About this book series
The ultimate goal of agricultural research and
technology development is to help farmers produce sufficient foods, feeds,
fibers, or biofuels while at the same time, minimize the environmental impacts
caused by these large scale activities.
Automation offers a potential means by which improved productivity,
resource optimization, and worker health and safety, can be accomplished. Although research on agricultural automation
can be found in the published literature, there lacks a curated source of
reference that is devoted to the unique characteristics of the agricultural
system. This book series aims to fill the gap by bringing together scientists,
engineers, and others working in these areas, and from around the world, to
share their success stories and challenges. Individual book volume will have a
focused theme and will be guest-edited by researchers/scientists renowned for
their work within the respective sub-discipline.
- Electronic ISSN
- 2731-3506
- Print ISSN
- 2731-3492
- Series Editor
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- Qin Zhang
Book titles in this series
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Smart Big Data in Digital Agriculture Applications
Acquisition, Advanced Analytics, and Plant Physiology-informed Artificial Intelligence
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