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Guava (Psidium guajava L.) is an exquisite, nutritionally and
economically valuable crop of tropical and subtropical regions of
the world. It outshines other tropical fruits in productivity,
hardiness, adaptability, nutritional value, and ensures higher
economic returns to growers. Guava is commercially grown in over 70
countries, and is gaining in popularity as a 'super fruit' due to
its nutritional and health benefits. Notable recent developments
include the potential to improve crop yields and quality. New
research has also contributed to better understanding of the crop
environment, plant growth and physiology of tree and fruit
development, with implications for both breeding and cultivation.
Guava is one of the few tree fruits where round-the-year harvest is
possible by crop regulation. Interspecific hybridization with wild
Psidium species has yielded hybrids which are resistant to wilt (a
major guava disease in many countries) and are graft compatible.
This book: * is the only publication available in English covering
sustainable guava cultivation; * presents the current state of
knowledge on the origin, history, physiology, culture and trade of
guava throughout the world; and * addresses the major production
and post-harvest problems. With contributions from international
experts, this is a valuable resource for researchers and students
in horticulture, and guava-industry support personnel.
This book is the fifth official archival publication devoted to RoboCup. It documents the achievements presented at the 5th Robot World Cup Soccer Games and Conferences held in Seattle, Washington, USA, in August 2001.The book contains the following parts: introduction, champion teams, challenge award finalists, technical papers, poster presentations, and team descriptions (arranged according to various leagues).This book is mandatory reading for the rapidly growing RoboCup community as well as a valuable source of references and inspiration for R&D professionals interested in multi-agent systems, distributed artificial intelligence, and intelligent robotics.
Robot learning is a broad and interdisciplinary area. This holds
with regard to the basic interests and the scienti c background of
the researchers involved, as well as with regard to the techniques
and approaches used. The interests that motivate the researchers in
this eld range from fundamental research issues, such as how to
constructively understand intelligence, to purely application o-
ented work, such as the exploitation of learning techniques for
industrial robotics. Given this broad scope of interests, it is not
surprising that, although AI and robotics are usually the core of
the robot learning eld, disciplines like cog- tive science,
mathematics, social sciences, neuroscience, biology, and electrical
engineering have also begun to play a role in it. In this way, its
interdisciplinary character is more than a mere fashion, and leads
to a productive exchange of ideas. One of the aims of EWLR-6 was to
foster this exchange of ideas and to f- ther boost contacts between
the di erent scienti c areas involved in learning robots. EWLR is,
traditionally, a \European Workshop on Learning Robots."
Nevertheless, the organizers of EWLR-6 decided to open up the
workshop to non-European research as well, and included in the
program committee we- known non-European researchers. This strategy
proved to be successful since there was a strong participation in
the workshop from researchers outside - rope, especially from
Japan, which provided new ideas and lead to new contacts.
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