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  • Open Access

    ARTICLE

    DenseSwinGNNNet: A Novel Deep Learning Framework for Accurate Turmeric Leaf Disease Classification

    Seerat Singla1, Gunjan Shandilya1, Ayman Altameem2, Ruby Pant3, Ajay Kumar4, Ateeq Ur Rehman5,*, Ahmad Almogren6,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 4021-4057, 2025, DOI:10.32604/phyton.2025.073354 - 29 December 2025

    Abstract Turmeric Leaf diseases pose a major threat to turmeric cultivation, causing significant yield loss and economic impact. Early and accurate identification of these diseases is essential for effective crop management and timely intervention. This study proposes DenseSwinGNNNet, a hybrid deep learning framework that integrates DenseNet-121, the Swin Transformer, and a Graph Neural Network (GNN) to enhance the classification of turmeric leaf conditions. DenseNet121 extracts discriminative low-level features, the Swin Transformer captures long-range contextual relationships through hierarchical self-attention, and the GNN models inter-feature dependencies to refine the final representation. A total of 4361 images from the… More >

  • Open Access

    ARTICLE

    THERMAL STUDY OF THE DRYER WITH HEAT EXCHANGER PIPE INSTALLED IN RICE HUSK DOUBLE FURNACE DURING DRYING WHITE TURMERIC

    Ida Bagus Alit, I Gede Bawa Susana* , I Made Mara

    Frontiers in Heat and Mass Transfer, Vol.19, pp. 1-7, 2022, DOI:10.5098/hmt.19.25

    Abstract The study compared solar dryers with hot air from a heat exchanger double furnace during the drying of white turmeric. Solar drying is the process of drying the product in the sun. The hot air dryer consists of two furnaces with heat exchanger pipes and a drying chamber with six vertical shelves. During the test, the use of rice husk energy in a constant amount of 35 kg. Temperature and drying rate are higher in hot air dryers. Tests carried out for 420 minutes resulted in a change in moisture content from 88% to 35.88%… More >

  • Open Access

    REVIEW

    Efficacy of oral consumption of curcumin/ for symptom improvement in inflammatory bowel disease: A systematic review of animal models and a meta-analysis of randomized clinical trials

    MARLA DE CERQUEIRA ALVES1, MONISE OLIVEIRA SANTOS1, NASSIB BEZERRA BUENO1, ORLANDO ROBERTO PIMENTEL DE ARAÚJO2, MARÍLIA OLIVEIRA FONSECA GOULART2,3,4, FABIANA ANDRÉA MOURA1,5,*

    BIOCELL, Vol.46, No.9, pp. 2015-2047, 2022, DOI:10.32604/biocell.2022.020407 - 18 May 2022

    Abstract

    The roots of the vegetal Curcuma due to its high content of polyphenols, has been used successfully in several clinical situations. This review assessed the effect of curcumin/Curcuma longa on symptoms and metabolic changes in inflammatory bowel disease (IBD). A systematic review of animal models and randomized clinical trials (RCTs) was conducted by searching the following electronic databases: PubMed, CENTRAL, LILACS, Science Direct, and ClinicalTrials.gov. From 997 found records, 62 were included. More than 90% of the animal studies reported an improvement in macroscopic, histologic and/or functional activity; 80% identified decreased oxidative and/or inflammatory biomarkers in

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