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 >

Vina Eka Aristya¹, Sri Minarsih¹, Kristamtini¹, I Gusti Komang Dana Arsana¹, Samijan¹, Setyorini Widyayanti¹, Sodiq Jauhari¹, Arif Susila¹, Ni Wayan Trisnawati¹, I Ketut Mahaputra¹, I Nyoman Suyasa¹, Opik Mahendra², Supriyanta³, Gilang Wirakusuma³, Taufan Alam³, Taryono^3,*

Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 2055-2073, 2025, DOI:10.32604/phyton.2025.065227 - 31 July 2025

Abstract Rice, as a primary commodity, needs to be increased in production while facing the sustainability challenges of limited land, water resources, and climate change. The demand for rice productivity was not enough to rely only on the fertile fields’ ability; it is necessary to consider the rainfed land potential. Cultivation in rainfed land involves biophysical pressure, low production, and limited access to superior varieties. Participatory rice breeding aimed to identify farmers’ trait preferences and develop acceptable lines. A bottom-up approach involved 203 farmers from four rainfed fields in Indonesia, i.e., Semarang-Central Java, Kulon Progo-Yogyakarta, Tabanan-Bali,… More >

Zhenhao Wang¹, Hongwei Li^1,*, Dan Pang², Jinming Ge¹

Energy Engineering, Vol.122, No.8, pp. 3223-3242, 2025, DOI:10.32604/ee.2025.063615 - 24 July 2025

Abstract Aiming at the problem of increasing the peak-to-valley difference of grid load and the rising cost of user charging caused by the disorderly charging of large-scale electric vehicles, this paper proposes a coordinated charging scheduling strategy for multiple types of electric vehicles based on the degree of urgency of vehicle use. First, considering the range loss characteristics, dynamic time-sharing tariff mechanism, and user incentive policy in the low-temperature environment of northern winter, a differentiated charging model is constructed for four types of vehicles: family cars, official cars, buses, and cabs. Then, we innovatively introduce the… More >

Fuheng Qu¹, Hailong Li^1,*, Ping Wang², Sike Guo², Lu Wang², Xiaofeng Li^3,*

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 3911-3925, 2025, DOI:10.32604/cmc.2025.063820 - 03 July 2025

Abstract Rice spike detection and counting play a crucial role in rice yield research. Automatic detection technology based on Unmanned Aerial Vehicle (UAV) imagery has the advantages of flexibility, efficiency, low cost, safety, and reliability. However, due to the complex field environment and the small target morphology of some rice spikes, the accuracy of detection and counting is relatively low, and the differences in phenotypic characteristics of rice spikes at different growth stages have a significant impact on detection results. To solve the above problems, this paper improves the You Only Look Once v8 (YOLOv8) model,… More >

Trong Hieu Luu¹, Phan Nguyen Ky Phuc², Quang Hieu Ngo^1,*, Thanh Tam Nguyen³, Huu Cuong Nguyen¹

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5643-5656, 2025, DOI:10.32604/cmc.2025.064007 - 19 May 2025

Abstract This study presents a drone-based aerial imaging method for automated rice seedling detection and counting in paddy fields. Utilizing a drone equipped with a high-resolution camera, images are captured 14 days post-sowing at a consistent altitude of six meters, employing autonomous flight for uniform data acquisition. The approach effectively addresses the distinct growth patterns of both single and clustered rice seedlings at this early stage. The methodology follows a two-step process: first, the GoogleNet deep learning network identifies the location and center points of rice plants. Then, the U-Net deep learning network performs classification and… More >

Xingxu Zhu¹, Guiqing Zhao¹, Gangui Yan¹, Junhui Li^1,*, Hongda Dong², Chenggang Li²

Energy Engineering, Vol.122, No.5, pp. 1645-1668, 2025, DOI:10.32604/ee.2025.063192 - 25 April 2025

Abstract The participation of wind farms in the former energy market faces challenges such as power fluctuations and energy storage construction costs. To this end, this paper proposes a joint energy storage operation scheme for multiple wind farms based on a leasing model, which assists wind farms in bidding for participation in the former energy market through leasing services, thereby enhancing energy storage efficiency and maximizing economic benefits. In this paper, based on the Weibull probability distribution to portray the uncertainty of wind power, and considering the lifetime capacity loss caused by charging and discharging of… More > Graphic Abstract

Ibrahim Soe^1,2, Emmanuel Odama³, Alex Tamu^1,2, Aquilino Lado Legge Wani^1,4, Taiichiro Ookawa⁵, Abdelbagi M. Ismail⁶, Jun-Ichi Sakagami^1,7,*

Phyton-International Journal of Experimental Botany, Vol.94, No.2, pp. 303-316, 2025, DOI:10.32604/phyton.2025.060016 - 06 March 2025

Abstract Rice varieties tolerant to submergence regulate shoot elongation during short-term submergence by expressing the SUB1A gene. In contrast, the deep-rooted DRO1 is effectively expressed under drought conditions to enhance water and nutrient uptake. This study investigates the growth and yield of rice with both SUB1A and DRO1 in the background of IR64, under early-season flooding, and mid-season drought. The study used a randomized complete design with two factors: soil moisture treatments (submergence, drought, and their combination) and genotypes. The genotypes included IR64, and three near-isogenic lines (NILs): NIL-SUB1DRO1, NIL-SUB1, and NIL-DRO1. Complete submergence was imposed for 7… More >

Eman Alhomaidi¹, Aisha Umar^2,*, Mustansar Mubeen³, Laurent Dufossé⁴, Yasir Iftikhar^3,*, Arpita Das⁵, Soumya Ghosh⁶, Muhammad Sibt-e-Abbas⁷

Phyton-International Journal of Experimental Botany, Vol.94, No.2, pp. 407-420, 2025, DOI:10.32604/phyton.2025.058035 - 06 March 2025

Abstract Aspergillus species produce aflatoxins and raise concerns about food safety in departmental stores and manufacturing mills. To address the risks posed by aflatoxins, and to advise the public on the highest quality rice that serves as a nutritious food source, an inquiry following the guidelines outlined in both local and international standards of food safety for the presence of aflatoxins is an essential requirement. Therefore, 16 white rice samples were selected randomly from low/high socio-economic departmental stores from 16 different localities. Grind powdered rice filtrate was extracted using chloroform. The filtrate applied on TLC plates and… More > Graphic Abstract