Mulberry (Morus spp.): An ideal plant for sustainable development

Rohela, Gulab Khan; Shukla, Pawan; Muttanna,; Kumar, Rajesh; Chowdhury, Sukhen Roy

doi:10.1016/j.tfp.2020.100011

Cited by 89 publications

(69 citation statements)

References 164 publications

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“…In addition to high nutritional value and bioactivity, the low acidity and very sweet taste of white mulberry and the slightly acidic flavor and attractive dark color of black mulberry led to a rapid increase in their production and consumption [11], [12]. The fully ripened fruits are usually consumed either fresh or used as ingredients in marmalade, tea, vinegar, wine, juice, jam, ice cream, jelly, syrup, food colorant, natural dyes, dried fruits, and other food and cosmetic products [4], [5], [13].…”

Section: Introductionmentioning

confidence: 99%

Detection of Mulberry Ripeness Stages Using Deep Learning Models

et al. 2021

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Ripeness classification is one of the most challenging tasks in the postharvest management of mulberry fruit. The risks of microbial contamination and human error in manual sorting are significant; it may result in quality degradation and wasting of processed products. Due to advanced developments in computer vision and machine learning, automated sorting became possible. This study presents the results of developing and testing a computer vision-based application using convolutional neural networks (CNNs) for the classification of mulberry fruit ripening stages. To reduce the training cost and improve the accuracy of classification, transfer learning was used to fine-tune the CNN models. The CNN models in the test include DenseNet, Inception-v3, ResNet-18, ResNet-50, and AlexNet. Transfer learning was used to fine-tune the models and improve the accuracy of classification. The AlexNet and ResNet-18 networks exhibited the best performance with 98.32% and 98.65% overall accuracy for classifying the ripeness of white and black mulberries, respectively. Moreover, the performance of the models did not change when the data sets of both genotypes were mixed. The ResNet-18 was able to classify both genotype and ripeness from 600 fruit images in 2.36 min with an overall accuracy of 98.03%, which was superior to other architectures. It indicates that the model could be used for precise classification of the ripening stages of mulberries and other horticultural products, as a part of an automated sorting system.INDEX TERMS Convolutional neural network, computer vision, online detection, ripening classification, transfer learning.

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Section: Introductionmentioning

confidence: 99%

Detection of Mulberry Ripeness Stages Using Deep Learning Models

et al. 2021

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“…These plants were selected for review because they are common to the spontaneous flora, constantly grow in Europe, are well resistant to climatic change, and survive in stressful weather conditions. Thus, these plants are sustainable plant sources of natural products [ 33 , 34 , 35 ]. Given these, more emphasis must be put on researching the health benefits of dandelion, chicory, and mulberry.…”

Section: Introductionmentioning

confidence: 99%

Plants of the Spontaneous Flora with Beneficial Action in the Management of Diabetes, Hepatic Disorders, and Cardiovascular Disease

Ignat

Coldea

Salanță

et al. 2021

Plants

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The current pharmacological agents advised for the management of diabetes as well as cardiovascular and hepatic diseases are subject to numerous studies for safety and efficacy. Therefore, it is worth looking into alternative therapeutic aids such as natural products of medicinal plants. By a broad review of in vitro and in vivo studies on the various dandelion, chicory, and mulberry extracts, this work highlights their bioactive compounds and therapeutic action when used as a prevention and management aid in public health such as diabetes, cardiovascular disease, and hepatic disorders like non-alcoholic steatohepatitis. Natural products of dandelion leaves and root extracts can suppress the development of liver cancer, decrease insulin resistance, and suppress total triglyceride and cholesterol levels. Recent studies on mulberry leaves extracts indicated that they could decrease palmitic acid-induced lipotoxicity, increase total cholesterol and bile acid excretion, improve superoxide dismutase expression, and improve insulin resistance. Chicory root extracts boost satiety, reverse insulin resistance, and augment lipid metabolism thanks to their contents in chicoric acid, chlorogenic acid, and polysaccharides. Taraxacum officinale L., Morus nigra L., and Cichorium intybus L. present hepatoprotective, anti-inflammatory, antioxidant, hypolipidemic, and hypoglycemic activities and are shown to be advantageous in the management of obesity, dyslipidemia, Type 2 diabetes, and non-alcoholic fatty liver diseases. These plants are commonly available in the European spontaneous flora and more attention could be paid to their natural products.

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“…It has been documented that phenolic compounds such as chlorogenic acid and catechins, which are commonly used, have antimutagenic and anticarcinogenic properties. Furthermore, cinnamic acids, a sub-group of nitrosamines suspected of causing cancer, are used to block them (5).…”

Section: Introductionmentioning

confidence: 99%

“…Industrialists have been involved in more industrial processing of mulberry through the preparation of various goods in the pharmaceutical, food, cosmetic, and health care industries. As mulberry is being exploited by sericulture, pharmaceutical, cosmetic, food and beverage industries along with its utilization in environmental safety approach; it is appropriate to call it as a most suitable plant for sustainable development (5). So the aim of using M. alba L to examine its ability to enhance common carp growth, performance, blood picture and meat quality.…”

Section: Introductionmentioning

confidence: 99%

Effect of white mulberry (Morus albas L.) On common carp performance, biological parameters, and blood picture

Nma

2021

Preprint

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This study has been done for evaluating the growth performance and health performance of Cyprinus carpio isoenergetic with isonitrogenous diets which contain three levels (0, 10, 15, gm of mulberry fruit powder, have been used for a period of 12 weeks. The effect of white mulberry (Morus albas L.) fruit powder on common carp, T2 was significantly higher than other treatments in each of growth performance and feed utilization parameters. the adding of white mulberry fruit powder significantly increased each of CBC counts in T2 of RBC and HCT%. The conrol was significantly higher in each of MCH, MCHC, MCV and Platelets count. Cholestrol, triglyceride and HDL were higher significantly in T2, LDL was significantly higher in control. The white mulberry (M. albas L.) fruit powder effect significantly in, GPT, GOT, in T2 and the CKI and blood suger were higher significantly in the control, the control was significantly higher in each of total protein, and albumin ratio. T2 was higher significantly in Intestine Length Index in both fish weigth and length, and both fish weigth without viscera and/ or head. No significant differences in each of Intestine Weight Index among treatments, blood Globulin ratio, Hemoglobin count and VLDL.

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Mulberry (Morus spp.): An ideal plant for sustainable development

Cited by 89 publications

References 164 publications

Detection of Mulberry Ripeness Stages Using Deep Learning Models

Detection of Mulberry Ripeness Stages Using Deep Learning Models

Plants of the Spontaneous Flora with Beneficial Action in the Management of Diabetes, Hepatic Disorders, and Cardiovascular Disease

Effect of white mulberry (Morus albas L.) On common carp performance, biological parameters, and blood picture

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