Showing 821 - 840 results of 7,194 for search '"weed"', query time: 0.11s Refine Results
  1. 821

    Impact of mulch on weed infestation in System of Rice Intensification (SRI) farming by Wayayok, Aimrun, Mohd Soom, Mohd Amin, Abdan, Khalina, Mohammed, Umar

    Published 2014
    “…Weeds infestation is one of the major constrains of SRI due to wide planting geometry and moist environment, thereby reducing rice yield up to 69.15%. …”
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    Article
  2. 822
  3. 823

    A comparison of weed communities of coastal rice fields in Peninsular Malaysia by Hakim, Md. Abdul, Juraimi, Abdul Shukor, Musa, Mohamed Hanafi, Ismail, Mohd Razi, Selamat, Ahmad

    Published 2013
    “…A total of 53 different weed species belong to 18 families were identified of which 32 annual and 21 perennial; 12 grassy, 13 sedges and 28 broad leaved weeds. …”
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    Article
  4. 824
  5. 825

    Formulations of Glyphosate Using Oil Based Adjuvants and their Weed Control Efficacy by Al-Eryani, Abdul-Raqeeb Ali Ahmed

    Published 2004
    “…Six oil in water isotropic (microemulsion) formulations were selected from the phase diagram study and evaluate for their effectiveness against eight selected weeds. The efficacy of commercial glyphosate ( ~ o u n d u ~w@a)s first established against eight selected species of weeds in the glasshouse. …”
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    Thesis
  6. 826

    Effects of sea water and herbicide for salt toelarnt weed mangement in turfgrass by Uddin, Md Kamal, Juraimi, Abdul Shukor, O., Radziah, Anwar, Md Parvez

    Published 2017
    “…Sea water in combination with trifloxysulfuron-sodium and quinclorac were used to observe weed injury level in turfgrass field. The weed species viz., Sporobolus diander (L.) …”
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    Article
  7. 827

    Assessment of potential resistance to imidazolinone herbicide in three rice weed species by Razak, Nur Azrina

    Published 2015
    “…This experiment was conducted to examine the potential resistance of three rice weeds species, namely Cyperus iria, Echinochloa cruss-galli and Oryza sativa var sylvatica to imidazolinone herbicide. …”
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    Project Paper Report
  8. 828

    Mobile application development for spectral signature of weed species in rice farming by Roslin, Nor Athirah, Che'ya, Nik Norasma, Sulaiman, Nursyazyla, Nor Alahyadi, Lutfi Amir, Ismail, Mohd Razi

    Published 2021
    “…Weed infestation happens when there is intense competition between rice and weeds for light, nutrients and water. …”
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    Article
  9. 829

    UAV-based weed detection in Chinese cabbage using deep learning by Pauline Ong, Pauline Ong, Kiat Soon Teo, Kiat Soon Teo, Chee Kiong Sia, Chee Kiong Sia

    Published 2023
    “…Weeds are unwanted plants on agricultural soil. They always competing for sunlight, nutrient, space and water with economic crops. …”
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    Article
  10. 830

    UAV-based weed detection in Chinese cabbage using deep learning by Pauline Ong, Pauline Ong, Kiat Soon Teo, Kiat Soon Teo, Chee Kiong Sia, Chee Kiong Sia

    Published 2023
    “…Weeds are unwanted plants on agricultural soil. They always competing for sunlight, nutrient, space and water with economic crops. …”
    Get full text
    Article
  11. 831

    UAV-based weed detection in Chinese cabbage using deep learning by Pauline Ong, Pauline Ong, Kiat Soon Teo, Kiat Soon Teo, Chee Kiong Sia, Chee Kiong Sia

    Published 2023
    “…Weeds are unwanted plants on agricultural soil. They always competing for sunlight, nutrient, space and water with economic crops. …”
    Get full text
    Article
  12. 832

    UAV-based weed detection in Chinese cabbage using deep learning by Ong, Pauline, Soon Teo, Kiat, Sia, Chee Kiong

    Published 2023
    “…Weeds are unwanted plants on agricultural soil. They always competing for sunlight, nutrient, space and water with economic crops. …”
    Get full text
    Article
  13. 833

    UAV-based weed detection in Chinese cabbage using deep learning by Pauline Ong, Pauline Ong, Kiat Soon Teo, Kiat Soon Teo, Chee Kiong Sia, Chee Kiong Sia

    Published 2023
    “…Weeds are unwanted plants on agricultural soil. They always competing for sunlight, nutrient, space and water with economic crops. …”
    Get full text
    Article
  14. 834

    UAV-based weed detection in Chinese cabbage using deep learning by Pauline Ong, Pauline Ong, Kiat Soon Teo, Kiat Soon Teo, Chee Kiong Sia, Chee Kiong Sia

    Published 2023
    “…Weeds are unwanted plants on agricultural soil. They always competing for sunlight, nutrient, space and water with economic crops. …”
    Get full text
    Article
  15. 835

    UAV-based weed detection in Chinese cabbage using deep learning by Pauline Ong, Pauline Ong, Kiat Soon Teo, Kiat Soon Teo, Chee Kiong Sia, Chee Kiong Sia

    Published 2023
    “…Weeds are unwanted plants on agricultural soil. They always competing for sunlight, nutrient, space and water with economic crops. …”
    Get full text
    Article
  16. 836

    Allelopathic effect of imperata cylindrica (L.) beauv. extracts on the germination of weeds by A Salim, Mohamed Ali

    Published 2020
    “…Although phenolic acids [butyl phenol, phenyl 3-methylbut-2-enoate, p-coumaric acid, and p-coumaric acid methyl ester], fatty acids [phytol, methyl isohexadecanoate, palmitic acid, palmitic acid methyl ester, (9,12-Octadecadienoic acid, ethyl ester), (9Z, 12Z, 15Z�Octadecatrienoic acid, ethyl ester)], and organosilicon compounds [silicic acid, diethyl bis(trimethylsilyl) ester and cyclotrisiloxane, hexamethyl] detected in shoot and root extract were similar in some compounds, however, they show difference in phytotoxicity. 125 mg/ml of shoot aqueous extract and 0.5 mg/ml of fraction (B) shoot were the highest concentrations that affected the germination of weeds. The results show that Imperata cylindrica contains allelochemical compounds that are released from the root and shoots parts under different favorable conditions have the capability to contribute towards inhibition and stimulation in germination, lengths growth and decrease in the biomasses of other plant species.…”
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    Thesis
  17. 837

    UAV-based weed detection in Chinese cabbage using deep learning by Pauline Ong, Pauline Ong, Kiat Soon Teo, Kiat Soon Teo, Chee Kiong Sia, Chee Kiong Sia

    Published 2023
    “…Weeds are unwanted plants on agricultural soil. They always competing for sunlight, nutrient, space and water with economic crops. …”
    Get full text
    Article
  18. 838

    UAV-based weed detection in Chinese cabbage using deep learning by Pauline Ong, Pauline Ong, Kiat Soon Teo, Kiat Soon Teo, Chee Kiong Sia, Chee Kiong Sia

    Published 2023
    “…Weeds are unwanted plants on agricultural soil. They always competing for sunlight, nutrient, space and water with economic crops. …”
    Get full text
    Article
  19. 839
  20. 840