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  • Open Access


    An Adaptive Edge Detection Algorithm for Weed Image Analysis

    Yousef Alhwaiti1,*, Muhammad Hameed Siddiqi1, Irshad Ahmad2

    Computer Systems Science and Engineering, Vol.47, No.3, pp. 3011-3031, 2023, DOI:10.32604/csse.2023.042110

    Abstract Weeds are one of the utmost damaging agricultural annoyers that have a major influence on crops. Weeds have the responsibility to get higher production costs due to the waste of crops and also have a major influence on the worldwide agricultural economy. The significance of such concern got motivation in the research community to explore the usage of technology for the detection of weeds at early stages that support farmers in agricultural fields. Some weed methods have been proposed for these fields; however, these algorithms still have challenges as they were implemented against controlled environments.… More >

  • Open Access


    Evaluation of Pre-Emergence and Post-Emergence Herbicides for Weed Management in Miscanthus sacchariflorus and Miscanthus sinensis

    Bimal Kumar Ghimire1, Chang Yeon Yu2, Seung Hyun Kim1, Ill Min Chung1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1439-1467, 2023, DOI:10.32604/phyton.2023.023076

    Abstract Miscanthus, is a promising bioenergy crop, considered superior to other bioenergy crops because of its higher water and nutrient use efficiency, cold tolerance, and higher production of biomass. Broadleaf weeds and grass weeds, cause major problems in the Miscanthus field. A field experiment was conducted in 2018 and 2019, to assess the effects of pre-emergence (alachlor and napropamide) and post-emergence herbicides (nicosulfuron, dicamba, bentazon, and glufosinate ammonium) on broadleaf and grass weeds in M. sinensis and M. sacchariflorus fields. The weed control efficiency and phytotoxicity of pre- and post-emergence herbicides were evaluated at 30 days after treatment (DAT) and… More >

  • Open Access


    Estimating Carbon Capture Potential of Fallow Weeds in Rice Cropping Systems

    Ge Chen1,2, Yuling Kang1, Fangbo Cao1, Jiana Chen1, Min Huang1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 71-77, 2023, DOI:10.32604/phyton.2022.022313

    Abstract Weeds occurred during the fallow season can well perform the function of carbon (C) capture due to receiving little human disturbance. This study aimed to evaluate the C capture potential of fallow weeds in rice (Oryza sativa L.) cropping systems. A six-region, two-year on-farm investigation and a three-year tillage experiment were conducted to estimate C capture in fallow weeds in rice cropping systems. The on-farm investigation showed that the average mean C capture by fallow weeds across six regions and two years reached 112 g m–2. The tillage experiment indicated that no-tillage practices increased C capture by More >

  • Open Access


    Antimicrobial activities of three seaweeds extract against some human viral and bacterial pathogens


    BIOCELL, Vol.46, No.1, pp. 247-261, 2022, DOI:10.32604/biocell.2022.015966


    Microbial infections cause complicated health influences along with bad economic impacts. In the present investigation, three dominant seaweeds namely, Amphiroa anceps, Corallina officinalis and Sargassum filipendula were collected from different Egyptian sites at the Red Sea and Mediterranean Sea during autumn 2019. Organic extracts of the three algae were screened for their antibacterial activity against three pathogenic bacteria Salmonella typhiimurium, Staphylococcus aureus and Escherichia coli, in addition to in vitro antiviral activity against Rotavirus (RV), and Coxsackie virus B3 (CVB3) that cause severe diseases in human. Organic extract of A. anceps, C. officinalis and S. filipendula inhibit E. coli cells by 57.1%, 85.7%, and 91.4%, respectively.

    More >

  • Open Access


    A Deep Learning-Based Novel Approach for Weed Growth Estimation

    Anand Muni Mishra1, Shilpi Harnal1, Khalid Mohiuddin2, Vinay Gautam1, Osman A. Nasr2, Nitin Goyal1, Mamdooh Alwetaishi3, Aman Singh4,*

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 1157-1173, 2022, DOI:10.32604/iasc.2022.020174

    Abstract Automation of agricultural food production is growing in popularity in scientific communities and industry. The main goal of automation is to identify and detect weeds in the crop. Weed intervention for the duration of crop establishment is a serious difficulty for wheat in North India. The soil nutrient is important for crop production. Weeds usually compete for light, water and air of nutrients and space from the target crop. This research paper assesses the growth rate of weeds due to macronutrients (nitrogen, phosphorus and potassium) absorbed from various soils (fertile, clay and loamy) in the… More >

  • Open Access


    Allelopathic testing of Pedicularis kansuensis (Scrophulariaceae) on seed germination and seedling growth of two native grasses in the Tibetan plateau

    Shang ZH1,2, SG Xu1

    Phyton-International Journal of Experimental Botany, Vol.81, pp. 75-79, 2012, DOI:10.32604/phyton.2012.81.075

    Abstract Pedicularis kansuensis is a dominating poisonous weed, and it might have allelopathic effects on other native grasses in alpine meadows. An experiment was conducted to examine a range of concentrations of aqueous whole plant extracts (25, 12.5, 2.5, 1.25, 0.25 and 0.0 g/L) of P. kansuensis, prepared at the flowering stage on seed germination and seedling growth of two native grasses (Poa pratensis and Elymus nutans). High concentrations of aqueous extracts of P. kansuensis inhibited seed germination and seedling growth of P. pratensis (p<0.05). Most aqueous extracts of P. kansuensis had a stimulatory (p<0.05) effect on E. nutans. Our results suggest that the More >

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