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    28 research outputs found

    Disability and poverty in Sri Lanka: a household level analysis

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    Abstract: Sri Lanka has recorded a significant reduction in poverty in recent times. Yet, as in many other developing countries, little or nothing is known about poverty levels and reduction of poverty among the disabled or their households. The disabled and their families encounter different hardships than the typical deprivations of the poor. The recent literature questions the ability of the monetary approach in measuring poverty in general and especially among different groups like the disabled. Therefore, this study estimates both monetary and multidimensional poverty among the households with disabled persons, using the Household Income and Expenditure Survey data of 2006/07 and 2009/10. The study found that monetary and multidimensional poverty among households with disabled persons is higher than among other households. Even though multidimensional poverty is relatively low in Sri Lanka, the difference in multidimensional poverty levels between households with and without the disabled is high. Importantly, contributions from the three dimensions considered in this research to the incidence of poverty is almost equal, suggesting that further reduction of poverty in Sri Lanka requires improvements in all three dimensions - health, education and living standards- among poor households, with and without disabled persons

    AI-Based Traffic Management System

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    A smart traffic solution using computer vision and machine learning

    AI-Based Traffic Management System

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    noThis paper aims to identify the factors hindering farmers in Kappetiyawa North domain of Weeraketiya Divisional Secretariat from achieving significant yield from their crops. A survey of local farmers, using both primary and secondary data was conducted to uncover these issues. The SWOT analysis highlighted the internal strengths and weaknesses of the domain, as well as the external opportunities and threats it faces. The study reveals that strengths such as access to high-quality seeds and a supportive local farming community positively impact crop yields. However, weaknesses like limited access to essential inputs and inadequate infrastructure hinder productivity. Growth opportunities lie in adopting advanced technologies and exploring new market strategies, while threats from environmental factors and economic constraints pose significant challenges. It is essential to address these issues through enhanced resource management, infrastructure development, and targeted support programs to improve agricultural productivity and achieve more reliable crop yields.n

    Machine Learning

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    A smart traffic solution using computer vision and machine learning

    EXPLORING THE FACTORS PREVENTING FARMERS FROM OBTAINING SUBSTANTIAL YIELD FROM AGRICULTURAL CROPS: CASE STUDY AT THE DIVISIONAL SECRETARIAT WEERAKETIYA

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    noThis paper aims to identify the factors hindering farmers in Kappetiyawa North domain of Weeraketiya Divisional Secretariat from achieving significant yield from their crops. A survey of local farmers, using both primary and secondary data was conducted to uncover these issues. The SWOT analysis highlighted the internal strengths and weaknesses of the domain, as well as the external opportunities and threats it faces. The study reveals that strengths such as access to high-quality seeds and a supportive local farming community positively impact crop yields. However, weaknesses like limited access to essential inputs and inadequate infrastructure hinder productivity. Growth opportunities lie in adopting advanced technologies and exploring new market strategies, while threats from environmental factors and economic constraints pose significant challenges. It is essential to address these issues through enhanced resource management, infrastructure development, and targeted support programs to improve agricultural productivity and achieve more reliable crop yields.n

    Poultry meat quality

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    Poultry meat quality is primarily defined by appearance (skin/meat color), texture (tenderess), flavor, and juiciness, which together determine consumer satisfaction and purchase intent. Key indicators include pH, water-holding capacity, and freedom from defects like bruises, with texture being the most critical sensory propert

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    AI-Based Traffic Management System

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    A smart traffic solution using computer vision and machine learning

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