Transpiration and visual appearance of warm season turfgrasses during soil drying

Florida has 915,000 beef cows and 125,000 replacement heifers (USDA, 2016). Developing these heifers so that they can become productive females in the cow herd is a tremendous investment in a cow/calf operation, an investment that takes several years to make a return. The good news is that there are options to develop heifers on forage-based programs with the possibility of reducing costs while simultaneously meeting performance targets required by the beef industry. Mild winters in Florida allows utilization of cool-season forages that can significantly enhance the performance of grazing heifers. During the warm-season, integration of forage legumes into grazing systems will provide additional nutrients to meet the performance required to develop a replacement heifer to become pregnant and enter the mature cow herd. In this document, we will propose a model for replacement heifer development, based on forage research performed in trials at the NFREC Marianna.

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Translucent Glass Roofs For Large-Span Coverings

Promyshlennoe i Grazhdanskoe Stroitel stvo ◽

10.33622/0869-7019.2019.06.23-28 ◽

2019 ◽

pp. 23-28

Keyword(s):

Warm Season ◽

Natural Light ◽

Labor Costs ◽

Main Bearing ◽

Large Span ◽

Glass Panels ◽

Technical Properties ◽

Internal Volume ◽

Basic Approaches ◽

Smoke Removal

The article deals with the issues of glass use in the enclosing structures of large-span coverings, which have such advantages as ensuring the penetration of natural light, tightness, minimum labor costs for repair and maintenance. Design shortcomings: the high cost, the need for protection of the internal volume against the penetrating sun rays in the warm season (hothouse effect); arrangement of devices for operation of a roof. The key technical properties and characteristics of glass panels and pane-glass sets, constructive decisions, including interface to the main bearing structures of a large-span covering are given. Peculiarities of their design with due regard for ventilation and smoke removal, a drainage of condensate, ways of fight against frosting and snow drifts on the roof are reflected. Features of the account of loadings, the basic approaches to their calculation are considered. Various design solutions for the spatial metal trussed systems with the original nodal connections are presented. Information on modern solutions of translucent roofs using glass for large-span coverings is given.

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Evaluation of cool-season and warm-season intercrops for aphid biological control in organic pecan orchards

10.1603/ice.2016.114624 ◽

2016 ◽

Author(s):

Tzu-Chin Liu

Keyword(s):

Biological Control ◽

Warm Season ◽

Cool Season

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Analysis of color Image Enhancement Using DWT, Wavelet Shrinkageand FHE Methods

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i8.21 ◽

2017 ◽

Vol 7 (8) ◽

pp. 56

Author(s):

Ashish Dwivedi ◽

Nirupma Tiwari

Keyword(s):

Image Enhancement ◽

Color Image ◽

Human Perception ◽

Histogram Equalization ◽

Wavelet Shrinkage ◽

Visual Appearance ◽

Enhancement Method ◽

Fuzzy Histogram ◽

Rgb Image

Image enhancement (IE) is very important in the field where visual appearance of an image is the main. Image enhancement is the process of improving the image in such a way that the resulting or output image is more suitable than the original image for specific task. With the help of image enhancement process the quality of image can be improved to get good quality images so that they can be clear for human perception or for the further analysis done by machines.Image enhancement method enhances the quality, visual appearance, improves clarity of images, removes blurring and noise, increases contrast and reveals details. The aim of this paper is to study and determine limitations of the existing IE techniques. This paper will provide an overview of different IE techniques commonly used. We Applied DWT on original RGB image then we applied FHE (Fuzzy Histogram Equalization) after DWT we have done the wavelet shrinkage on Three bands (LH, HL, HH). After that we fuse the shrinkage image and FHE image together and we get the enhance image.

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