Trop Plant Pathol 36:74–80Ĭarabineiro SAC, Bogdanchikova N, Pestryakov A, Tavares PB, Fernandes LSG, Figueiredo JL (2011) Gold nanoparticles supported on magnesium oxide for CO oxidation. Plant Health Progress 3(1):18īoro MC, Beriam LOS, Guzzo SD (2011) Induced resistance against Xanthomonas axonopodis pv. CIHEAM, Zaragoza, pp 113–116īenson DM, Hall JL, Moorman GW, Daughtrey ML, Chase AR, Lamour KH (2002) The history and diseases of poinsettia, the christmas flower. In: Melgarejo P, Valero D (eds) Options Méditerranéennes Series A: Mediterranean Seminars, II International Symposium on the Pomegranate, vol 103. Plant Pathol 52:783–783īenagi VI, Ravikumar MR, Nargund VB (2012) Threat of bacterial blight on pomegranate in India-mitigation by an integrated approach. J Compos Mater 43:897–910Īysan Y, Sahin F (2003) First report of bacterial blight of anthurium caused by Xanthomonas axonopodis pv. Further studies on use of combinations of nanoparticles for management of bacterial blight are warranted.Īvanzato CP, Follieri JM, Banerjee IA, Fath KR (2009) Biomimetic synthesis and antibacterial characteristics of magnesium oxide-germanium dioxide nanocomposite powders. Thus, early disease detection and application of effective dosage of copper nanoparticles can indeed help the farmer in achieving rapid infection control. Anti-Xap activity of foliar applied CuNPs was on par with conventionally used copper oxychloride (3000 μg/ml) albeit at 8-fold reduced copper concentration. Microscopic observations revealed that CuNPs reduced the bacterial colonization of the leaf surface. In a subsequent field study on severely infected 7-year-old plants, applications of nanoparticles reduced the disease incidence by ~ 20% as compared to untreated control. Under controlled conditions (polyhouse), foliar application of CuNPs (400 μg/ml) resulted in ~ 90 and ~ 15% disease reduction in 6-month-old infected plants at early (disease severity 10%) and established (disease severity 40%) stages of infection, respectively. A time-to-kill curve indicated that Cu nanoparticles (CuNPs) killed Xap cells within 30 min at 2.5 μg/ml. The antimicrobial effectiveness was in the order Cu > ZnO > MgO > CuO with MIC (minimum inhibitory concentration) 2.5, 20, 190, 200, and 1600 μg/ml. We undertook a systematic study to assess the efficacy of metal-based nanomaterials (Cu, CuO, ZnO, CaO, MgO) for the control of Xap. Owing to the non-availability of disease-resistant varieties of pomegranate, integrated disease management involving change of season, adequate nutrition, and preventive sprays of bactericides is used to control Xap. punicae, Xap is a serious threat to commercially successful pomegranate ( Punica granatum L) crop. Support Vector Machine approach is used for classification.Bacterial blight, caused by Xanthomonas axonopodis pv. Then the next step includes training and classification. K-means clustering technique is used for partitioning training dataset into desired number of clusters according the features that has been extracted from the fruit images. Color, morphology and color coherence vector features are used for the purpose of feature extraction. In second step, feature extraction is carried out. The first steps consists image preprocessing in which images are resized. The proposed system mainly consist image preprocessing, feature extraction, clustering and classification. In this paper, a solution for the detection of pomegranate leaf disease and also the solution for that disease after detection are proposed. Smart farming is about empowering today’s farmers with the decision tools and automation technologies that seamlessly integrate products, knowledge and services for better productivity, quality and profit. In india, agricultural field plays vital role in the development of India.
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