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  • Open Access

    ARTICLE

    Limitation of RGB-Derived Vegetation Indices Using UAV Imagery for Biomass Estimation during Buckwheat Flowering

    E. M. B. M. Karunathilake1,#, Thanh Tuan Thai1,2,3,#, Sheikh Mansoor1, Anh Tuan Le3,4, Faheem Shehzad Baloch1,5, Yong Suk Chung1,*, Dong-Wook Kim6,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 2215-2228, 2025, DOI:10.32604/phyton.2025.067439 - 31 July 2025

    Abstract Accurate and timely estimation of above-ground biomass is crucial for understanding crop growth dynamics, optimizing agricultural input management, and assessing productivity in sustainable farming practices. However, conventional biomass assessments are destructive and resource-intensive. In contrast, remote sensing techniques, particularly those utilizing low-altitude unmanned aerial vehicles, provide a non-destructive approach to collect imagery data on plant canopy features, including spectral reflectance and structural details at any stage of the crop life cycle. This study explores the potential visible-light-derived vegetative indices to improve biomass prediction during the flowering period of buckwheat (Fagopyrum tataricum). Red, green, and blue (RGB)… More >

  • Open Access

    ARTICLE

    Leveraging the WFD2020 Dataset for Multi-Class Detection of Wheat Fungal Diseases with YOLOv8 and Faster R-CNN

    Shivani Sood1, Harjeet Singh2,*, Surbhi Bhatia Khan3,4,5,*, Ahlam Almusharraf6

    CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2751-2787, 2025, DOI:10.32604/cmc.2025.060185 - 03 July 2025

    Abstract Wheat fungal infections pose a danger to the grain quality and crop productivity. Thus, prompt and precise diagnosis is essential for efficient crop management. This study used the WFD2020 image dataset, which is available to everyone, to look into how deep learning models could be used to find powdery mildew, leaf rust, and yellow rust, which are three common fungal diseases in Punjab, India. We changed a few hyperparameters to test TensorFlow-based models, such as SSD and Faster R-CNN with ResNet50, ResNet101, and ResNet152 as backbones. Faster R-CNN with ResNet50 achieved a mean average precision More >

  • Open Access

    ARTICLE

    Development of Loose-Fill Thermal Insulation Materials from Annual Plant Residues Using Low-Concentration Chemimechanical Pulping

    Andris Berzins1,2, Ramunas Tupciauskas1,*, Gunars Pavlovics1, Martins Andzs1

    Journal of Renewable Materials, Vol.13, No.6, pp. 1189-1207, 2025, DOI:10.32604/jrm.2025.02024-0067 - 23 June 2025

    Abstract This study examines the development of loose-fill thermal insulation materials derived from annual plant residues, such as wheat straw, water reeds, and corn stalks, processed using the chemimechanical pulping (CMP) technique. The chopped plants were soda-cooked for 30 min, varying NaOH concentration (2%–8% on a dry basis of biomass), and mechanically refined using different disc types. The CMP process enhances the homogeneity and stability of defibrated material, yielding improved insulation properties compared to untreated chopped raw materials. Chemical analysis revealed that CMP increases cellulose content and reduces lignin levels, enhancing water retention and vapor diffusion… More > Graphic Abstract

    Development of Loose-Fill Thermal Insulation Materials from Annual Plant Residues Using Low-Concentration Chemimechanical Pulping

  • Open Access

    ARTICLE

    Enhanced Wheat Disease Detection Using Deep Learning and Explainable AI Techniques

    Hussam Qushtom, Ahmad Hasasneh*, Sari Masri

    CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 1379-1395, 2025, DOI:10.32604/cmc.2025.061995 - 09 June 2025

    Abstract This study presents an enhanced convolutional neural network (CNN) model integrated with Explainable Artificial Intelligence (XAI) techniques for accurate prediction and interpretation of wheat crop diseases. The aim is to streamline the detection process while offering transparent insights into the model’s decision-making to support effective disease management. To evaluate the model, a dataset was collected from wheat fields in Kotli, Azad Kashmir, Pakistan, and tested across multiple data splits. The proposed model demonstrates improved stability, faster convergence, and higher classification accuracy. The results show significant improvements in prediction accuracy and stability compared to prior works,… More >

  • Open Access

    ARTICLE

    Morpho-Physiological Indices for Identification of Heat Tolerant Wheat Genotypes (Triticum aestivum L.) at Seedling Stage

    S. Y. Labonno, M. S. Raihan, M. Mohi-Ud-Din, A. K. M. Aminul Islam*

    Phyton-International Journal of Experimental Botany, Vol.94, No.5, pp. 1545-1563, 2025, DOI:10.32604/phyton.2025.063916 - 29 May 2025

    Abstract Morpho-physiological evaluation of a crop’s genetic resources is necessary to find possible genotypes to include in breeding initiatives. The objective of this study was to identify heat-tolerant wheat genotypes among36 mutant lines using morpho-physiological indices. Seedlings of mutant lines and check varieties were grown under both normal (control) and heat-stress conditions in growth chambers. Data were recorded on root-shoot parameters (length, fresh weight, dry weight, and ratio), relative water content (RWC), stability of cell membrane, pigment content, and chlorophyll fluorescence. Two-way analysis of variance showed significant (p < 0.01, p < 0.001) variation among15 morpho-physiological features… More >

  • Open Access

    ARTICLE

    Impact of Drought, Salinity, and Waterlogging on Wheat: Physiological, Biochemical Responses, and Yield Implications

    Mudasser Mehmood1,*, Zoahaib Aslam Khan1, Adil Mehmood2, Madiha Zaynab3, Muhammad Atiq ur Rahman4, Mohammad Khalid Al-Sadoon5, M. Harshini6, Ling Shing Wong7

    Phyton-International Journal of Experimental Botany, Vol.94, No.4, pp. 1111-1135, 2025, DOI:10.32604/phyton.2025.059812 - 30 April 2025

    Abstract Wheat (Triticum aestivum L.) is a staple crop critical for global food security, yet its productivity is significantly affected by abiotic stresses such as drought, salinity, and waterlogging, which are exacerbated by climate change. This study evaluated the effects of these stresses on vegetative growth, physiological responses, and yield. Field experiments were conducted using a Randomized Complete Block Design (RCBD) at the Mona Reclamation Experimental Project (MREP), WAPDA, Bhalwal, Sargodha, Punjab Pakistan. Stress treatments included three levels of drought (25%, 50%, and 75% field capacity), salinity (4, 8, and 12 dS/m), and waterlogging (24, 48, and… More >

  • Open Access

    ARTICLE

    Humic Acid Mediates Drought Tolerance in Wheat through the Modulation of Morphophysiological Traits, Leading to Improve the Grain Yield in Wheat

    Dristy Roy1, Md. Zakarya Ibne Sayed2, Durjay Mondal2, Banosree Saha Bandhan3, Md. Maniruzzaman Bahadur1, Md. Rabiul Islam1, Ahmed Gaber4, Md. Parvez Kabir5, Akbar Hossain5,*, Subrota Kumer Pramanik1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 763-779, 2025, DOI:10.32604/phyton.2025.062717 - 31 March 2025

    Abstract The increasing frequency and intensity of drought caused by climate change necessitate the implementation of effective ways to increase the ability of wheat to withstand drought, with humic acid being a promising approach. Therefore, a pot experiment was conducted to determine the efficacy of exogenous humic acid on wheat under water deficit stress via a completely randomized design (CRD) with three replications. The impacts of four growing conditions, i.e., well water (65% field capacity), water deficit stress (35% field capacity), soil application of humic acid (44 mg kg−1 soil) under water deficit stress and foliar feeding… More >

  • Open Access

    ARTICLE

    Exogenous Application of Hesperidin Ameliorates Chromium Toxicity in Wheat Irrigated with Tannery Wastewater

    Gohar Ayoub1, Shafaqat Ali1,2,*, Muhammad Arslan Ashraf 3,4, Shoaib Ahmad5, Mohamed A. El-Sheikh6

    Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 929-951, 2025, DOI:10.32604/phyton.2025.059288 - 31 March 2025

    Abstract Chromium (Cr), a persistent soil pollutant, has detrimental effects on plants and living things, and its contamination in soil increased as a result of human-induced activities. Pakistan suffers from a lack of fresh water supplies; hence most people use metal-containing water and wastewater to irrigate their crops. Exposure to Cr toxicity, the plant reduces their morphological and physiological growth which ultimately decreases crop productivity. The current study was designed to investigate the foliar application of hesperidin (HSP) at varying effluent rates (25, 50, 75, and 100 mg L−1) on wheat growth under tannery wastewater irrigated soil.… More >

  • Open Access

    ARTICLE

    Cerium Oxide Nanoparticles Alleviate Enhanced UV-B Radiation-Induced Stress in Wheat Seedling Roots by Regulating Reactive Oxygen Species

    Cheng Sun1,3, Chen Zhao2,3, Guohua Wang2,3, Qianwen Mao2,3, Rong Han2,3,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.2, pp. 455-479, 2025, DOI:10.32604/phyton.2025.061462 - 06 March 2025

    Abstract Enhanced UV-B radiation represents a major environmental factor impacting global cereal production. Researchers have explored various approaches to reduce the detrimental impact of UV-B radiation on crops. Recently, engineered nanoparticles, particularly cerium oxide nanoparticles (CeO2-NPs), have attracted widespread interest for their ability to boost plant tolerance to a range of abiotic stresses. This study investigates how CeO2-NPs application affects the morphology, physiology, biochemistry, and transcriptomics profiles of wheat seedling roots subjected to enhanced UV-B stress. The findings demonstrate that CeO2-NPs notably promoted root length, fresh and dry weights, and root activity (p < 0.05) under enhanced UV-B… More >

  • Open Access

    ARTICLE

    Coupling Multi-Source Satellite Remote Sensing and Meteorological Data to Discriminate Yellow Rust and Fusarium Head Blight in Winter Wheat

    Qi Sheng1, Huiqin Ma1,*, Jingcheng Zhang1, Zhiqin Gui1, Wenjiang Huang2,3, Dongmei Chen1, Bo Wang1

    Phyton-International Journal of Experimental Botany, Vol.94, No.2, pp. 421-440, 2025, DOI:10.32604/phyton.2025.060152 - 06 March 2025

    Abstract Yellow rust (Puccinia striiformis f. sp. Tritici, YR) and fusarium head blight (Fusarium graminearum, FHB) are the two main diseases affecting wheat in the main grain-producing areas of East China, which is common for the two diseases to appear simultaneously in some main production areas. It is necessary to discriminate wheat YR and FHB at the regional scale to accurately locate the disease in space, conduct detailed disease severity monitoring, and scientific control. Four images on different dates were acquired from Sentinel-2, Landsat-8, and Gaofen-1 during the critical period of winter wheat, and 22 remote sensing features that… More >

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