Handbook of Geospatial Artificial Intelligence

16GeoAI for Agriculture

Chishan Zhang, Chunyuan Diao, and Tianci Guo

Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign

DOI: 10.1201/9781003308423-16

CONTENTS

• 16.1 Introduction

• 16.2 Conceptual Framework of Crop Yield Estimation

  1. 16.2.1 Preparation of Geospatial Modeling Inputs

  2. 16.2.2 GeoAI-based Yield Estimation Model

  3. 16.2.3 Feature Importance Analysis

  4. 16.2.4 Uncertainty Analysis

• 16.3 Case Study on Soybean Yield Estimation

  1. 16.3.1 Study Site

  2. 16.3.2 Data

  3. 16.3.3 Method

  4. 16.3.4 Results and Discussion

• 16.4 Conclusion

  1. Bibliography

16.1 INTRODUCTION

The rising demand for food caused by the planet's population boom, climate change, depletion of natural resources, changes in dietary preferences, ...