Regional Agronomy

a practical handbook

The aim of this book is to teach practical data science skills in Regional Agronomy. This is a newly developing discipline that builds on agronomy and related natural and social sciences, to better understand and help improve agricultural production across large geographic regions (“at scale”). The material coverd is divided into the following six parts.

Part I — Introduction

What is Regional Agronomy, and what is this book about?

Part II — Data

Data collection methods. In the field and at the computer.

Part III — Reproducibility

Using data in reproducible workflows.

Part IV — Modeling methods

A primer of predictive modeling methods, and on using these methods with spatial data

Part V — Building blocks

Creating intermediate data products that are fundamental building blocks for further analysis

Part VI — Case studies

Case studies that use regional agronomy methods to answer important questions