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GIS Fundamentals for Agriculture

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Agro-geoinformatics

Part of the book series: Springer Remote Sensing/Photogrammetry ((SPRINGERREMO))

Abstract

GIS has been proved to be an effective technology for various agricultural applications, ranging from recording data, predicting crop growth, to supporting pesticide control and food safety regulations. As a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data, GIS has been motivated to become one of the most dynamic computer application systems. Due to its powerful capability in collecting and updating real-time data, GIS has been identified as a significant bridge between data and agriculture communities. This chapter summarized the major GIS applications in Agriculture, including mapping and analytical techniques, spatial database for agricultural systems, modeling function, and decision support system. These applications have benefited various GIS user as well as agriculture communities. New technologies such as emerging Machine Leaning and Artificial Intelligence provide more opportunities in promoting GIS in more Agriculture applications and meanwhile generate more challenges in understanding global food production and security issues in the future.

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Authors and Affiliations

  1. Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA

    Junmei Tang

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  1. Junmei Tang
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Correspondence to Junmei Tang .

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  1. Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA

    Liping Di

  2. Faculty of Computer and Informatics Engineering, Istanbul Technical University, Istanbul, Turkey

    Berk Üstündağ

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Tang, J. (2021). GIS Fundamentals for Agriculture. In: Di, L., Üstündağ, B. (eds) Agro-geoinformatics. Springer Remote Sensing/Photogrammetry. Springer, Cham. https://doi.org/10.1007/978-3-030-66387-2_3

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