Green Technologies for Sustainable Agriculture - Kumar, Arvind; Dubey, Pushpalata
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India is an agriculture-based country and Indian agriculture has witnessed a covetable progress during the past days. However, the yield production is not as proportionate as the area of agricultural fields. Hence, it is challenge for our agricultural scientists and policy crisis. So, it is high time to explore and to develop recent strategies for green revolution as well as green technology for sustainable development. The present book opens new vista in designing the various green technology without causing extensive damage to the environment. This book is a unique compilation of most recent…mehr

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Produktbeschreibung
India is an agriculture-based country and Indian agriculture has witnessed a covetable progress during the past days. However, the yield production is not as proportionate as the area of agricultural fields. Hence, it is challenge for our agricultural scientists and policy crisis. So, it is high time to explore and to develop recent strategies for green revolution as well as green technology for sustainable development. The present book opens new vista in designing the various green technology without causing extensive damage to the environment. This book is a unique compilation of most recent research articles of eminent scientist of the concerned fields of agriculture, which will be helpful for students, research scholars, professors, scientists as well as for policy makers in achieving the goal of green revolution.
Autorenporträt
Arvind Kumar Arvind Kumar is a Research Staff Member and Manager at the IBM T.J. Watson Research Center in Yorktown Heights, NY. He has worked extensively on device design, characterization, and modeling for several IBM technologies. He has recently shifted his research interests to AI and heterogeneous integration. In addition to numerous invited talks and panel presentations, he has been involved with the IEEE Rebooting Computing initiative, serving as General Chair of ICRC 2017. He currently manages a team focused on next generation AI hardware. He holds a PhD in Electrical Engineering and Computer Science from MIT.