Computational Methods for Agricultural Research: Advances and
Applications brings computing solutions to ancient practices and
modern concerns, sowing the seeds for a sustainable, constant food
supply. This book treats subjects as old modeling flood patterns
and predicting potential climates to distinctly 21st century topics
such as pesticide leaching models and the impact of agricultural
policy. All of these studies utilize cutting-edge computational
techniques of interest to both academics and practitioners in
agriculture but also computational modeling researchers, creating a
reference practical significance.
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