Qingtao Meng, Sang-Hyun Lee^*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-15, 2026, DOI:10.32604/cmc.2025.069970 - 10 November 2025

Abstract This study proposes a lightweight rice disease detection model optimized for edge computing environments. The goal is to enhance the You Only Look Once (YOLO) v5 architecture to achieve a balance between real-time diagnostic performance and computational efficiency. To this end, a total of 3234 high-resolution images (2400 × 1080) were collected from three major rice diseases Rice Blast, Bacterial Blight, and Brown Spot—frequently found in actual rice cultivation fields. These images served as the training dataset. The proposed YOLOv5-V2 model removes the Focus layer from the original YOLOv5s and integrates ShuffleNet V2 into the… More >

Yağmur Yılan, Ahad Beykent^*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-16, 2026, DOI:10.32604/cmc.2025.068440 - 10 November 2025

Abstract Accurate short-term electricity price forecasts are essential for market participants to optimize bidding strategies, hedge risk and plan generation schedules. By leveraging advanced data analytics and machine learning methods, accurate and reliable price forecasts can be achieved. This study forecasts day-ahead prices in Türkiye’s electricity market using eXtreme Gradient Boosting (XGBoost). We benchmark XGBoost against four alternatives—Support Vector Machines (SVM), Long Short-Term Memory (LSTM), Random Forest (RF), and Gradient Boosting (GBM)—using 8760 hourly observations from 2023 provided by Energy Exchange Istanbul (EXIST). All models were trained on an identical chronological 80/20 train–test split, with hyperparameters More >

Guiling Xu^1,#, Xiaoxuan You^1,#, Yuehua Feng^1,2,*, Xiaoke Wang¹, Yuqi Gao¹, Hongjun Ren¹, Zhili Han¹, Jiale Li¹

Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3251-3268, 2025, DOI:10.32604/phyton.2025.067997 - 29 October 2025

Abstract Nitrogen (N) reduction combined with organic fertilizer has become a highly popular fertilization method, meeting the sustainable development of agriculture. A field experiment was conducted to investigate the effects of N reduction (NR) and combined application of organic fertilizer (OF) on N utilization, yield, and quality of hybrid indica rice in the karst area. Using rice ‘Yixiangyou2115’ as the material, a split-plot design experiment was carried out with OF application rate as the main plots and NR rate as the subplots. The OF application rate had three levels: M0 (0 kg/ha), M1 (low OF, 1673… More >

Yukun Yang^*, Jun He, Wenfeng Chen, Zhi Li, Kun Chen

Energy Engineering, Vol.122, No.11, pp. 4653-4678, 2025, DOI:10.32604/ee.2025.068199 - 27 October 2025

Abstract To address the issues of unclear carbon responsibility attribution, insufficient renewable energy absorption, and simplistic carbon trading mechanisms in integrated energy systems, this paper proposes an electric-heat-hydrogen integrated energy system (EHH-IES) optimal scheduling model considering carbon emission stream (CES) and wind-solar accommodation. First, the CES theory is introduced to quantify the carbon emission intensity of each energy conversion device and transmission branch by defining carbon emission rate, branch carbon intensity, and node carbon potential, realizing accurate tracking of carbon flow in the process of multi-energy coupling. Second, a stepped carbon pricing mechanism is established to… More >

Cheng Yong^1,2,3,4,5, Enhui Sun^1,*, Xiaodong Fan^1,4, Zhiping Zhang⁵, Jing Zhang¹, Ling Chen¹, Ping Qu¹, Qiujun Wang¹, Hongying Huang¹, Hongmei Jin¹, Mingjie Guan^4,*

Journal of Renewable Materials, Vol.13, No.9, pp. 1803-1817, 2025, DOI:10.32604/jrm.2025.02025-0059 - 22 September 2025

Abstract Long-time fermentation has always been one of the reasons restricting the development of straw biological pulping. This study aimed to develop a novel straw pulp film with shortened solid-state fermentation time with less than 20% mass loss rate by bio-pulping synergistic treatment of straw fibers with deep eutectic solvent (DES) and Streptomyces rochei (S. rochei). Results illustrated that at 3% S. rochei concentration with 7-day fermentation, both cellulose and hemicellulose enzyme activities of the treated rice straw fiber reached peak values with a fiber mass loss rate of 17.01%. Microstructural morphology revealed that S. rochei colonization initiated on straw… More > Graphic Abstract

Junseo Lee¹, Bongsoo Jang¹, Umer Saeed^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 2165-2189, 2025, DOI:10.32604/cmes.2025.069023 - 31 August 2025

Abstract In recent years, variable-order fractional partial differential equations have attracted growing interest due to their enhanced ability to model complex physical phenomena with memory and spatial heterogeneity. However, existing numerical methods often struggle with the computational challenges posed by such equations, especially in nonlinear, multi-term formulations. This study introduces two hybrid numerical methods—the Linear-Sine and Cosine (L1-CAS) and fast-CAS schemes—for solving linear and nonlinear multi-term Caputo variable-order (CVO) fractional partial differential equations. These methods combine CAS wavelet-based spatial discretization with L1 and fast algorithms in the time domain. A key feature of the approach is More >

Jiexiong Xu^*

Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2365-2383, 2025, DOI:10.32604/phyton.2025.067124 - 29 August 2025

Abstract Background: Rice grain morphology—including traits such as awn length, hull color, size, and shape—is of central importance to yield, quality, and domestication, yet comprehensive quantification at scale has remained challenging. A promising solution has been provided by the integration of high-throughput imaging with genomic analysis. Methods: A standardized 2D image-processing pipeline was established to extract four categories of traits—awn length, hull color, projected grain area, and shape descriptors via PCA of normalized contours—from high-resolution photographs of 229 Oryza sativa japonica landraces. Genome-wide association analyses were then performed using a mixed linear model to control for population… More >

Xin Zhang^1,*, Shixing Zhang¹, Lina Chen², Jihong Zhang¹, Peihong Yang¹, Zilei Zhang¹, Xiaoming Zhang¹

Energy Engineering, Vol.122, No.9, pp. 3647-3679, 2025, DOI:10.32604/ee.2025.067035 - 26 August 2025

Abstract A park hydrogen-doped integrated energy system (PHIES) can maximize energy utilization as a system with multiple supplies. To realize win-win cooperation between the PHIES and active distribution network (ADN), the cooperative operation problem of multi-PHIES connected to the same ADN is studied. A low-carbon hybrid game coordination strategy for multi-PHIES accessing ADN based on dynamic carbon base price is proposed in the paper. Firstly, multi-PHIES are constructed to form a PHIES alliance, including a hydrogen-doped gas turbine (HGT), hydrogen-doped gas boiler (HGB), power to gas and carbon capture system (P2G-CCS), and other equipment. Secondly, a… More > Graphic Abstract

Jinge Li^1,2, Chuyao Wang^1,2, Fangbo Cao^1,2, Min Huang^1,2,*, Jiana Chen^1,2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 2155-2165, 2025, DOI:10.32604/phyton.2025.066940 - 31 July 2025

Abstract Grain filling is a critical determinant of yield and quality in rice. This study aims to clarify the association between grain photosynthesis and the filling rate of rice varieties with different grain weights, providing a theoretical foundation for optimizing grain-filling processes. Two rice varieties with similar growth duration but different grain weights were selected: a large-grain variety, Lingliangyou 268 (L268), and a small-grain variety, Ruiliangyou 1053 (R1053). Differences in grain filling, grain photosynthetic rate, and grain chlorophyll content were systematically examined during the filling stage. Results showed significant differences in grain-filling, grain photosynthetic rate, and… More >

Kaihao Shi^1,2, Lin Yuan^1,2,*, Qimeng Yu³, Zhongting Shen², Yingtan Yu², Chenwei Nie¹, Xingjian Zhou³, Jingcheng Zhang³

Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 2033-2054, 2025, DOI:10.32604/phyton.2025.066286 - 31 July 2025

Abstract Plant diseases are a major threat that can severely impact the production of agriculture and forestry. This can lead to the disruption of ecosystem functions and health. With its ability to capture continuous narrow-band spectra, hyperspectral technology has become a crucial tool to monitor crop diseases using remote sensing. However, existing continuous wavelet analysis (CWA) methods suffer from feature redundancy issues, while the continuous wavelet projection algorithm (CWPA), an optimization approach for feature selection, has not been fully validated to monitor plant diseases. This study utilized rice bacterial leaf blight (BLB) as an example by… More >