Forthcoming articles

International Journal of Agricultural Resources, Governance and Ecology

International Journal of Agricultural Resources, Governance and Ecology (IJARGE)

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International Journal of Agricultural Resources, Governance and Ecology (5 papers in press)

Regular Issues

  • Water-based formulation of neem for eco-friendly management of Pomacea canaliculata in paddy cultivation   Order a copy of this article
    by Rosdiyani Massaguni, Siti Noor Hajjar Md Latip, Ismail Ab Raman 
    Abstract: Pomacea canaliculata causes devastating losses on paddy production and farmers mostly rely on synthetic molluscicide to control this pest. Inappropriate use of this synthetic molluscicide has aggravated the problems to the environment and human health. This study aims to develop a water-based formulation of neem seed as biomolluscicide to control Pomacea canaliculata. The formulations were prepared in three different types of oleochemicals and the system were stabilized using mixtures composed of surfactants (Tween
    Keywords: Bioassay; neem; oleochemicals; Pomacea canaliculata; water-based formulation.

  • Effect of Antimicrobial Activity from Fermented Mature Coconut Water to Sheath Brown Rot of Rice Disease   Order a copy of this article
    by Mohd Zafri Ab Wahab, Nurul Basyeroh Hasan, Fatin Amirah Bakhari, Intan Sakinah Mohd Anuar, Zaiton Sapak 
    Abstract: Rotting of grains or sheaths caused by Pseudomonas fuscovaginae is common for mature plants and grains of seedlings. This study explored the effect of antimicrobial activity from fermented mature coconut water to understand better a certain kind of rotting in sheaths of rice plants screened against the pathogen. Fermented matured coconut water was extracted with methanol solvent demonstrated the highest activity with 20.02 mm of inhibition followed by water solvent with 10.10 mm of inhibition. Both negative controls for methanol and water-based extracts showed no inhibition activities towards the pathogen. Methanol extraction was then determined for minimal inhibitory concentration (MIC) and minimal bactericidal concentration (MBC). The finding indicated that 20% (v/v) concentration was recorded as MIC and 30% (v/v) concentration as MBC for this pathogen to reduce the disease lesion length significantly (P<0.05). The findings from this study will be useful for agriculture related agencies in controlling the disease for a higher productivity of rice production.
    Keywords: Fermented mature coconut water; Anti-microbes; Sheath brown rot; Pseudomonas fuscovaginae.

  • Natural fermentation as a tool to enhance the functionality of agricultural crops: A case study on Carica papaya leaf and Garcinia mangostana pericarp   Order a copy of this article
    by Mohamad Sufian Soaib, Jailani Salihon, Huey Ling Tan 
    Abstract: The effect of natural fermentation on enhancing the antioxidant activity and cultivation of probiotics of Carica papaya leaf (CPL) and Garcinia mangostana pericarp (GMP) was evaluated to enhance the functionality of agricultural yields. To have better production, the antioxidant activity was estimated in terms of 2,2-Diphenyl-1-picrylhydrazyl (DPPH) scavenging activity (radical model) by Trolox (antioxidant model) and expressed as Trolox equivalent (mg TE) per dried extract mass (g) i.e. mg TE/g. The antioxidant activity of fermented CPL and GMP extracts were 1,117
    Keywords: Carica papaya leaf; Garcinia mangostana pericarp; natural fermentation; antioxidant activity; probiotics.

  • The Use of Yogurt bacteria in Increasing the Growth Performance of Diseased Paddy   Order a copy of this article
    by Nadia Salim, Siti Sarah Jumali 
    Abstract: There is no report on the use of the yogurt bacteria Lactobacillus bulgaricus as a plant growth promoter, especially in increasing the growth performance of paddy. Lactobacillus bulgaricus is a widely used lactic acid bacterium in making yogurt for commercial consumption due to its probiotic properties. Some Lactobacillus spp such as Lactobacillus casei and Lactobacillus plantarum are used in effective microorganisms in fertilizers to promote better growth performance in plants while reducing bacterial infection. With this background, in this study, the effects of L. bulgaricus isolated from yakult on the growth performance of Bacterial Leaf Blight (BLB) diseased paddy were investigated. The applications used on the Bacterial Leaf Blight (BLB) to the diseased paddy were 103 cfu (Treatment 1), 104 cfu (Treatment 2), 105 cfu (Treatment 3) and 106 cfu (Treatment 4). According to the t-test performed, it is established that L. bulgaricus imposes a significant increase in plant height and reducing chlorophyll content while insignificant in reducing leaf infection. This study widens the scope of study of yogurt bacteria on diseased paddy to find further causes of chlorophyll content in promoting the growth of paddy.
    Keywords: Lactobacillus bulgaricus; Bacterial Leaf Blight (BLB); Growth performance.

  • Classification of Wheat Seeds Using Image Processing and Fuzzy Clustered Random Forest   Order a copy of this article
    by Parminder Singh, Anand Nayyar, Simranjeet Singh, Avinash Kaur 
    Abstract: A reliable and autonomic seed classification technique can overcome the issues of manual seed classification. It is a highly practical and economically vital need of the agriculture industry. The current techniques of machine learning and artificial intelligence allows the researchers to design a new data mining mechanism with higher accuracy. In this article, a new adaptive technique has been proposed using a digital image processing system (DIPS) and fuzzy clustered random forest (FCRF) techniques. The DIPS is used to extract the parameters such as area, perimeter, height, width, length of the groove and asymmetry coefficient. Further, FCRF model is applied to classify the wheat seeds based on these parameters in a time-efficient manner. The devised approach helps the agriculture industry for seed classification, separation of damaged seeds and controlling the quality of seeds based on grading policy. The experiment result demonstrates that the accuracy of the proposed technique is better than the existing wheat seed classification algorithm. The average performance gain of the proposed technique is up to 97.7%.
    Keywords: classification; wheat seeds; image processing; fuzzy clustering; random forest; agriculture.
    DOI: 10.1504/IJARGE.2020.10030235