1. Effect of belowground deployment of entomopathogenic fungus Metarhizium brunneum on strawberry plants and aboveground pestsJaka Razinger, Darinka Koron, Špela Modic, Eva Praprotnik, Primož Žigon, Uroš Žibrat, Matej Knapič, Janez Lapajne, Andrej Vončina, Lovro Sinkovič, Nika Cvelbar Weber, 2023, other scientific articles Keywords: biological control, integrated pest management, agricultural entomology, entomopathogenic fungi, hyperspectral imaging, remote sensing, plant-microbe-pest interaction, plant physiology, rhizosphere competence
Published in DiRROS: 27.07.2023; Views: 601; Downloads: 0 |
2. Comparison of selected dimensionality reduction methods for detection of root-knot nematode infestations in potato tubers using hyperspectral imagingJanez Lapajne, Matej Knapič, Uroš Žibrat, original scientific article Keywords: hyperspectral imaging, dimensionality reduction, LDA, PLS, PCA, RandomForest, ReliefF, XGB, Meloidogyne, Solanum tuberosum
Published in DiRROS: 06.09.2022; Views: 763; Downloads: 273
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3. Hyperspectral remote sensing of grapevine drought stressMonika Zovko, Uroš Žibrat, Matej Knapič, Marina Bubalo, Davor Romić, 2019, original scientific article Keywords: vineyard, soil, precision, irrigation, water stress, hyperspectral imagery
Published in DiRROS: 14.05.2020; Views: 2697; Downloads: 1553
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4. Discrimination between abiotic and biotic drought stress in tomatoes using hyperspectral imagingNik Susič, Uroš Žibrat, Saša Širca, Polona Strajnar, Jaka Razinger, Matej Knapič, Andrej Vončina, Gregor Urek, Barbara Gerič Stare, original scientific article Abstract: Crop plants are subjected to various biotic and abiotic stresses. Both root-knot nematodes (biotic stress) and water deficiency (abiotic stress) lead to similar drought symptoms in the plant canopy. In this work, hyperspectral imaging was used for early detection of nematode infestation and water deficiency (drought) stress in tomato plants. Hyperspectral data in the range from 400 to 2500 nm of plants subjected to different watering regimes and nematode infestation levels were analysed by partial least squares – discriminant analysis (PLS-DA) and partial least squares – support vector machine (PLS-SVM) classification. PLS-SVM classification achieved up to 100% accuracy differentiating between well-watered and water-deficient plants, and between 90 and 100% when identifying nematode-infested plants. Grouping the data according to the time of imaging increased the accuracy of classification. Shortwave infrared spectral regions associated with the OH and CH stretches were most relevant for the identification of nematode infested plants and severity of infestation. This study demonstrates the capability of hyperspectral imaging to identify and discriminate between biotic and abiotic plant stresses.
Keywords: nematode, Hyperspectral imaging, Drought stress, Root-knot nematode, Tomato
Published in DiRROS: 20.07.2018; Views: 4188; Downloads: 2626
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5. Svetovalni kodeks dobre kmetijske prakse :
varovanje voda, tal, zraka in ohranjanje biotske raznovrstnostiJože Verbič, Janez Sušin, Andrej Simončič, Zoran Čergan, Drago Babnik, Viktor Jejčič, Tomaž Poje, Matej Knapič, Janko Verbič, Peter Dolničar, Dušica Majer, Kristina Ugrinović, Robert Janža, Jože Maljevič, Matej Stopar, Andrej Zemljič, 2006, professional monograph Keywords: kmetijska praksa, dobra kmetijska praksa, varovanje voda, varovanje tal, varovanje zraka, biotska raznovrstnost
Published in DiRROS: 11.07.2017; Views: 5573; Downloads: 1633
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