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  • Open Access

    ARTICLE

    Effect of Senescence Retardants on the Quality of Persian Lime Fruits

    Rafael Ariza-Flores1, Rafael Ambriz-Cervantes2, Pedro Cadena-Iñiguez3, Luis A. Gálvez-Marroquín4, Miguel A. Cano-García4,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.8, pp. 1805-1818, 2024, DOI:10.32604/phyton.2024.050093 - 30 August 2024

    Abstract The objective of this study consisted of evaluating the effect of the application of chitosan (Q), 1-methylcyclopropene (1-MCP) under two controlled temperatures on some physical, physiological, and chemical parameters contributing to the quality of Persian lime Citrus latifolia fruits. Eight treatments were evaluated, resulting from the combination of four senescence retardant applications (Q, 1-MCP, 1-MCP + Q, and without application) on fruits stored at two temperatures (12/20°C). Epidermis color (luminosity, chromaticity, and hue), fruit appearance, respiration, weight loss, total juice content, total soluble solids, and titratable acidity were registered during the study. The results indicate that More >

  • Open Access

    ARTICLE

    An Artificial Intelligence-Based Framework for Fruits Disease Recognition Using Deep Learning

    Irfan Haider1, Muhammad Attique Khan1,*, Muhammad Nazir1, Taerang Kim2, Jae-Hyuk Cha2

    Computer Systems Science and Engineering, Vol.48, No.2, pp. 529-554, 2024, DOI:10.32604/csse.2023.042080 - 19 March 2024

    Abstract Fruit infections have an impact on both the yield and the quality of the crop. As a result, an automated recognition system for fruit leaf diseases is important. In artificial intelligence (AI) applications, especially in agriculture, deep learning shows promising disease detection and classification results. The recent AI-based techniques have a few challenges for fruit disease recognition, such as low-resolution images, small datasets for learning models, and irrelevant feature extraction. This work proposed a new fruit leaf leaf leaf disease recognition framework using deep learning features and improved pathfinder optimization. Three fruit types have been… More >

  • Open Access

    ARTICLE

    Deep Learning-Based Classification of Rotten Fruits and Identification of Shelf Life

    S. Sofana Reka1, Ankita Bagelikar2, Prakash Venugopal2,*, V. Ravi2, Harimurugan Devarajan3

    CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 781-794, 2024, DOI:10.32604/cmc.2023.043369 - 30 January 2024

    Abstract The freshness of fruits is considered to be one of the essential characteristics for consumers in determining their quality, flavor and nutritional value. The primary need for identifying rotten fruits is to ensure that only fresh and high-quality fruits are sold to consumers. The impact of rotten fruits can foster harmful bacteria, molds and other microorganisms that can cause food poisoning and other illnesses to the consumers. The overall purpose of the study is to classify rotten fruits, which can affect the taste, texture, and appearance of other fresh fruits, thereby reducing their shelf life.… More >

  • Open Access

    ARTICLE

    Polyphenolic Compounds and Antioxidant Activity of Sea Buckthorn (Hippophae rhamnoides L.)

    Ain Raal1,*, Linda Rusalepp2, Tatiana Chiru3, Nicolae Ciobanu3, Kelly Talvistu1, Michelle Shusta1, Oleh Koshovyi1,4, Tõnu Püssa2

    Phyton-International Journal of Experimental Botany, Vol.92, No.11, pp. 2965-2979, 2023, DOI:10.32604/phyton.2023.042723 - 24 October 2023

    Abstract The fruits of the Sea buckthorn (Hippophae rhamnoides L.) are a popular plant food and a valuable health product. Cultivating plants produces a lot of leaves with fine branches as an unnecessary residue, which needs valorization. The aim of the study was to estimate (by HPLC-MS/MS) the qualitative and quantitative content of polyphenolic compounds in different parts of H. rhamnoides (HR), and to determine the level of antioxidant activity of leaves and fruits (by DPPH, ABTS methods and ferrozine test). Up to 19 compounds were identified in different parts of HR. The fruits are rich in flavonoids, including… More >

  • Open Access

    REVIEW

    Elicitation-Based Modulation of Shelf Life in Fruits: Physiological and Molecular Insights

    Ankita Kundu1, Abir Das1, Sayan Pal1, Arijit Ghosh1, Malay Kumar Adak1,*, Masayuki Fujita2, Mirza Hasanuzzaman3,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.8, pp. 2283-2300, 2023, DOI:10.32604/phyton.2023.028178 - 25 June 2023

    Abstract The process of ripening involves physiological and biochemical events that become a concern during postharvest storage. We have documented different approaches for the preservation and maintenance of fruit quality during the postharvest period that are biocompatible and fully safe for consumption. Chemical residues that sustain sensory characteristics, such as color, flavor, aroma, and texture, are considered. In fruit ripening, both physical and chemical elicitors are described that regulate ethylene biosynthesis or its signaling for gene expression. The key regulatory enzymes, such as ACC synthase and ACC oxidase, for ethylene biosynthesis, are important for both climacteric… More >

  • Open Access

    ARTICLE

    The Potential Efficacy of Glycyrrhizic Acid and Its Nanostructure Against Brown Rot of Peach fruits

    Tahsin Shoala1, Basma H. Amin2, Ismail A. S. Rashid3, Fayz A. Abdel-Rahman3, Mohamed E. Khalil3, Khamis Youssef3,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1139-1152, 2023, DOI:10.32604/phyton.2023.026515 - 06 January 2023

    Abstract Production of peaches (Prunus persica (L.) Batsch) for both local market and export is increasing each year in Egypt. Brown rot disease, caused by Monilinia laxa and Monilinia fructigena, is considered one of the most important postharvest rots affecting peaches in Egypt and economic losses are increasing. Antifungal activity of glycyrrhizic acid nanoparticles (GA-NPs) and glycyrrhizic acid (GA) at 0.2 and 0.4 mmol/L was investigated as a control for both these brown rot pathogens on peach fruits in both in vitro and in vivo studies. In the in vitro studies, GA-NPs were the most effective as shown by the ability to… More >

  • Open Access

    ARTICLE

    Q-Learning-Based Pesticide Contamination Prediction in Vegetables and Fruits

    Kandasamy Sellamuthu*, Vishnu Kumar Kaliappan

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 715-736, 2023, DOI:10.32604/csse.2023.029017 - 16 August 2022

    Abstract Pesticides have become more necessary in modern agricultural production. However, these pesticides have an unforeseeable long-term impact on people's wellbeing as well as the ecosystem. Due to a shortage of basic pesticide exposure awareness, farmers typically utilize pesticides extremely close to harvesting. Pesticide residues within foods, particularly fruits as well as veggies, are a significant issue among farmers, merchants, and particularly consumers. The residual concentrations were far lower than these maximal allowable limits, with only a few surpassing the restrictions for such pesticides in food. There is an obligation to provide a warning about this… More >

  • Open Access

    ARTICLE

    Effects of arbuscular mycorrhizal fungi and plant growth-promoting rhizobacteria on growth and reactive oxygen metabolism of tomato fruits under low saline conditions

    WEI ZHOU, MENGMENG ZHANG, KEZHANG TAO, XIANCAN ZHU*

    BIOCELL, Vol.46, No.12, pp. 2575-2582, 2022, DOI:10.32604/biocell.2022.021910 - 10 August 2022

    Abstract Land salinization is a major form of land degradation, which is not conducive to the growth and quality of fruits and vegetables. Plant salt tolerance can be enhanced by arbuscular mycorrhizal fungi (AMF) or plant growth-promoting rhizobacteria (PGPR). This study examined the effects of inoculation with PGPR singly or in combination with AMF, on the growth and quality of tomato fruits under low saline conditions. Tomatoes were cultivated in a greenhouse with sterilized soil, inoculated with PGPR, AMF, or co-inoculated with PGPR and AMF, and NaCl solution (1%) was added to the soil. The results… More >

  • Open Access

    ARTICLE

    Application of two forms of silicon and their impact on the postharvest and the content of bioactive compounds in cucumber (Cucumis sativus L.) fruits

    YOLANDA GONZÁLEZ-GARCÍA1, VALERIA FLORES-ROBLES2, GREGORIO CADENAS-PLIEGO3, ADALBERTO BENAVIDES-MENDOZA4, MARCELINO CABRERA DE LA FUENTE4, ALBERTO SANDOVAL-RANGEL4, ANTONIO JUÁREZ-MALDONADO1,*

    BIOCELL, Vol.46, No.11, pp. 2497-2506, 2022, DOI:10.32604/biocell.2022.021861 - 07 July 2022

    Abstract The metabolic activity of the fruits continues even after harvest, which results in the loss of bioactive compounds, a decrease in the quality of the fruits, softening and browning, among other negative effects. The use of certain elements such as silicon can improve postharvest quality, since it is involved in the metabolic, physiological and structural activity of plants, moreover can increase the quality of the fruits. In addition, nanotechnology has had a positive impact on crop yield, nutritional value, fruit quality and can improve antioxidant activity. For these reasons, the use of beneficial elements such… More >

  • Open Access

    ARTICLE

    Improving Date Fruit Classification Using CycleGAN-Generated Dataset

    Dina M. Ibrahim1,2,*, Nada M. Elshennawy2

    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 331-348, 2022, DOI:10.32604/cmes.2022.016419 - 24 January 2022

    Abstract Dates are an important part of human nutrition. Dates are high in essential nutrients and provide a number of health benefits. Date fruits are also known to protect against a number of diseases, including cancer and heart disease. Date fruits have several sizes, colors, tastes, and values. There are a lot of challenges facing the date producers. One of the most significant challenges is the classification and sorting of dates. But there is no public dataset for date fruits, which is a major limitation in order to improve the performance of convolutional neural networks (CNN)… More >

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