scholarly journals Producción de leche real vs la calculada a partir de la ENL estimada por el algoritmo de análisis de imágenes red-green-blue de gramíneas

2021 ◽  
Vol 51 (2) ◽  
Author(s):  
Oscar Fernando Ospina Rivera ◽  
Héctor José Anzola Vásquez ◽  
Olber Arturo Ayala Duarte ◽  
Andrea Baracaldo Martínez ◽  
Juan Sebastian Arévalo Cantor ◽  
...  
Keyword(s):  
Milk Production ◽  
Tropical Region ◽  
Analysis Method ◽  
Holcus Lanatus ◽  
Sampling System ◽  
Grazing Cattle ◽  
Abstract Knowledge ◽  
Rgb Images ◽  
Reducing Costs ◽  
Made In

ABSTRACT: Knowledge about the net lactation energy (NLE) contained in the dry matter of grasses is necessary to make decisions about forage and the balance of diets for grazing cattle. Its determination is made in laboratories using wet or dry chemistry methods, which are costly, delayed, and sometimes present sampling- or process-related reliability problems. An algorithm, which analyzes the red-green-blue (RGB) images of grasses taken by drone, has been developed as a technological alternative. This has allowed us estimating the NLE level, reducing costs, and changing the sampling system and analysis method. The objective of the present study was to compare the milk production, which was calculated from the NLE and estimated using the algorithm for analysis of RGB images of grasses (included in the TaurusWebs® software), vs the actual milk production. The study was conducted in 15 dairy farms belonging to the dairy control system of the Colácteos dairy cooperative, which are located in the upper tropical region (Department of Nariño, Colombia). The prairies evaluated were composed of mixtures of Kikuyo (Pennisetum clandestinum), Raigrás (Lolium spp), and False Poa (Holcus lanatus). The result was analyzed using a linear regression model (R²=0.86; R=0.93). In the Student´s t-test, the actual and estimated milk production averages were equal (P>0.05). In conclusion, the NLE calculated using the algorithm satisfactorily explains the study livestock production, and the information generated by the algorithm can be used to calculate the NLE of grasses.

Sosyal medyada Suriye’li sığınmacılara yönelik algı: bir sözlük değerlendirmesi

2017 ◽  
Vol 4 (2) ◽  
pp. 185-200 ◽  
Author(s):  
Servet Kardeş ◽  
Çağla Banko ◽  
Berrin Akman
Keyword(s):  
Qualitative Research ◽  
Social Media ◽  
Content Analysis ◽  
Syrian Refugees ◽  
Analysis Method ◽  
Social Media Platform ◽  
Content Analysis Method ◽  
Negative News ◽  
Media Platform ◽  
Made In

Bu araştırmada sığınmacılara yönelik paylaşımların yapıldığı sosyal medyada yer alan sözlüklerden birinde sığınmacılara yönelik algıya bakılmıştır. Yöntem olarak nitel desende olan bu çalışmada, bir sosyal medya sitesinde yer alan paylaşımlar içerik analizi yoluyla derinlemesine incelenip yorumlanmıştır. Araştırmanın sonucunda sosyal medya kullanıcılarının sığınmacıları büyük bir güvensizlik ortamı ve huzursuzluk yaratan bireyler olarak gördükleri saptanmış, sığınmacılarla yaşanan deneyimlerin ve medyadaki haberlerin bu düşüncelerin oluşmasında etkisinin olduğu belirlenmiştir. Bunun yanında sosyal medya kullanıcılarının devletin sığınmacılar konusunda yanlış politika izlediğini düşündükleri ve sığınmacılar için etkili bir planlama yapılmadığını ifade ettikleri görülmüştür. Çalışmanın sonuçları doğrultusunda medyada sığınmacılar hakkında çıkan haberlerde olumsuz ve şiddet temalı haberlerin azaltılması, Suriyeli sığınmacıların durumu, sahip oldukları haklar ve topluma yansımaları hakkında doğru ve bilgilendirici kamu spotları hazırlanması ayrıca sığınmacıların topluma entegre olma sürecinin her basamağında daha planlı ve etkili bir yol izlenmesi önerilebilir.ABSTRACT IN ENGLISHPerceptions about Syrian refugees on social media: an evaluation of a social media platformIn this research, posts which are about Syrian refugees were published in a social media platform, called as “sözlük” were investigated. The research is a qualitative research. The posts in this platform are analyzed with content analysis method. According to results of analyses, social media users see Syrian refugees as people who create an insecure and a restless environment. The experiences people had with them and news have an effect on this view. In addition, social media users think that government made inappropriate policies and ineffective plans about Syrian refugees. It is suggested negative news about Syrian refugees should be decreased and government should make safer policies. In addition, adaptation of refugees to society should be made in more planned and effective way.

scholarly journals Implementasi Sistem Bagi Hasil Mudharabah pada Koperasi Serba Usaha Amanah Desa Bunobogu Kecamatan Bunobogu Kabupaten Buol

Al-Buhuts ◽  
2017 ◽  
Vol 13 (2) ◽  
pp. 109-126
Author(s):  
Abdul Latif
Keyword(s):  
Small And Medium Enterprises ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Revenue Sharing ◽  
Profit Sharing ◽  
Primary Data ◽  
Analysis Method ◽  
Qualitative Descriptive ◽  
Medium Enterprises ◽  
Made In

This study aims to determine the system for the results of Mudharabah on Business Multipurpose Cooperative (KSU) Amanah Desa Bunobogu with Qualitative Descriptive Analysis method. This study uses primary data sources and secondary data relating to the annual revenue sharing system Mudharabah (2010-2014). The results of this study indicate that the profit sharing system is implemented by the Multipurpose Business Cooperative (KSU) Amanah Desa Bunobogu in the form of Mudharabah financing. With a guarantee statement on the process akadnya. In the event of negligence made by members who resulted in his business losing the goods made in the guarantee will be seized by the cooperative. Businesses that are established by members are mostly small and medium enterprises so often encountered bookkeeping that is not clear and just make a budget booklet at random. However, it does not become alaasan and hamper the growth of cooperatives which each year has increased the remaining results of operations. Unclear budget bookkeeping can result in member earnings manipulation, by lowering the profits earned and the effect on the revenue share installments

scholarly journals 110 Managing Feed Efficiency to Improve Dairy Farm Margin

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 20-20
Author(s):  
Micheal J Brouk
Keyword(s):  
Milk Production ◽  
Production Cost ◽  
Dairy Farm ◽  
Animal Reproduction ◽  
High Feed ◽  
Efficiency Factors ◽  
Feed Costs ◽  
The Cost ◽  
The Impact ◽  
Made In

Abstract Dairy farm margin has continued to be a challenge for the dairy industry. Several years of challenging milk prices with limited relief from high feed costs and increasing production cost have continued to erode the net margin of US dairy farms. As dairy producers continue to operate in a challenging economic environment, discoveries are being made in various farm efficiencies to improve farm margin. Increased management intensity on all aspects of the dairy farm is resulting in the discover of and improvement of many individual efficiency factors. Key areas of economic efficiency include feed, animal reproduction, replacement animals, labor and resource allocation. Often the answer to improved efficiency involves more than just reduced production cost, but also in the improvement of production to reduce the cost per unit of milk produced. Identifying and focusing on the important factors that can improve overall farm efficiency will enable producers to weather the economic challenges. For dairy producers, one of the complications is the biology of the dairy cow and understanding how to utilize the biology correctly for improved efficiency of milk production. Improved efficiency of milk production requires attention to details in many areas of the dairy. Identifying the correct areas of deficiencies, establishing corrective plans of action and then careful evaluation of the impact of changes are all key to the overall success of improving dairy farm margins and efficiencies.

scholarly journals TINGKAT KEPUASAN KONSUMEN TERHADAP PEMBELIAN MAKANAN PRODUK AYAM BAKAR ABMJ MELALUI E-COMMERCE GOJEK DI KOTA BANDAR LAMPUNG

2021 ◽  
Vol 9 (3) ◽  
pp. 500
Author(s):  
Destia Rahmasanti ◽  
Yaktiworo Indriani ◽  
Wuryaningsih Dwi Sayekti
Keyword(s):  
Decision Making ◽  
Information Search ◽  
Descriptive Analysis ◽  
Single Women ◽  
Analysis Method ◽  
Alternative Evaluation ◽  
Satisfaction Index ◽  
Decision Satisfaction ◽  
Post Purchase ◽  
Made In

This research aims to determine the consumers’ characteristics, the stages of decision making, and consumers satisfaction on buying ABMJ grilled chicken through Gojek e-commerce in Bandar Lampung.  The location was determined purposively, in which samples were 65 people.  The data were analyzed using descriptive analysis method, Customer Satisfaction Index (CSI), and Importance Performance Analysis (IPA).  The research showed that the consumers who bought ABMJ through Gofood were mainly single women around 19-24 years old, had bachelor degree, and had monthly income around IDR2,600,000.00-IDR3,500,000.00.  The consumer's decision making process was conducted through the introduction of needs, information search, alternative evaluation, purchase decision, and post-purchase evaluation.  Ease of purchase encouraged consumers to make transaction through Gofood and consumed ABMJ grilled chicken for their meals.  Consumers acquired the resources and information by their friends who had consumed ABMJ grilled chicken.  Price and advertisement in Gofood feature was highly considered by consumers.  The consumers made purchases depending on the circumstances, so there was no planning before and more than three purchases made in the last three months. Consumers were satisfied and would still buy even if the price of the ABMJ grilled chicken increases.  The value of CSI was 79.22 percent; it showed that the customers had been completely satisfied.  Based on the IPA analysis, customers valued that information clarity, photographic clarity, delivery time, and the safety of maintaining confidentiality of consumer’s identity should be improved.Key words: CSI, IPA, purchasing decision, satisfaction

scholarly journals Action recognition based on 2D skeletons extracted from RGB videos

2019 ◽  
Vol 277 ◽  
pp. 02034
Author(s):  
Sophie Aubry ◽  
Sohaib Laraba ◽  
Joëlle Tilmanne ◽  
Thierry Dutoit
Keyword(s):  
Neural Networks ◽  
Image Classification ◽  
Action Recognition ◽  
State Of The Art ◽  
Video Stream ◽  
Motion Data ◽  
Rgb Images ◽  
Human Pose ◽  
2D Images ◽  
Made In

In this paper a methodology to recognize actions based on RGB videos is proposed which takes advantages of the recent breakthrough made in deep learning. Following the development of Convolutional Neural Networks (CNNs), research was conducted on the transformation of skeletal motion data into 2D images. In this work, a solution is proposed requiring only the use of RGB videos instead of RGB-D videos. This work is based on multiple works studying the conversion of RGB-D data into 2D images. From a video stream (RGB images), a two-dimension skeleton of 18 joints for each detected body is extracted with a DNN-based human pose estimator called OpenPose. The skeleton data are encoded into Red, Green and Blue channels of images. Different ways of encoding motion data into images were studied. We successfully use state-of-the-art deep neural networks designed for image classification to recognize actions. Based on a study of the related works, we chose to use image classification models: SqueezeNet, AlexNet, DenseNet, ResNet, Inception, VGG and retrained them to perform action recognition. For all the test the NTU RGB+D database is used. The highest accuracy is obtained with ResNet: 83.317% cross-subject and 88.780% cross-view which outperforms most of state-of-the-art results.

The influence of winter nutrition, grazing system and stocking rate on the performance of spring-calving Hereford × Friesian cows and their calves 1. Winter nutrition

1982 ◽  
Vol 34 (2) ◽  
pp. 213-224 ◽  
Author(s):  
R. D. Baker ◽  
Y. L. P. Le Du ◽  
J. M. Barker
Keyword(s):  
Milk Production ◽  
Reproductive Performance ◽  
Metabolizable Energy ◽  
Average Weight ◽  
Stocking Rate ◽  
Calf Growth ◽  
Grazing System ◽  
Significant Depression ◽  
Made In ◽  
Friesian Cows

ABSTRACTIn three experiments the effects of giving Hereford × Friesian cows 61 to 64 MJ/day of metabolizable energy in the last 8 weeks of pregnancy, followed by either 49 to 56 (L) or 85 to 100 (H) MJ/day for the first 8 weeks of lactation, were determined. A further comparison was made in experiment 3, in which energy intakes were restricted to 46 and 64 MJ/day (M) in the two periods respectively. The L and M groups had a similar average weight loss of approximately 55 kg over winter whereas the H groups maintained their weight. The L and M treatments had a negligible effect on milk production at 3 weeks post calving but they caused a significant depression at 6 weeks in experiments 2 and 3. Milk energy and protein concentrations were reduced in all three experiments. Calf growth was similar on both treatments in experiment 1 but was 9 to 13% lower in experiments 2 and 3 for the L and M groups compared with the H group. Reproductive performance was not significantly affected. There was a substantial increase in milk production for all groups on turnout to grazing. This was greater for the L and M groups so that their summer milk production was almost equal to that of the H group. Cows from L and M groups gained more weight at pasture. By the end of the trials cows and calves from all treatments had similar weights except in experiment 3, when cows from the L and M treatments were still lighter than those from the H treatment.

Evaluation on Restoration of Ecological City of Ha’erbin

2010 ◽  
Vol 113-116 ◽  
pp. 938-942
Author(s):  
Mu Hua Cui
Keyword(s):  
Quantitative Analysis ◽  
Qualitative Analysis ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Index System ◽  
Analysis Method ◽  
Components Analysis ◽  
Made In

This article is designed to carry out design of index system for evaluation of ecological city which is applicable to features of city of Ha’erbin on basis of actual conditions of Ha’erbin in principle of combination of qualitative analysis and quantitative analysis and to conduct evaluation on effect of restoration of ecological city of Ha’erbin with principal components analysis method. Results of evaluation show that some accomplishment has been made in terms of construction of ecological city of Ha’erbin and sub-system of environment, economy and society of Ha’erbin has been greatly improved since 2002.

scholarly journals KORELASI KADAR LEMAK DAN LAKTOSA DENGAN BERAT JENIS SUSU SAPI FRIESIAN HOLSTEIN DI KECAMATAN NGABLAK KABUPATEN MAGELANG

2020 ◽  
Vol 8 (2) ◽  
pp. 88-91
Author(s):  
Danes Suhendra ◽  
Widitya Tri Nugraha ◽  
Yosephine L. R. E. Nugraheni ◽  
Lilis Hartati
Keyword(s):  
Milk Production ◽  
Linear Correlation ◽  
Milk Fat ◽  
Fat Content ◽  
Analysis Method ◽  
Dairy Farmer ◽  
Positive Correlations

Milk density and fat content are used as indicators of milk production from dairy farmer by Milk Proccessing Industry (MPI). Some MPI determines the price of milk based on fat  and milk lactose content. This research was aimed to study the correlation of fat content, lactose content, and milk density. The material used were 90 of lactation FH cows in the II – III lactation periode and month of lactation are 2 – 3. The analysis method used was simple linear correlation regresion. The results showed that during increased milk fat and lactose contents, will increased milk density. Fat and lactose content are significantly correlated with milk density (P<0.01). The overall calculation shows that there was a relationship between fat content and lactose content to milk density, each 70.8 and 68.7%. Fat content with milk density, and lactose content with milk density showed a strong positive correlations. In conclusion, there was a correlation between fat content and lactose content with milk density. The correlation of fat content and lactose content with milk density were the higher fat and lactose content, higher milk density.

scholarly journals Narrative as a Radial Category

2020 ◽  
Vol 55 (s1) ◽  
pp. 185-205
Author(s):  
Janusz Badio
Keyword(s):  
Cognitive Linguistics ◽  
Family Resemblance ◽  
The Internet ◽  
Chain Model ◽  
Language Discourse ◽  
Abstract Knowledge ◽  
Conversational Narrative ◽  
Internet Images ◽  
General Section ◽  
Made In

Abstract Narrative is a complex and elusive category of cognition, culture, communication and language. An attempt has been made in this article with a large enough theoretical scope to consider the possibility of treating narrative as a radial category. To this end, the definition and characterisation of radiality is provided together with explanation of what it might mean to apply this term to the complex language-discourse unit of narrative. The prototype of this category involves features, functions, and ICMs. It has multiple representations with only family resemblance, involves more obvious exemplars and variable abstract knowledge structures. In particular, section one looks at the radiality question and what it might mean to think of the meaning of narrative in general. Section two focuses on centrality. Sections three to five deal with schematic representations of narrative and provide examples of extending the most subsuming schema of the Action Chain Model from cognitive linguistics and Labov’s Narrative Schema to various other types of conversational narrative, children’s dramatic plays, tactical narratives, story rounds, jokes, poems, current news articles on the Internet, images, and advertisements.

The use of bovine somatotropin (bst) to increase summer milk production

1990 ◽  
Vol 1990 ◽  
pp. 44-44
Author(s):  
D J Roberts ◽  
R J Wells ◽  
D N Logue ◽  
A G Buchanan
Keyword(s):  
Sustained Release ◽  
Dairy Cows ◽  
Milk Production ◽  
Research Work ◽  
Bovine Somatotropin ◽  
Late Winter ◽  
Release Formulation ◽  
Sustained Release Formulation ◽  
Grazing Cattle ◽  
Feeding Systems

Farmers are receiving a price incentive to produce more milk during the summer months. Bovine somatotropin (BST) could be used as a means of increasing milk yield from late winter/spring calving cows during the summer months. However, most of the research work with BST has been with housed cattle on winter feeding systems. The objective of this experiment was to evaluate the use of BST with grazing cattle supplemented with silage as a buffer feed.Thirty-six January to March calving multiparous Friesian dairy cows were allocated to 4 treatments: CG - Control/Grazing, TG - Treated/Grazing, CB - Control/Buffer fed, TB - Treated/Buffer fed. The treated cattle were given 640 mg of recombinantly derived bovine somatotropin (Somidobove Elanco Products Limited) in a sustained release formulation at 28 day intervals. The treatment period at grass lasted for 8 weeks from 18 August 1988. The cattle were then housed for a further 8 weeks in 2 groups of sixteen cows (with one block of cows omitted from the experiment).

Sign in / Sign up

Export Citation Format

Share Document