The pugometer: an evaluation of a new tool for assessing treading damage of pasture soils and comparisons with other methods

Soil Research ◽  
2018 ◽  
Vol 56 (6) ◽  
pp. 568
Author(s):  
J. A. Howes ◽  
J. A. Hanly ◽  
D. J. Horne ◽  
M. J. Hedley ◽  
M. Irwin

Treading damage inflicted by grazing animals degrades soil physical quality, increases sediment and nutrient loss to water, and reduces pasture yield. The extent or severity of treading damage can be assessed using several methods such as roller chain, depth of pug, and visual scoring. However, the ability of these methods to assess treading damage, and their relative merits, have not previously been compared. Four methods of measuring treading damage are compared in this study including the three methods mentioned and a new tool called the pugometer, which was developed to measure treading damage in a spatially explicit manner. These comparisons were conducted on three paddocks at Massey University’s Dairy 4 farm near Palmerston North, Manawatu, New Zealand which had sustained treading damage of varying levels during grazing in wet conditions. All four methods were able to identify varying degrees of treading damage competently with strong correlations between them (R2 = 0.72–0.87). Therefore, the selection of the most appropriate method to assess treading damage will depend on the circumstances. Visual scoring was the quickest and simplest method to use over a large area, and so could be employed easily by a farmer. The pugometer provides a quantitative measure of the spatial variability of treading damage and so would be a useful research tool. The depth of pug and roller chain methods are reliable but much more time consuming and therefore are only practicable as research tools for small plot studies. Following a treading event, the pugometer was able to monitor the recovery of surface roughness in a spatially explicit and rapid manner. Additional keywords: depth of pug, quantifying pugging, roller chain, visual assessment.

2021 ◽  
Author(s):  
V. Lui ◽  
W. C. Tan ◽  
J. C. Hogg ◽  
H. O. Coxson ◽  
M. Kirby

Objectives: • To determine if CT texture features, such as GLCM and FD, can differentiate patients with COPD from healthy volunteers, and are related to lung function • To determine if CT texture features are association with qualitative visual scoring • To determine if CT texture features are significantly associated with COPD outcomes, independent of qualitative scoring and standard quantitative CT emphysema measurements Hypothesis: • CT texture features can be developed to objectively aid in quantifying the severity of emphysema, and may provide information complementary to qualitative visual assessment


Abstract Observations of thermodynamic and kinematic parameters associated with derivatives of the thermodynamics and wind fields, namely advection, vorticity, divergence, and deformation, can be obtained by applying Green’s Theorem to a network of observing sites. The five nodes that comprise the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) profiling network, spaced 50 -80 km apart, are used to obtain measurements of these parameters over a finite region. To demonstrate the applicability of this technique at this location, it is first applied to gridded model output from the High Resolution Rapid Refresh (HRRR) numerical weather prediction model, using profiles from the locations of ARM network sites, so that values calculated from this method can be directly compared to finite difference calculations. Good agreement is found between both approaches as well as between the model and values calculated from the observations. Uncertainties for the observations are obtained via a Monte Carlo process in which the profiles are randomly perturbed in accordance with their known error characteristics. The existing size of the ARM network is well-suited to capturing these parameters, with strong correlations to model values and smaller uncertainties than a more closely-spaced network, yet it is small enough that it avoids the tendency for advection to go to zero over a large area.


Animals ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 792
Author(s):  
Naemi Von Jasmund ◽  
Anna Wellnitz ◽  
Manuel Stephan Krommweh ◽  
Wolfgang Büscher

Animal behavior is an important aspect in the assessment of animal welfare. Passive infrared detectors (PID), detecting thermal changes to measure activity, have already been used to record data on the behavior of groups of animals. Within this study, the suitability of these detectors for the collection of activity profiles for focused areas is further investigated. The aim was to record the activity of a group of eleven fattening pigs in a pen, as well as the activity in the five functional areas for resting, feeding, drinking, exploration, and elimination. In order to evaluate the data obtained, the behavior was video recorded for visual assessment. In addition, relevant indoor environment parameters were recorded (ammonia, air temperature, and relative humidity). For the measurement of activity by PID, strong correlations from up to r = 0.87 (p < 0.01) could be found compared to visual assessment. The results indicate that activity changes during the day and activity in defined functional areas can be recorded using PIDs. These data combined with data of climate-related sensors could serve the farmer as a monitoring tool for early detection of behavioral changes or serve as partial aspect within a Weak Point Analysis within external on-farm consulting.


2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Rasha M. Abdelraouf ◽  
Nour A. Habib

Objectives. To assess visually color-matching and blending-effect (BE) of a universal shade bulk-fill-resin-composite placed in resin-composite-models with different shades and cavity sizes and in natural teeth (extracted and patients’ teeth).Materials and Methods. Resin-composite-discs (10 mm × 1 mm) were prepared of universal shade composite and resin-composite of shades: A1, A2, A3, A3.5, and A4. Spectrophotometric-color-measurement was performed to calculate color-difference (ΔE) between the universal shade and shaded-resin-composites discs and determine their translucency-parameter (TP). Visual assessment was performed by seven normal-color-vision-observers to determine the color-matching between the universal shade and each shade, under Illuminant D65. Color-matching visual scoring (VS) values were expressed numerically (1–5): 1: mismatch/totally unacceptable, 2: Poor-Match/hardly acceptable, 3: Good-Match/acceptable, 4: Close-Match/small-difference, and 5: Exact-Match/no-color-difference. Occlusal cavities of different sizes were prepared in teeth-like resin-composite-models with shades A1, A2, A3, A3.5, and A4. The cavities were filled by the universal shade composite. The same scale was used to score color-matching between the fillings and composite-models. BE was calculated as difference in mean-visual-scores in models and that of discs. Extracted teeth with two different class I-cavity sizes as well as ten patients’ lower posterior molars with occlusal caries were prepared, filled by universal shade composite, and assessed similarly.Results. In models, the universal shade composite showed close matching in the different cavity sizes and surrounding shades (4≤VS<5) (BE = 0.6–2.9 in small cavities and 0.5–2.8 in large cavities). In extracted teeth, there was good-to-close color-matching (VS = 3.7–4.4 in small cavities, BE = 2.5–3.2) (VS = 3–3.5, BE = 1.8–2.3 in large cavities). In patients’ molars, the universal shade composite showed good-matching (VS = 3–3.3, BE = −0.9–2.1).Conclusions. Color-matching of universal shade resin-composite was satisfactory rather than perfect in patients’ teeth.


Sensors ◽  
2008 ◽  
Vol 8 (1) ◽  
pp. 529-560 ◽  
Author(s):  
Michael Wulder ◽  
Joanne White ◽  
Richard Fournier ◽  
Joan Luther ◽  
Steen Magnussen

2006 ◽  
Vol 20 (3) ◽  
pp. n/a-n/a ◽  
Author(s):  
Karen W. Holmes ◽  
Oliver A. Chadwick ◽  
Phaedon C. Kyriakidis ◽  
Eliomar P. Silva de Filho ◽  
João Vianei Soares ◽  
...  

Soil Research ◽  
2001 ◽  
Vol 39 (1) ◽  
pp. 117 ◽  
Author(s):  
D. C. McKenzie

Agricultural land evaluation is hampered by inadequate procedures for assessing the severity of soil compaction. Therefore, the ‘SOILpak scoring procedure’ has been developed within the Australian cotton industry to allow semi-quantitative assessment of soil structural form. It allows compaction severity in Vertisols to be separated into as many as 20 categories on a scale of 0.0 (severely compacted) to 2.0 (excellent structure for root growth). The procedure is based upon visual assessment of soil samples in the field as they are pulled apart by hand. The SOILpak scoring system is well accepted by advisory staff because of its speed and simplicity. However, there have been some problems with operator bias, and an inability to deal with continuity of vertical macropores, degree of encroachment of under-furrow compaction into the ridges where cotton is planted, and the presence of thin smeared layers. This paper presents a modified SOILpak scoring procedure that addresses these problems. Also, the SOILpak scoring procedure has been integrated with terminology in the ‘Australian Soil and Land Survey Field Handbooks’ so that it can be used by soil surveyors in other areas.


1992 ◽  
Vol 72 (2) ◽  
pp. 237-244 ◽  
Author(s):  
S. D. M. Jones ◽  
L. E. Jeremiah ◽  
A. K. W. Tong ◽  
W. M. Robertson ◽  
L. L. Gibson

Sixteen hundred and sixty lambs were used to determine the precision of carcass measurements (fat thickness, muscle thickness, tissue depth) and a visual scoring system for muscle and fat thickness to estimate carcass composition. Measurements of fat (F) and muscle (M) thickness were made in warm and cold carcasses and total tissue depth in warm carcasses only between the 10th and 11th ribs and the 12th and 13th ribs using an electronic probe (Hennessy Grading Probe HGP). F explained 40–64% of the variation in carcass lean and 44–72% of the variation in carcass fat depending on the location and number of measurements and whether they were made on a warm or cold carcass. In most cases when M was added to F there was no increase in the variation explained in composition over that provided by F alone. Total tissue depth measurements differed in precision for the prediction of carcass lean content with the 12th rib being superior to the 10th rib (RSD for 12th rib, 33.2 g kg−1; 10th rib, 36.6 g kg−1). Visual assessment of carcasses for fatness had the lowest precision for the prediction of lean content (RSD, 44.5 g kg−1). Loin eye area and fat thickness measured at the 12th rib had similar precision for the estimation of lean content as probe measurements. It was concluded that probe measurements of F or tissue depth between the 12th and 13th ribs would provide a superior method to the visual assessment of carcass fatness used in this study for classifying lamb carcasses for lean content and would allow carcasses to be graded on the slaughter floor. Key words: Lamb, carcass, grading, Hennessy Grading Probe, composition


2008 ◽  
Vol 11 (03) ◽  
pp. 371-392 ◽  
Author(s):  
ANIMESH MUKHERJEE ◽  
MONOJIT CHOUDHURY ◽  
ANUPAM BASU ◽  
NILOY GANGULY ◽  
SHAMIK ROY CHOWDHURY

In this work, we attempt to capture patterns of co-occurrence across vowel systems and at the same time figure out the nature of the force leading to the emergence of such patterns. For this purpose, we define a weighted network where the vowels are the nodes and an edge between two nodes (read vowels) signifies their co-occurrence likelihood over the vowel inventories. Through this network we identify communities of vowels, which essentially reflect their patterns of co-occurrence across languages. We observe that in the communities formed by the frequently occurring vowels, the constituent nodes are largely uncorrelated in terms of their features and show that they are formed based on the principle of maximal perceptual contrast. However, in the rest of the communities, strong correlations are reflected among the constituent vowels with respect to their features, indicating that it is the principle of feature economy that binds them together. We validate the above observations by proposing a quantitative measure of perceptual contrast as well as feature economy and subsequently comparing the results obtained due to these quantifications with those where we assume that the vowel inventories had evolved just by chance.


2019 ◽  
Author(s):  
Nikolas J. Kaplanis ◽  
Clinton B. Edwards ◽  
Yoan Eynaud ◽  
Jennifer E. Smith

AbstractRocky intertidal ecosystems may be particularly susceptible to sea-level rise impacts but few studies have explored community scale response to future sea-level scenarios. Combining remote-sensing with large-area imaging, we quantify habitat extent and describe biological community structure at two rocky intertidal study locations in California. We then estimate changes in habitat area and community composition under a range of sea-level rise scenarios using a model-based approach. Our results suggest that future sea-level rise will significantly reduce rocky intertidal area at our study locations, leading to an overall decrease in benthic habitat and a reduction in overall invertebrate abundances, but increased densities of certain taxa. These results suggest that sea-level rise may fundamentally alter the structure and function of rocky intertidal systems. As large scale environmental changes such as sea-level rise accelerate in the next century, more extensive spatially-explicit monitoring at ecologically relevant scales will be needed to visualize and quantify the impacts to biological systems.


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