Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (200)
  • Open Access

    ARTICLE

    YOLO-CRD: A Lightweight Model for the Detection of Rice Diseases in Natural Environments

    Rui Zhang1,2, Tonghai Liu1,2,*, Wenzheng Liu1,2, Chaungchuang Yuan1,2, Xiaoyue Seng1,2, Tiantian Guo1,2, Xue Wang1,2

    Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1275-1296, 2024, DOI:10.32604/phyton.2024.052397

    Abstract Rice diseases can adversely affect both the yield and quality of rice crops, leading to the increased use of pesticides and environmental pollution. Accurate detection of rice diseases in natural environments is crucial for both operational efficiency and quality assurance. Deep learning-based disease identification technologies have shown promise in automatically discerning disease types. However, effectively extracting early disease features in natural environments remains a challenging problem. To address this issue, this study proposes the YOLO-CRD method. This research selected images of common rice diseases, primarily bakanae disease, bacterial brown spot, leaf rice fever, and dry… More >

  • Open Access

    ARTICLE

    Analysis of Intraspecies Diversity of Rice Reveals Variation Patterns of Oryza sativa Basic Leucine Zippers

    Jing Wang1,#, Wenqing Xiao1,#, Qingnan Wang1, Xu Wang1, Bin Jiang1, Yangchun Han2, Yang Sun1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.5, pp. 859-873, 2024, DOI:10.32604/phyton.2024.048151

    Abstract The basic leucine zipper (bZIP) is an important class of transcription factors in plants, playing a critical role in plant growth and development and responses to biotic and abiotic stress. Due to gene presence/absence variations, it is limited to identify bZIP genes based on the reference genome. Therefore, we performed the bZIP gene family analysis in the rice pan-genome. By employing a rice pan-genome, ninety-four OsbZIPs (72 core genes and 22 variable genes) were identified and divided into 11 groups in a phylogenetic tree. Based upon Ka/Ks values in 33 accessions, OsbZIPs were subjected to different selection… More >

  • Open Access

    ARTICLE

    Development of Spectral Features for Monitoring Rice Bacterial Leaf Blight Disease Using Broad-Band Remote Sensing Systems

    Jingcheng Zhang1, Xingjian Zhou1, Dong Shen1, Qimeng Yu1, Lin Yuan2,*, Yingying Dong3

    Phyton-International Journal of Experimental Botany, Vol.93, No.4, pp. 745-762, 2024, DOI:10.32604/phyton.2024.049734

    Abstract As an important rice disease, rice bacterial leaf blight (RBLB, caused by the bacterium Xanthomonas oryzae pv. oryzae), has become widespread in east China in recent years. Significant losses in rice yield occurred as a result of the disease’s epidemic, making it imperative to monitor RBLB at a large scale. With the development of remote sensing technology, the broad-band sensors equipped with red-edge channels over multiple spatial resolutions offer numerous available data for large-scale monitoring of rice diseases. However, RBLB is characterized by rapid dispersal under suitable conditions, making it difficult to track the disease at… More >

  • Open Access

    ARTICLE

    Changes in Leaf Stomatal Properties in Rice with the Growing Season

    Jiana Chen1,2, Fangbo Cao1,2, Min Huang1,2,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.4, pp. 807-817, 2024, DOI:10.32604/phyton.2024.048299

    Abstract Transplanting rice varieties grown in different seasons can lead to different yields due to different dry matter production. Early-season rice varieties transplanted in the late season can obtain high yields with short-growth duration and higher yields driven by higher dry matter production. To make clear the variations in dry matter production across seasons, four early-season rice varieties were chosen for late-season transplantation. The grain yield, dry matter accumulation, leaf photosynthetic, and leaf stomatal properties were studied. It was observed that the average yields of these four varieties in the late season were 33% greater, despite… More >

  • Open Access

    ARTICLE

    Synthesis of poly(ω-pentadecalactone) using Lipase Immobilized onto a Renewable Carrier, Rice husk ash and their Characterization

    CANSU ULKER TURAN1,*, YUKSEL GUVENILIR1

    Journal of Polymer Materials, Vol.38, No.3-4, pp. 271-280, 2021, DOI:10.32381/JPM.2021.38.3-4.8

    Abstract Rice husk ash is a side-product of rice production; thus, it is a cheap, abundant, and renewable material, and utilized as an enzyme carrier to immobilize Candida antarctica lipase B. In this study, Candida antarctica lipase B immobilized onto rice husk ashes was used to catalyze ring opening polymerization of 16-membered lactone, ω-pentadecalactone. In order to determine the best polymerization conditions for highest molar mass polymer, reactions were proceeded at various temperatures and time periods. The best reaction conditions were obtained as 80°C and 6 hours (Mn = 34255 g mol-1). Molecular structure of this polymer More >

  • Open Access

    ARTICLE

    Enhancing the Performance of Polylactic Acid (PLA) Reinforcing with Sawdust, Rice Husk, and Bagasse Particles

    A. MADHAN KUMAR1, K. JAYAKUMAR2,*, M. SHALINI3

    Journal of Polymer Materials, Vol.39, No.3-4, pp. 269-281, 2022, DOI:10.32381/JPM.2022.39.3-4.7

    Abstract Polylactic acid (PLA) is the most popular thermoplastic biopolymer providing a stiffness and strength alternative to fossil-based plastics. It is also the most promising biodegradable polymer on the market right now, thus gaining a substitute for conservative artificial polymers. Therefore, the current research focuses on synthesizing and mechanical characterization of particlereinforced PLA composites. The hot compression molding technique was used to fabricate PLA-based composites with 0, 2.5, 5, and 7.5 weight % of sawdust, rice husk, and bagasse particle reinforcements to enhance the performance of the PLA. The pellets of PLA matrix were taken with… More >

  • Open Access

    ARTICLE

    Optimizing Household Wastes (Rice, Vegetables, and Fruit) as an Environmentally Friendly Electricity Generator

    Deni Ainur Rokhim1,2, Isma Yanti Vitarisma1, Sumari Sumari1,*, Yudhi Utomo1, Muhammad Roy Asrori1

    Journal of Renewable Materials, Vol.12, No.2, pp. 275-284, 2024, DOI:10.32604/jrm.2023.043419

    Abstract The high consumption of electricity and issues related to fossil energy have triggered an increase in energy prices and the scarcity of fossil resources. Consequently, many researchers are seeking alternative energy sources. One potential technology, the Microbial Fuel Cell (MFC) based on rice, vegetable, and fruit wastes, can convert chemical energy into electrical energy. This study aims to determine the potency of rice, vegetable, and fruit waste assisted by Cu/Mg electrodes as a generator of electricity. The method used was a laboratory experiment, including the following steps: electrode preparation, waste sample preparation, incubation of the… More >

  • Open Access

    REVIEW

    A Review on the Application of Deep Learning Methods in Detection and Identification of Rice Diseases and Pests

    Xiaozhong Yu1,2,*, Jinhua Zheng1,2

    CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 197-225, 2024, DOI:10.32604/cmc.2023.043943

    Abstract In rice production, the prevention and management of pests and diseases have always received special attention. Traditional methods require human experts, which is costly and time-consuming. Due to the complexity of the structure of rice diseases and pests, quickly and reliably recognizing and locating them is difficult. Recently, deep learning technology has been employed to detect and identify rice diseases and pests. This paper introduces common publicly available datasets; summarizes the applications on rice diseases and pests from the aspects of image recognition, object detection, image segmentation, attention mechanism, and few-shot learning methods according to More >

  • Open Access

    ARTICLE

    Flexible Load Participation in Peaking Shaving and Valley Filling Based on Dynamic Price Incentives

    Lifeng Wang1, Jing Yu2,*, Wenlu Ji1

    Energy Engineering, Vol.121, No.2, pp. 523-540, 2024, DOI:10.32604/ee.2023.041881

    Abstract Considering the widening of the peak-valley difference in the power grid and the difficulty of the existing fixed time-of-use electricity price mechanism in meeting the energy demand of heterogeneous users at various moments or motivating users, the design of a reasonable dynamic pricing mechanism to actively engage users in demand response becomes imperative for power grid companies. For this purpose, a power grid-flexible load bilevel model is constructed based on dynamic pricing, where the leader is the dispatching center and the lower-level flexible load acts as the follower. Initially, an upper-level day-ahead dispatching model for… More >

  • Open Access

    ARTICLE

    Responses of Wheat Production, Quality, and Soil Profile Properties to Biochar Applied at Different Seasons in a Rice-Wheat Rotation

    Lipei Chen, Rilie Deng, Xuewen Li, Min Yu, Hongdong Xiao*

    Phyton-International Journal of Experimental Botany, Vol.92, No.12, pp. 3359-3370, 2023, DOI:10.32604/phyton.2023.046877

    Abstract

    In the rice-wheat rotation system, biochar (BC) can be applied at the initiation of the rice or wheat season. Here, we compared the effects of BC that were applied at two different crop seasons on wheat production, quality, and soil profile properties in a rice-wheat rotation system with nitrogen (N) fertilizer applied at 280 kg/ha rate. Results showed that both wheat grain production and N recovery use efficiency were influenced by BC applied at two crop seasons. Biochar application did not affect the total non-essential amino-acid, but when applied during wheat season, BC significantly (p

    More >

Displaying 1-10 on page 1 of 200. Per Page