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16 results for “regional properties”
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Research ArticleOpen accessIn the keywordsA Robust Recognition System for Pecan Weevil using Artificial Neural NetworksSaleh Mufleh Al-SaqerProblem statement: Pecan Weevil is a widely found pest among pecan trees and these pests are known to cause significant damage to the pecan trees resulting in enormous annual losses to pecan growers. Traditional identification techniques for pecan weevil include traps with pheromones to detect the infestation of these pests. However, these traditional methods require expensive labor hours to set-up … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 14 Jul 2012 · 6,831 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparison of Selected Soil Chemical Properties of Two Different Mangrove Forests in SarawakEmpi Rambok, Seca Gandaseca, Osumanu Haruna Ahmed, Nik Muhamad Ab. MajidProblem statement: Despite few studies of forest health and environmental conditions of mangrove forest in Sarawak, the data was not sufficient to facilitate baseline data and direct comparison of mangrove forest health obtained for different location of mangrove forest in Sarawak. On this regard, determination of contemporary mangrove soil condition was essential to addressing mangrove forest for forest health, carbon … …American Journal of Environmental Sciences, Vol. 6, Issue 5 · 31 Oct 2010 · 9,648 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Reliable Identification System for Red Palm WeevilSaleh Mufleh Al-SaqerProblem statement: Red Palm Weevil (RPW) is a widely found pest among palm trees and is known to cause significant losses every year to palm growers. Existing identification techniques for RPW comprise of using traps with pheromones to detect these pests. However, these traditional methods are labor-intensive, expensive to implement and unreliable for early detection of RPW infestation. Early detection … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 18 Jun 2012 · 7,018 accessesView PDFCite
Research ArticleOpen accessIn the abstractHydrophysical Properties of Soils as Indicators of the Hydrological Role of Rudny Altai ForestsAndrey Kalachev, Tamara Burenina, Stanislav Rogovsky et al.The hydrophysical properties of soils and parent rock are key factors shaping forest hydrological functioning, as they influence multiple runoff components. This study assessed the effects of forest stand composition on soil moisture and water permeability between 2021 and 2023 in the middle mountain-taiga zone of the Rudny Altai, within the Zhuravlikha River basin, a tributary of the Irtysh River. … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 24 Mar 2026 · 1,316 accessesView PDFCite
Research ArticleOpen accessIn the abstractSustainable Technology for Agriculture at Extreme Altitudes: Design and Evaluation of a Sprinkler Irrigation System in a Peruvian High Andean CommunityJuan Eduardo Suarez Rivadeneira, Freddy A. Manayay, Daniel Olivier Carranza Lizana et al.In high-altitude agroecosystems, erratic rainfall patterns and steep topography severely constrain crop productivity by exposing plants to soil water deficits during critical phenological stages. This study aimed to enhance the productivity of eleven staple and horticultural crops corn (Zea mays), tomato (Solanum lycopersicum), cucumber (Cucumis sativus), eggplant (Solanum melongena), lettuce (Lactuca sativa), carrot (Daucus carota), barley (Hordeum vulgare), celery (Apium … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 2 Oct 2026 · 645 accessesView PDFCite
Research ArticleOpen accessIn the abstractCurie Point Depth (CPD) Investigation Of Offshore Niger Delta Using High Resolution Aeromagnetic DataOfoha Chimezie Charles, Emujakporue Godwin OmokenuOffshore Niger Delta, Nigeria, is known to be a hub for hydrocarbon exploration within the West Africa region and the world in general. The geologic settings within the Niger Delta province have a proven potential to assist in oil and gas exploration. However, much of the offshore provinces potential remains unknown with respect to the temperature differences using aeromagnetic data. … …Current Research in Geoscience, Vol. 8, Issue 1 · 18 Jan 2019 · 7,811 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Resistance Evaluation of Dry Subtropics Brown Soils to Heavy Metal and Oil Contamination by Biological IndicatorsSergey Ilyich Kolesnikov, Natalya Aleksandrovna Petrova, Kamil Shagidullovich Kazeev et al.Contamination of brown calcareous soils with Cr, Cu, Ni, Pb and oil leads to deterioration of their biological properties. There is a reduction in activity of catalase and dehydrogenase, an abundance of Azotobacter genus bacteria, cellulolytic activity and the length of radish roots. As a rule, there is a direct relationship between the content of contaminant in the soil and … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 3 · 5 Aug 2016 · 7,883 accessesView PDFCite
Research ArticleOpen accessIn the abstractRETRIEVAL OF 24 HOUR AEROSOL OPTICAL DEPTHS FROM MIE LIDAR DATASiriluk Ruangrungrote, Pichet Limsuwan, Arunee IntasornTemporal Aerosol Optical Depths (AODs) of Phimai district, Nakhon Ratchasima province in Thailand were retrieved from measured Mie lidar data on 17-20 February 2005 using Fernald method. The ground-based station was selected for its high and diverse local agricultural activities contributed to the aerosol content which allows for various parameters such as concentration, size distribution and aerosol optical properties to … …Physics International, Vol. 4, Issue 2 · 4 Sep 2013 · 6,515 accessesView PDFCite
Research ArticleOpen accessIn the abstractSupport Vector Machine Based Red Palm Weevil (Rynchophorus Ferrugineous, Olivier) Recognition SystemGhulam Mubashar Hassan, Saleh Mufleh Al-SaqerProblem statement: Red palm weevil (Rynchophorus Ferrugineous, Oliveir) is an insect which threatens the existence of palm trees. The proposed research is to develop a RPW identification system using Support Vector Machine method. The problem is to extract image features from an image and using SVM to find out the existence of RPW in an image. Approach: Images are snapped … …American Journal of Agricultural and Biological Sciences, Vol. 7, Issue 1 · 24 Jan 2012 · 7,734 accessesView PDFCite
Research ArticleOpen accessIn the abstractPecan Weevil Recognition Using Support Vector Machine MethodGhulam Mubashar Hassan, Saleh Mufleh Al-SaqerProblem statement: The Pecan weevil was considered as the most dangerous pest of Pecan fruits. The aim of this research is to evaluate Support Vector Machine method (SVM) for identifying Pecan Weevil among other insects. Eventually, this recognition system will serve in a wireless imaging network for monitoring Pecan Weevils. Approach: SVM has been evaluated using two different kernel functions … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 4 · 24 Dec 2011 · 7,926 accessesView PDFCite