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  • Open Access

    ARTICLE

    Modeling and Estimating Soybean Leaf Area Index and Biomass Using Machine Learning Based on Unmanned Aerial Vehicle-Captured Multispectral Images

    Sadia Alam Shammi1,2, Yanbo Huang1,*, Weiwei Xie1,2, Gary Feng1, Haile Tewolde1, Xin Zhang3, Johnie Jenkins1, Mark Shankle4

    Phyton-International Journal of Experimental Botany, Vol.94, No.9, pp. 2745-2766, 2025, DOI:10.32604/phyton.2025.068955 - 30 September 2025

    Abstract Crop leaf area index (LAI) and biomass are two major biophysical parameters to measure crop growth and health condition. Measuring LAI and biomass in field experiments is a destructive method. Therefore, we focused on the application of unmanned aerial vehicles (UAVs) in agriculture, which is a cost and labor-efficient method. Hence, UAV-captured multispectral images were applied to monitor crop growth, identify plant bio-physical conditions, and so on. In this study, we monitored soybean crops using UAV and field experiments. This experiment was conducted at the MAFES (Mississippi Agricultural and Forestry Experiment Station) Pontotoc Ridge-Flatwoods Branch… More >

  • Open Access

    ARTICLE

    Assessing Stress Tolerance of SUBI and DRO1 Introgression Lines under Flooding and Drought Conditions at Different Growth Stages

    Ibrahim Soe1,2, Emmanuel Odama3, Alex Tamu1,2, Aquilino Lado Legge Wani1,4, Taiichiro Ookawa5, Abdelbagi M. Ismail6, Jun-Ichi Sakagami1,7,*

    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 >

  • Open Access

    ARTICLE

    Sources of Nitrogen in Combination with Systems of Irrigation Influence the Productivity of Modern Rice (Oryza sativa L.) Cultivars during Dry Season in Sub-Tropical Environment

    Uttam Kumer Sarker1, Md. Romij Uddin1,*, Ahmed Khairul Hasan1, Md. Abdur Rahman Sarkar1, Md. Abdus Salam1, Md. Alamgir Hossain2, Eldessoky S. Dessoky3, Ismail A. Ismail3

    Phyton-International Journal of Experimental Botany, Vol.91, No.8, pp. 1687-1708, 2022, DOI:10.32604/phyton.2022.020645 - 14 April 2022

    Abstract In irrigated agricultural systems, nitrogen (N) and water are the vital resources for sustainability of the crop production in the modern era of climate change. The current study aimed to assess the impact of water and N management on the productivity of irrigated rice cultivars. In the context, a field observation was done at the research farm of Bangladesh Agricultural University, Mymensingh, during dry seasons in consecutive two years (2018–2019 and 2019–2020). The experiments were set up following split-plot design assigning water management in the main plots, nitrogen management in the sub-plots, and the cultivars… More >

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