Search Results - "Slaughter, D.C."

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  1. 1

    Real-time segmentation of strawberry flesh and calyx from images of singulated strawberries during postharvest processing by Durand-Petiteville, A., Vougioukas, S., Slaughter, D.C.

    Published in Computers and electronics in agriculture (01-11-2017)
    “…•An image processing to extract the flesh and the calyx from an image is proposed.•It relies on image color segmentation in a two dimensional color…”
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    Journal Article
  2. 2

    Automatic GPS-based intra-row weed knife control system for transplanted row crops by Pérez-Ruiz, M, Slaughter, D.C, Gliever, C.J, Upadhyaya, S.K

    “…► Weed control remains a major challenge to agricultural. ► Automatic intra-row weed machine was developed. ► RTK-GPS transplanter plant map and real-time GPS…”
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    Journal Article
  3. 3

    Hyperspectral species mapping for automatic weed control in tomato under thermal environmental stress by Zhang, Y, Slaughter, D.C

    Published in Computers and electronics in agriculture (01-06-2011)
    “…► Thermal stress affects tomato canopy reflectance in 480–670 and 720–810nm. ► Temperature-dependent classification performances ranging from 62.5% to 91.6%. ►…”
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    Journal Article
  4. 4

    Influence of Cell Integrity on Textural Properties of Raw, High Pressure, and Thermally Processed Onions by Gonzalez, M.E, Jernstedt, J.A, Slaughter, D.C, Barrett, D.M

    Published in Journal of food science (01-09-2010)
    “…The integrity of onion cells and its impact on tissue texture after high pressure and thermal processing was studied. The contribution of cell membranes and…”
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    Journal Article
  5. 5

    RTK GPS mapping of transplanted row crops by Sun, H., Slaughter, D.C., Ruiz, M. Pérez, Gliever, C., Upadhyaya, S.K., Smith, R.F.

    Published in Computers and electronics in agriculture (01-04-2010)
    “…This study demonstrated the feasibility of using a real-time kinematic (RTK) global positioning system (GPS) to automatically map the location of transplanted…”
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    Journal Article
  6. 6

    Non-destructive freeze damage detection in oranges using machine vision and ultraviolet fluorescence by Slaughter, D.C., Obenland, D.M., Thompson, J.F., Arpaia, M.L., Margosan, D.A.

    Published in Postharvest biology and technology (01-06-2008)
    “…A non-contact, non-destructive, and rapid method of detecting freeze-damaged oranges based on ultraviolet (UV) fluorescence of the peel oil constituents…”
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    Journal Article
  7. 7

    Influence of solar irradiance on hyperspectral imaging-based plant recognition for autonomous weed control by Zhang, Y., Slaughter, D.C.

    Published in Biosystems engineering (2011)
    “…Canopy reflectance in the visible and near infrared region (384–810 nm) was examined to discriminate between plant species, grown under various sunlight…”
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    Journal Article
  8. 8

    Mid-infrared Spectroscopic Determination of Soil Nitrate Content by Jahn, B.R., Linker, R., Upadhyaya, S.K., Shaviv, A., Slaughter, D.C., Shmulevich, I.

    Published in Biosystems engineering (01-08-2006)
    “…Mid-infrared (mid-IR) spectroscopy experiments were conducted to detect added nitrate in various soil types both in the laboratory and field. Soil pastes from…”
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    Journal Article
  9. 9

    Nondestructive sensing of maturity and ripeness in mango by Kitthawee, U, Pathaveerat, S, Slaughter, D.C, Mitcham, E.J

    Published in Acta horticulturae (01-01-2012)
    “…Fruit appearance is often the impetus driving initial purchase by consumers, however customer satisfaction and subsequent repeat purchases are based upon the…”
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    Journal Article
  10. 10

    An electro-mechanical limb shaker for fruit thinning by Rosa, U.A., Cheetancheri, K.G., Gliever, C.J., Lee, S.H., Thompson, J., Slaughter, D.C.

    Published in Computers and electronics in agriculture (01-05-2008)
    “…Mechanizing the fruit thinning operation will result in considerable cost savings for growers. This investigation has been conducted to improve mechanical…”
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    Journal Article
  11. 11

    Nondestructive determination of soluble solids in tomatoes using near infrared spectroscopy by Slaughter, D.C. (Univ. of California, Davis, CA.), Barrett, D, Boersig, M

    Published in Journal of food science (01-07-1996)
    “…A nondestructive optical method for determining the soluble solids content of fresh whole tomatoes was investigated. The method, based upon near infrared…”
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    Journal Article
  12. 12

    Effect of radio frequency heating as a potential quarantine treatment on the quality of 'Bing' sweet cherry fruit and mortality of codling moth larvae by Monzon, M.E, Biasi, B, Simpson, T.L, Johnson, J, Feng, X, Slaughter, D.C, Mitcham, E.J

    Published in Postharvest biology and technology (01-05-2006)
    “…'Bing' sweet cherry (Prunnus avium L.) fruit quality and fifth-instar codling moth (Cydia pomonella [L.]) mortality were evaluated after radio frequency (RF)…”
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    Journal Article
  13. 13

    X-ray assessment of translucency in pineapple by Haff, R.P, Slaughter, D.C, Sarig, Y, Kader, A

    “…A nondestructive method for detection of translucency, a physiological disorder in pineapple, would be beneficial to the industry. Ninety-two pineapples were…”
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    Journal Article
  14. 14

    Computer vision system for automated cell pressure probe operation by Wong, E.S., Slaughter, D.C., Wada, H., Matthews, M.A., Shackel, K.A.

    Published in Biosystems engineering (01-06-2009)
    “…An automated cell pressure probe was designed to allow robust measurements of cellular water relations without the limitations caused by operator skill levels…”
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    Journal Article
  15. 15

    Autonomous robotic weed control systems: A review by Slaughter, D.C., Giles, D.K., Downey, D.

    Published in Computers and electronics in agriculture (01-04-2008)
    “…Autonomous robotic weed control systems hold promise toward the automation of one of agriculture's few remaining unmechanized and drudging tasks, hand weed…”
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    Journal Article Conference Proceeding
  16. 16

    Non-destructive prediction of soluble solids and dry matter content using NIR spectroscopy and its relationship with sensory quality in sweet cherries by Escribano, S., Biasi, W.V., Lerud, R., Slaughter, D.C., Mitcham, E.J.

    Published in Postharvest biology and technology (01-06-2017)
    “…•Near-infrared models were built to predict quality traits in sweet cherries.•Predictions were accurate and robust for soluble solids and dry matter…”
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    Journal Article
  17. 17

    Effect of the shear-to-compressive force ratio in puncture tests quantifying watermelon mechanical properties by Shiu, J.W., Slaughter, D.C., Boyden, L.E., Barrett, D.M.

    Published in Journal of food engineering (01-04-2015)
    “…•Effect of the shear-to-compressive force ratio in watermelon puncture tests assessed.•Increased shear hollow probe design more sensitive to differences in…”
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    Journal Article
  18. 18

    Nondestructive determination of flesh color in clingstone peaches by Slaughter, D.C., Crisosto, C.H., Tiwari, G.

    Published in Journal of food engineering (01-06-2013)
    “…► Skin color was uncorrelated to flesh color in peaches with skin hue angles below 70°. ► Mean flesh reflectance at 675nm (chlorophyll band) was related to…”
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    Journal Article
  19. 19

    Correlation of Descriptive Analysis and Instrumental Puncture Testing of Watermelon Cultivars by Shiu, J.W., Slaughter, D.C., Boyden, L.E., Barrett, D.M.

    Published in Journal of food science (01-06-2016)
    “…The textural properties of 5 seedless watermelon cultivars were assessed by descriptive analysis and the standard puncture test using a hollow probe with…”
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    Journal Article
  20. 20

    Microscopic Quantification of Cell Integrity in Raw and Processed Onion Parenchyma Cells by Gonzalez, M.E., Jernstedt, J.A., Slaughter, D.C., Barrett, D.M.

    Published in Journal of food science (01-09-2010)
    “…:  A cell viability assessment method based computer vision analysis of the uptake of neutral red dye was used to quantify cell membrane integrity in raw and…”
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    Journal Article