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Unprecedented growth in rice production in Bangladesh over the last four decades has outpaced the capacity of post-harvest operations, resulting in substantial grain losses. While production technology has changed dramatically over time, there has been relatively little private investment in transforming storage capacity in the country. This paper explores the lack of widespread private investment in improved grain storage and examines the potential for public support to stimulate greater private sector investment in modern storage. We calculate the returns to investment in bulk grain silos and hermetic cocoons that could upgrade warehouse storage, and calculate the grain loss that conversio...
Micronutrients, often referred to as vitamins and minerals are vital to healthy development, disease prevention, and wellbeing. Although only required in small amounts, micronutrients are not produced in the body and must be derived from the diet. Commonly cited micronutrients include Iron, Vitamins A, B, D, Iodine, and Zinc. Malnutrition in micronutrients tends to trap populations in a vicious cycle of poverty, causing adults to be less productive and preventing children from reaching their full potential, and exacerbating household poverty in general. Addressing the problem of micronutrient malnutrition, therefore, provides substantial benefits to the cause of development (Ara et al. 2019). The fortification of staple food items including rice to deliver vital micronutrients offers a unique opportunity to target the vulnerable populace – mostly women, young children and female adolescents – at a low cost, and importantly, without forcing a change in dietary habits.2 Although considerable investments are currently being made to improve micronutrient nutrition outcomes around the world, such efforts generally take time to provide results.
Unprecedented growth in rice production in Bangladesh over the last four decades has outpaced the capacity of post-harvest operations, resulting in substantial grain losses. While production technology has changed dramatically over time, there has been relatively little private investment in transforming storage capacity in the country. This paper explores the lack of widespread private investment in improved grain storage and examines the potential for public support to stimulate greater private sector investment in modern storage. We calculate the returns to investment in bulk grain silos and hermetic cocoons that could upgrade warehouse storage, and calculate the grain loss that conversion to those technologies would prevent. We then assess the public support that would be required to trigger private investment in modern storage systems.
The State of Economic Inclusion Report 2021 sheds light on one of the most intractable challenges faced by development policy makers and practitioners: transforming the economic lives of the world’s poorest and most vulnerable people. Economic inclusion programs are a bundle of coordinated, multidimensional interventions that support individuals, households, and communities so they can raise their incomes and build their assets. Programs targeting the extreme poor and vulnerable groups are now under way in 75 countries. This report presents data and evidence from 219 of these programs, which are reaching over 90 million beneficiaries. Governments now lead the scale-up of economic inclusion...
The ambitious 15-year agenda known as the Sustainable Development Goals, adopted in 2015 by all members of the United Nations, contains a pledge that “no one will be left behind.” This book aims to translate that bold global commitment into an action-oriented mindset, focused on supporting specific people in specific places who are facing specific problems. In this volume, experts from Japan, the United States, Canada, and other countries address a range of challenges faced by people across the globe, including women and girls, smallholder farmers, migrants, and those living in extreme poverty. These are many of the people whose lives are at the heart of the aspirations embedded in the 1...
The COVID-19 pandemic resulted in severe income losses, but little is known about its impacts on diets and nutritional adequacy, or the effectiveness of social protection interventions in mitigating dietary and nutritional impacts. We first assess the likely impacts of COVID-19 shocks in Bangladesh and Myanmar on poverty and food and nutrient consumption gaps. We then analyze the estimated mitigating effects of five hypothetical social protection interventions of a typical monetary value: (1) cash transfers; (2) in-kind transfers of common rice; (3) in-kind transfers of fortified rice enriched with multiple essential micronutrients; (4) vouchers for a diversified basket of rice and non-staple foods; and (5) food vouchers with fortified rice instead of common rice. The simulation results suggest modest effectiveness of the cash transfers for mitigating poverty increases and little effectiveness of all five transfers for preventing increasing food and nutrient consumption gaps among the poorest 40%. Rice fortification is, however, effective at closing key micronutrient consumption gaps and could be a suitable policy instrument for averting ‘hidden hunger’ during economic crises.
The book presents a chronological study of the Bengali political parties and organisations in Britain (1831 - 2009). Faruque Ahmed enters the heart of the community to unearth its extraordinary heroism and inherent dilemmas. He concludes that the future of the Bengali community is not in Bangladesh or in the subcontinent; it is in Britain.
Object detection is a basic visual identification problem in computer vision that has been explored extensively over the years. Visual object detection seeks to discover objects of specific target classes in a given image with pinpoint accuracy and apply a class label to each object instance. Object recognition strategies based on deep learning have been intensively investigated in recent years as a result of the remarkable success of deep learning-based image categorization. In this book, we go through in detail detector architectures, feature learning, proposal generation, sampling strategies, and other issues that affect detection performance. The book describes every newly proposed novel...
This book provides state-of-the-art coverage of deep learning applications in image analysis. The book demonstrates various deep learning algorithms that can offer practical solutions for various image-related problems; also how these algorithms are used by scientists and scholars in industry and academia. This includes autoencoder and deep convolutional generative adversarial network in improving classification performance of Bangla handwritten characters, dealing with deep learning-based approaches using feature selection methods for automatic diagnosis of covid-19 disease from x-ray images, imbalance image data sets of classification, image captioning using deep transfer learning, develop...