This book is intended for farmers, advisers, students and everyone else who, frequently or infrequently, find themselves hunting for data relating to farm management.
This Book intends to address all aspects needed to develop beekeeping into a powerful instrument of rural development and will focus on beekeeping as a tool for Poverty Alleviation and Livelihood security. In the backdrop of the social and economic issues of the people living in poverty region, the book aims to delineate specific motivation approaches to engage them in beekeeping and will serve as a guide for effective marketing through diversification and value addition of bee products. Nevertheless, marketing and environmental issues will remain an important component of this book. The aim is also to focus on indirect benefit of beekeeping so that it is integrated with farming and nature conservation. Other topics include ensuring the provision of practical techniques in handling and management of bees. It will provide detailed information on good contacts with policymakers and authorities; and channels for attracting finance especially in the third world countries. An interdisciplinary approach is the key feature of the book and it will also focus on few case histories and success stories to encourage the reader to take up beekeeping as a new venture gradually in a phased manner like traditional-transitional and modernised beekeeping. With the publication of this book, we hope to hand out a practical guide that will assist all those who are involved in beekeeping for development. We hope it will stimulate beekeeping as an integrated activity with farming and nature conservation and will serve in many households for poverty alleviation and livelihood security.
These three volumes (CCIS 442, 443, 444) constitute the proceedings of the 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2014, held in Montpellier, France, July 15-19, 2014. The 180 revised full papers presented together with five invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on uncertainty and imprecision on the web of data; decision support and uncertainty management in agri-environment; fuzzy implications; clustering; fuzzy measures and integrals; non-classical logics; data analysis; real-world applications; aggregation; probabilistic networks; recommendation systems and social networks; fuzzy systems; fuzzy logic in boolean framework; management of uncertainty in social networks; from different to same, from imitation to analogy; soft computing and sensory analysis; database systems; fuzzy set theory; measurement and sensory information; aggregation; formal methods for vagueness and uncertainty in a many-valued realm; graduality; preferences; uncertainty management in machine learning; philosophy and history of soft computing; soft computing and sensory analysis; similarity analysis; fuzzy logic, formal concept analysis and rough set; intelligent databases and information systems; theory of evidence; aggregation functions; big data - the role of fuzzy methods; imprecise probabilities: from foundations to applications; multinomial logistic regression on Markov chains for crop rotation modelling; intelligent measurement and control for nonlinear systems.