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This publication is based on the proceedings of the Workshop "Strengthening Potato Value Chains in developing countries" held in November 2008. The presentations summarized in this publication are mostly based on experiences made in CFC (Common Fund for Commodities) potato sector development projects. In line with the policy to disseminate the information generated by CFC financed projects as widely as possible, it is our expectation that this publication will be instrumental to make impressive results and experiences of CFC pilot projects in the potato sector available to a wider audience. This document will be most useful and relevant to extension workers, researchers, policy makers and others involved in the development of the potato sector.
Potato is a crop grown on all inhabited continents of the globe. It is included in the top five crops of the world, used as staple food in several countries, and the number of people daily consuming the potato may surpass one billion. Despite the high quantities of seed potato produced worldwide, there are yield gaps due to challenges such as abiotic stresses, pests, climate change and poor production practices. A region-wide critical analysis of yield declining factors can help formulate management strategies that can improve potato yields. Bridging yield gaps in potato will ultimately ensure the role of this crop in securing current and future food security. Potato Production Worldwide presents information on this global crop from its history, morphology, and taxonomy to the growth and development of the potato crop, including the latest strategies in addressing today's biotic and abiotic challenges. This book identifies the reasons for yield gaps in various potato production regions of the world, as well as presenting the best production practices, pest management strategies and approaches to deal with climate change from the perspective of potato production. Chapters provide important insights into potato production cultures and approaches in the major potato production countries. Potato Production Worldwide will be a valuable resource for researchers, scientists and students seeking a comprehensive view of successful potato production. - Provides comprehensive information on the origin, history, taxonomy, morphology, ecophysiology, growth and development of the potato - Addresses production practices, including irrigation, nutrient management, harvesting and post-harvest techniques - Explores the impact of Abiotic stresses (drought, chilling, salinity etc.) and their management
Potato (Solanum tuberosum L.) is grown in over 100 countries throughout the world. As a staple food, potato is the fourth most important crop after rice, wheat, and maize, and has historically contributed to food and nutrition security in the world. Global interest in potato increased recently as world food prices soared, threatening the global food security and stability. Unlike major cereals, potato is not a globally traded commodity, and prices are usually determined by local production costs. Thus, potato is increasingly regarded as a vital food-security crop and as a substitute for costly cereal imports. With such importance, the 29 chapters in the edited book address the issues of sustainable potato production. This book begins with an introduction on sustainable potato production and global food security, and then presents eight case studies selected globally and covering different issues relevant to sustainable potato production in both developed and developing countries.
Sustainable Intensification (SI) has recently emerged as a key concept for agricultural development, recognising that yields must increase to feed a growing world population, but it must be achieved without damage to the environment, on finite land resources and while preserving social and natural capital. It also recognises that all initiatives must cope with the challenges of climate change to agricultural production, food security and livelihoods. This multidisciplinary book presents state-of-the-art reviews of current SI approaches to promote major food crops, challenges and advances made in technology, and the institutional and policy measures necessary to overcome the constraints faced by smallholder farmers. Adressing the UN's Sustainable Development Goal 2, the various chapters based on evidence and experiences of reputed researchers show how these innovations, if properly nurtured and implemented, can make a difference to food and nutrition security outcomes. Case studies from around the world are included, with a particular emphasis on Asia and Sub-Saharan Africa. The focus is not only on scientific aspects such as climate-smart agriculture, agroecology and improving input use efficiency and management, but also on institutional and policy challenges that must be met to increase the net societal benefits of sustainable agricultural intensification. The book is aimed at advanced students and researchers in sustainable agriculture and policy, development practitioners, policy makers and non-governmental and farmer organisations.
This book contains accepted papers presented at SOCO 2022 conference held in the beautiful and historic city of Salamanca (Spain), in September 2022. Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a thorough peer-review process, the 17th SOCO 2022 International Program Committee selected 64 papers which are published in these conference proceedings and represent an acceptance rate of 60%. In this relevant edition, a particular emphasis was put on the organization of special sessions. Seven special sessions were organized related to relevant topics such as machine learning and computer vision in Industry 4.0; time series forecasting in industrial and environmental applications; optimization, modeling, and control by soft computing techniques; soft computing applied to renewable energy systems; preprocessing big data in machine learning; tackling real-world problems with artificial intelligence. The selection of papers was extremely rigorous to maintain the high quality of the conference. We want to thank the members of the program committees for their hard work during the reviewing process. This is a crucial process for creating a high-standard conference; the SOCO conference would not exist without their help.
Advances in Potato Chemistry and Technology, Second Edition, presents the latest knowledge on potato chemistry, including the identification, analysis, and uses of chemical components in potatoes. Beginning with a brief description of potato components, the book then delves into their role during processing, then presenting information on strategies for quality optimization that provides students, researchers, and technologists working in the area of food science with recent information and updates on state-of-the-art technologies. The updated edition includes the latest information related to the identification, analysis, and use of chemical components of potatoes, carbohydrate and non-carbohydrate composition, cell wall chemistry, an analysis of glycoalkaloids, phenolics and anthocyanins, thermal processing, and quality optimization. In addition, new and sophisticated methods of quality determination of potatoes and their products, innovative and healthy potato-based foods, the future of genetically modified potatoes, and the non-food use of potatoes and their products is discussed. - Includes both the emerging non-food uses of potato and potato-by-products as well as the expanding knowledge on the food-focused use of potatoes - Presents case studies on the problems, factors, proposed solutions, and pros and cons of each, allowing readers facing similar concerns and issues to effectively and efficiently identify an appropriate solution - Written by a global collection of experts in both food and non-food potato science
Using sustainable food value chain development (SFVCD) approaches to reduce poverty presents both great opportunities and daunting challenges. SFVCD requires a systems approach to identifying root problems, innovative thinking to find effective solutions and broad-based partnerships to implement programmes that have an impact at scale. In practice, however, a misunderstanding of its fundamental nature can easily result in value-chain projects having limited or non-sustainable impact. Furthermore, development practitioners around the world are learning valuable lessons from both failures and successes, but many of these are not well disseminated. This new set of handbooks aims to address these gaps by providing practical guidance on SFVCD to a target audience of policy-makers, project designers and field practitioners. This first handbook provides a solid conceptual foundation on which to build the subsequent handbooks. It (1) clearly defines the concept of a sustainable food value chain; (2) presents and discusses a development paradigm that integrates the multidimensional concepts of sustainability and value added; (3) presents, discusses and illustrates ten principles that underlie SFVCD; and (4) discusses the potential and limitations of using the value-chain concept in food-systems development. By doing so, the handbook makes a strong case for placing SFVCD at the heart of any strategy aimed at reducing poverty and hunger in the long run.
During the International Year of the Potato, celebrated in 2008, FAO and the International Potato Center helped forge partnerships worldwide to address critical aspects of sustainable potato production. This technical guide collates that experience to review technical, socio-economic, policy and institutional factors that currently constrain increased potato production and productivity in tropical and sub-tropical countries. it presents Good Agriculture Practices relevant to potato production, and indicators and recommendations for action in key areas. It outlines a new policy and research agenda for the potato subsector that aims at making a real contribution to the eradication of hunger and poverty.
As one of the world's most important crops, potatoes play an important role in maintaining the stability of the global food supply. Many countries, including China, believe that food supply security is a basic condition for maintaining national stability and development. Therefore, potatoes can not only solve the problem of international food shortage, but also promote the development of international trade. In recent years, with the continuous improvement of planting technology, the global production and trade volume of potatoes have also been continuously increasing. However, the development of traditional potato quality grading technology is relatively slow. Currently, it still relies on manual sorting in many countries and regions. Because workers can not keep their attention for a long time under huge work pressure and their understanding of grading standards is inconsistent, large amount of wrong potato grading often occurs. This result not only affects farmers' income, but also causes serious waste in the potato processing due to unqualified raw potatoes. In addition, with the continuous increase of manual wages, the cost of manual grading of potatoes has under challenge. Therefore, achieving automation of potato quality grading is imperative. Traditional grading system mainly uses cameras to capture potato color images, and achieves potato quality grading through color information analysis. This method can reach high success rate for certain defects detection, such as green skin, surface rot and mechanical damage. Due to the variety of shapes of potatoes growing underground, the appearance defects, such as bending, bump and hollow, are widely existing. These abnormal samples may fail to be detected and grade to wrong quality groups, the 3D appearance information cannot be fully perceived in 2D color images. In response to such issues, we have decided to build a machine vision system based on depth cameras, which can obtain depth images of potatoes with 3D shape information. Unlike each pixel in a color image that stores color information, each pixel in a depth image stores the distance from the target to the camera. Therefore, the potato 3D surface features can be sensed and used for bump and hollow defects detection. To capture high-quality depth images, we have constructed a specialized depth imaging system, and developed the image acquisition software based on OpenCV and OpenNI framework. Then, each potato surface features are analyzed and extracted for shape analysis, defect detection, and overall quality grading. In recent years, machine learning technology has developed rapidly and has been widely applied in fields such as object recognition and feature detection. Hence, we also apply machine learning technology to the field of potato quality grading. By developing a machine learning model based on convolutional neural networks, we can directly input potato depth images and get the corresponding quality level of the samples. The experiment achieved good grading results. Since color and depth images of potatoes are actually collected simultaneously in data collection step, a novel algorithm is developed for potato 3D model rebuilding. The method is based on Point Cloud Library and OpenGL technology, and it shows the advantage in solving the problem of data traceability, especially when users have objections to automatic quality classification results. This model not only displays 3D potato shape model, but also supports scaling and 360-degree rotation operations. Overall, we believe that with the development of machine learning and depth sensing, potato quality grading systems will become more intelligent, efficient and low-cost.