioxidants on lipid oxidation. The results showed that samples with TPP had the strongest stability. The shelf lives of the oils were predicted using a linear regression model, and the optimal antioxidants were found to significantly prolong the shelf lives of DHA algae oil and walnut oil.
FOOD SCIENCE & NUTRITION
(2022)
Article
Chemistry, Multidisciplinary
T. Anandhakrishnan et al.
Summary: Plant leaf diseases pose a significant risk to food security and the economy. This study proposes an automatic system for leaf disease identification using Deep Convolutional Neural Network (CNN), specifically focusing on tomato leaves. The model achieved a high accuracy of 98.40% on the testing set, after training on a large dataset of tomato leaf disease images.
SUSTAINABLE CHEMISTRY AND PHARMACY
(2022)
Article
Agronomy
Maimunah Mohd Ali et al.
Summary: This study successfully distinguished different pineapple cultivars using infrared thermal imaging and machine learning algorithms. The results showed that support vector machine achieved the best performance with a classification rate of 100% using optimal image parameters. Therefore, the combination of infrared thermal imaging and machine learning approaches can be effectively used to distinguish pineapple cultivars.
Article
Agriculture, Multidisciplinary
Jia Kang et al.
Summary: The growth and distribution of root system in soil plays a crucial role in plant growth and crop production. This study focused on the segmentation of cotton mature root system using a semantic segmentation model with attention mechanism, which showed higher accuracy and efficiency compared to other models. The proposed model accurately distinguishes cotton roots from complex soil background, providing important theoretical value and practical application reference for deep learning in plant root segmentation.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Computer Science, Artificial Intelligence
Junde Chen et al.
Summary: Rice is a crucial crop, but diseases can harm yields and food security. This study utilizes deep learning and attention mechanisms to optimize model training, achieving efficient rice disease identification with high accuracy.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Food Science & Technology
Susan Pakrah et al.
Summary: The study investigates the impact of drying methods and harvesting date on the sensory and nutritional properties of walnut kernels. It found that drying at 20 degrees Celsius resulted in higher protein and fatty acid content as well as better quality indicators compared to other drying methods. Additionally, late-harvested Persian walnuts showed higher protein and oil content but with darker color and higher peroxide value compared to early-harvested walnuts. The results suggest that walnut kernel color and shrivel can serve as indicators of the nutritional quality of walnut kernels.
JOURNAL OF FOOD PROCESSING AND PRESERVATION
(2021)
Article
Nutrition & Dietetics
Xiaoran Liu et al.
Summary: Consumption of walnuts is associated with improved life expectancy and reduced mortality risk, with those consuming more than 5 servings per week experiencing greater benefits.
Article
Agriculture, Multidisciplinary
Ahmet Alkan et al.
Summary: This study utilizes deep learning for automated detection of vine leaf diseases, aiming to improve detection accuracy and assist Syrian and Turkish farmers in maintaining grape production quality. Through the use of convolutional neural networks (CNNs) with various models and algorithms, the system achieves high detection accuracy and provides early identification of diseases on vine leaves.
TURKISH JOURNAL OF AGRICULTURE AND FORESTRY
(2021)
Article
Agriculture, Multidisciplinary
Ummuhan Merve Arcan et al.
Summary: Walnut is a common nut worldwide, with a variety of genotypes that differ in properties. The fatty acid and tocopherol profiles of 156 F1 genotypes were investigated, showing potential nutritional value for future breeding studies. This research provides important scientific data on walnut genetic resources and composition.
TURKISH JOURNAL OF AGRICULTURE AND FORESTRY
(2021)
Article
Chemistry, Analytical
Di Wang et al.
Article
Computer Science, Artificial Intelligence
Jie Hu et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2020)
Article
Biology
Qing Zhou et al.
COMPUTERS IN BIOLOGY AND MEDICINE
(2019)
Article
Chemistry, Applied
A. L. Grosso et al.
