Yazar "Inalpulat, Melis" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • [ X ]
    Öğe
    Evaluation of the relationship between bacterial population and associated gas generation in soaking float of sheep skin using a sensor array system
    (INCDTP: Division Leather Footwear Research Institute, 2014) Kizil, Ünal; Yapici, Ali Nail; Yapici, Binnur Meriçli; Bilgi, Sadi Turgut; Inalpulat, Melis
    In this study it was aimed to design a metal oxide gas sensor array to determine the bacterial load in soaking float of wet-salted domestic sheep skin for garment leather production. The results showed that an array of 4 metal oxide gas sensors employed with Artificial Neural Networks (ANNs) can predict the 2 bacterial population in soaking float of leather manufacturing. The relationship between predicted and observed bacterial populations yielded a R value of 0.95 in model testing. Design procedures, gas sensors and other materials and techniques were explained in this paper.
  • [ X ]
    Öğe
    YIELD ESTIMATE USING SPECTRAL INDICES IN EGGPLANT AND BELL PEPPER GROWN UNDER DEFICIT IRRIGATION
    (Parlar Scientific Publications (P S P), 2014) Demirel, Kürşad; Genç, Levent; Bahar, Erdem; Inalpulat, Melis; Smith, Scott; Kızıl, Ünal
    The objective of this research was to estimate eggplant (Solanurn melongena cv. Aydin Siyahi') and bell pepper (Capsicum annuum L. California Wonder) yield using spectral indices. The experiments were conducted in the growing season of 2011 in Canakkale, Turkey. The following eight spectral indices were used (1) Simple Ratio Index (SR), (2) Normalized Difference Vegetation Index (NDVI), (3) Green Normalized Difference Vegetation Index (GNDVI), (4) Water Band Index (WBI), (5) Photochemical Reflectance Index (PRI), (6) Wide Dynamic Range Vegetation Index (WDRVI), (7) Enhanced Vegetation Indices (EVI) and (8) Red Edge Normalized Difference Vegetation Index (RENDVI). In addition to these indices the six following spectral bands were also used; (1) R-645, (2) R-663, (3) R-970, (4) R-940, (5) R-970/940 and (6) R-940/970. Four irrigation levels, including 0% (SO, non-irrigated), 33% (S33), 66% (S66) and 100% (S100, control) of field capacity were applied throughout three growth stages (vegetative (V), flowering (F) and fruit growth (FG)). Regression models were obtained between spectral indices and yield of both plants. The correlation coefficients (r) were between 0.921 and 0.997 for eggplant and between 0.857 and 0.900 for bell pepper at different growth stages. The research results showed that spectral indices and bands have a good potential to estimate the yield of eggplant and pepper plants.