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  • Open Access

    ARTICLE

    Fruit Leaf Diseases Classification: A Hierarchical Deep Learning Framework

    Samra Rehman1, Muhammad Attique Khan1, Majed Alhaisoni2, Ammar Armghan3, Fayadh Alenezi3, Abdullah Alqahtani4, Khean Vesal5, Yunyoung Nam5,*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1179-1194, 2023, DOI:10.32604/cmc.2023.035324

    Abstract Manual inspection of fruit diseases is a time-consuming and costly because it is based on naked-eye observation. The authors present computer vision techniques for detecting and classifying fruit leaf diseases. Examples of computer vision techniques are preprocessing original images for visualization of infected regions, feature extraction from raw or segmented images, feature fusion, feature selection, and classification. The following are the major challenges identified by researchers in the literature: (i) low-contrast infected regions extract irrelevant and redundant information, which misleads classification accuracy; (ii) irrelevant and redundant information may increase computational time and reduce the designed… 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

    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

    The Physiological and Molecular Responses of Exogenous Selenium to Selenium Content and Fruit Quality in Walnut

    Mufang Sun1, Xinran Hui2, Cuiling Tong3, Longyi Yuan2, Dejian Zhang1,2,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 851-860, 2023, DOI:10.32604/phyton.2022.025147

    Abstract To study the effect of exogenous selenium on fruit quality in walnut (Juglans regia L.), 8-year-old walnut (Qingxiang) was taken as the research object. In the fruit expansion stage, 300 mg/L of sodium selenate, yeast selenium and sodium selenite solutions were applied on the leaf of walnut, and the selenium levels in leaves, pericarp and kernel were determined at the ripening stage. The fruit quality, mineral nutrient content, antioxidant enzyme activity, and related genes’ expression were analyzed. The results showed that the three exogenous selenium increased the selenium levels in leaves, pericarp and kernel of walnut.… More >

  • Open Access

    ARTICLE

    Prediction of Apple Fruit Quality by Soil Nutrient Content and Artificial Neural Network

    Mengyao Yan1, Xianqi Zeng1, Banghui Zhang1, Hui Zhang2, Di Tan1, Binghua Cai1, Shenchun Qu1, Sanhong Wang1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 193-208, 2023, DOI:10.32604/phyton.2022.023078

    Abstract The effect of soil nutrient content on fruit yield and fruit quality is very important. To explore the effect of soil nutrients on apple quality we investigated 200 fruit samples from 40 orchards in Feng County, Jiangsu Province. Soil mineral elements and fruit quality were measured. The effect of soil nutrient content on fruit quality was analyzed by artificial neural network (ANN) model. The results showed that the prediction accuracy was highest (R2 = 0.851, 0.847, 0.885, 0.678 and 0.746) in mass per fruit (MPF), hardness (HB), soluble solids concentrations (SSC), titratable acid concentration (TA) and solid-acid ratio More >

  • Open Access

    ARTICLE

    The Effects of Water and Fertilizer Coupling on Plant and Soil Nitrogen Characteristics and Fruit Growth of Rabbiteye Blueberry Plants in a Semi-Arid Region in China

    Xiaolan Guo1,2, Di Zhao2, Jinbin Hu3, Delu Wang2,*, Jianbin Wang1, Muhammad Shakeel4

    Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 209-223, 2023, DOI:10.32604/phyton.2022.023050

    Abstract

    To evaluate the effects of nitrogen (N) and irrigation coupling on the soil N distribution, plant N utilization, and fruit yield of rabbiteye blueberries (Vaccinium virgatum), a field experiment was designed using two factors (water and fertilizer application) with four levels of irrigation and three levels of fertilization, and a control. Under the different water and fertilizer combinations, N primarily accumulated in the leaves. Irrigation and N application within appropriate ranges (pure N ≤ 29 g/plant and irrigation volume ≤ 2.5 L/plant) significantly improved the blueberry fruit yield. Increases in water and N within these ranges

    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

    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

    A Quasi-Newton Neural Network Based Efficient Intrusion Detection System for Wireless Sensor Network

    A. Gautami1,*, J. Shanthini2, S. Karthik3

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 427-443, 2023, DOI:10.32604/csse.2023.026688

    Abstract In Wireless Sensor Networks (WSN), attacks mostly aim in limiting or eliminating the capability of the network to do its normal function. Detecting this misbehaviour is a demanding issue. And so far the prevailing research methods show poor performance. AQN3 centred efficient Intrusion Detection Systems (IDS) is proposed in WSN to ameliorate the performance. The proposed system encompasses Data Gathering (DG) in WSN as well as Intrusion Detection (ID) phases. In DG, the Sensor Nodes (SN) is formed as clusters in the WSN and the Distance-based Fruit Fly Fuzzy c-means (DFFF) algorithm chooses the Cluster… 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

    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

    Characterization of Potential Cellulose from Hylocereus Polyrhizus (Dragon Fruit) peel: A Study on Physicochemical and Thermal Properties

    Nurul Hanan Taharuddin1, Ridhwan Jumaidin2,*, Muhd Ridzuan Mansor1, Fahmi Asyadi Md Yusof3, Roziela Hanim Alamjuri4,*

    Journal of Renewable Materials, Vol.11, No.1, pp. 131-145, 2023, DOI:10.32604/jrm.2022.021528

    Abstract The strict environmental regulations to overcome the drawbacks of consumption and disposal of non-renewable synthetic materials have motivated this investigation. The physical, chemical, morphological, and thermal properties of Hylocereus Polyrhizus peel (HPP) powder obtained from the raw materials were examined in this study. The physical properties analyzes of Hylocereus Polyrhizus peel (HPP) powder discovered that the moisture content, density, and water holding capacity were 9.70%, 0.45 g/cm3 , and 98.60%, respectively. Meanwhile, the chemical composition analysis of Hylocereus Polyrhizus peel (HPP) powder revealed that the powder was significantly high in cellulose contents (34.35%) from other bio-peel wastes. The… More > Graphic Abstract

    Characterization of Potential Cellulose from <i>Hylocereus Polyrhizus</i> (Dragon Fruit) peel: A Study on Physicochemical and Thermal Properties

  • Open Access

    ARTICLE

    SPAD Value Difference between Blueberry Cultivar ‘STAR’ by Planted Ground and Pot

    Gyung Deok Han1, Dae Ho Jung2, Seong Heo3,*, Yong Suk Chung1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.11, pp. 2583-2590, 2022, DOI:10.32604/phyton.2022.022866

    Abstract In the smart farm, we can control every detail for production. Collecting every factor that affects the crop’s final yield is necessary to optimize its efficiency. The SPAD values were observed in the ‘Star’ cultivar blueberry (Vaccinium darrowii) three times a day and at three different plant heights. The pattern of SPAD value change was different by the planting position. Ground planted blueberry (V. darrowii) represented a stable SPAD value during the day and at the different heights. However, the SPAD value was increased by time in pot-planted blueberry (V. darrowii). Also, the SPAD value of pot-planted blueberry More >

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