Trade Opportunity of Potential Agricultural Commodities between Turkey and Indonesia (Case Study Palm Oil)

This research was conducted in Indonesia and Turkey. The aims of this study is to analyse the Strengths, Weaknesses, Opportunities, and Threats (SWOT) of trade relations in, the industry attractiveness, trade potential, strategic orientation of the palm oil commodities traded between Turkey and Indonesia, and to analyse the industry competitive forces. This research use primary and secondary data, both of quantitative and qualitative ones. The primary data obtained from deep interview by purposive sampling, Focus Group Discussion (FGD) method by online and offline communication, and from experts acquisition. The secondary data obtained from UN Comrade, FAOSTAT, IMF, World Bank, Ministry of Commerce, Ministry of Agriculture and other relevant agencies. Descriptive data were analysed using the SWOT Matrix method, the SOR (Strategic Orientation) Matrix method, Strategic Position and Action Evaluation (SPACE), and the Porter’s Five Competitive Forces Matrix. Based on the diagram by the internal-external factor matrix, it is known that the condition of between Turkey and Indonesia were same condition on the Divest

Identification of the income level needed for agricultural enterprises to achieve economic sustainability

This study aims to identify the income level required for agricultural enterprises to achieve economic sustainability. The theory behind the equation used to calculate a sustainable income is explained. The ecological, technical, social and economic components of sustainability in agricultural enterprises have been identified and discussed and the importance of economic sustainability in terms of achieving total sustainability has been emphasised. Economic sustainability was divided into three components incorporating the income needed to meet the cost of living and to address depreciation and interest costs for the enterprise. Those enterprises that achieved this income level were determined to be economically sustainable. For this purpose, data was collected by using a face-to-face survey method with 181 agricultural enterprises operating in Konya and analysed in line with the purpose of the study. According to the results of our analysis, it was observed that more than 150 enterprises were not sustainable

Chop and change: Anaphora resolution in instructional cooking videos

International audienceLinguistic ambiguities arising from changes in entities in action flows are a key challenge in instructional cooking videos. In particular, temporally evolving entities present rich and to date understudied challenges for anaphora resolution. For example "oil" mixed with "salt" is later referred to as a "mixture". In this paper we propose novel annotation guidelines to annotate recipes for the anaphora resolution task, reflecting change in entities. Moreover, we present experimental results for end-to-end multimodal anaphora resolution with the new annotation scheme and propose the use of temporal features for performance improvement

THE ROLE OF WOMEN FOR SUSTAINABLE AGRICULTURE IN TURKEY

This study is providing key information on the agricultural situation in Turkey and the role of women for sustainable agriculture. Also it is mainly attempts to provide an objective analysis of capacity development and strengthening women role in agricultural organization in Turkey. The study has been prepared mainly based on statistical information from Eurostat, OECD and State Institute of Statistics (SIS) in Turkey, as available in October 2007

MULTIDIMENSIONS OF POVERTY FOR AGRICULTURAL COMMUNITY IN TURKEY: KONYA PROVINCE CASE

WOS: 000434067300029Poverty is a multi-dimensional global phenomenon. It encompasses health, housing, education, and social exclusion as well as simple incomes and expenditures. Multidimensional poverty is currently at the heart of many theoretical, empirical and institutional debates. The study was carried out in a rural settlement of Konya province in Turkey to determine the rural population's poverty structure and to quantify different general characteristics of both the poor and non-poor population according to the poverty line (relative poverty based household income-monetary approach) and asset based wealth index approach The results showed that, there was strong similarity between the income based approach and asset based wealth index approach for most factors. The source of income for the people in the study area was from non-agricultural sector and the material deprivation is also an important factor for wealth. It was found that non-agricultural income was higher in the wealth group (75-100%) than the other groups under study. The poor and low income households have high number of animals These kinds of enterprises were mostly located in the high altitude areas which were not appropriate for crop production. It can be concluded in the light of investigated results that poverty is more prevalent in harsh geographical locations.Ministry of Food, Agriculture and Livestock as R&D Project in Turkey [TAGEM/09/AR-GE/12]The data of the study was compiled from the Project "Poverty Analysis in Agricultural Holding in Rural Area of Konya and Modeling the Appropriate Strategies" supported by the Ministry of Food, Agriculture and Livestock as R&D Project (TAGEM/09/AR-GE/12) in Turkey

Synthesis of Compositional Animations from Textual Descriptions

"How can we animate 3D-characters from a movie script or move robots by simply telling them what we would like them to do?" "How unstructured and complex can we make a sentence and still generate plausible movements from it?" These are questions that need to be answered in the long-run, as the field is still in its infancy. Inspired by these problems, we present a new technique for generating compositional actions, which handles complex input sentences. Our output is a 3D pose sequence depicting the actions in the input sentence. We propose a hierarchical two-stream sequential model to explore a finer joint-level mapping between natural language sentences and 3D pose sequences corresponding to the given motion. We learn two manifold representations of the motion -- one each for the upper body and the lower body movements. Our model can generate plausible pose sequences for short sentences describing single actions as well as long compositional sentences describing multiple sequential and superimposed actions. We evaluate our proposed model on the publicly available KIT Motion-Language Dataset containing 3D pose data with human-annotated sentences. Experimental results show that our model advances the state-of-the-art on text-based motion synthesis in objective evaluations by a margin of 50%. Qualitative evaluations based on a user study indicate that our synthesized motions are perceived to be the closest to the ground-truth motion captures for both short and compositional sentences.Comment: 13 pages, 6 figures, 3 tables. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 1396-140