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A GIS-based framework for local agricultural decision-making and regional crop yield simulation

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  • Li, Runwei
  • Wei, Chenyang
  • Afroz, Mahnaz Dil
  • Lyu, Jun
  • Chen, Gang

Abstract

In agricultural activities, the decision-making process is central to agricultural system management and subsequent crop yield. As a powerful tool in field-specific decision-making processes, crop simulation models have the potential to simulate crop yields on a large scale. However, their performance is often biased by the spatial heterogeneity of environment and management factors when applied over a large scale.

Suggested Citation

  • Li, Runwei & Wei, Chenyang & Afroz, Mahnaz Dil & Lyu, Jun & Chen, Gang, 2021. "A GIS-based framework for local agricultural decision-making and regional crop yield simulation," Agricultural Systems, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:agisys:v:193:y:2021:i:c:s0308521x21001669
    DOI: 10.1016/j.agsy.2021.103213
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    Cited by:

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    2. Pomi Shahbaz & Shamsheer ul Haq & Azhar Abbas & Zahira Batool & Bader Alhafi Alotaibi & Roshan K. Nayak, 2022. "Adoption of Climate Smart Agricultural Practices through Women Involvement in Decision Making Process: Exploring the Role of Empowerment and Innovativeness," Agriculture, MDPI, vol. 12(8), pages 1-16, August.
    3. Mwehe Mathenge & Ben G. J. S. Sonneveld & Jacqueline E. W. Broerse, 2022. "Application of GIS in Agriculture in Promoting Evidence-Informed Decision Making for Improving Agriculture Sustainability: A Systematic Review," Sustainability, MDPI, vol. 14(16), pages 1-15, August.
    4. Yu, Qihua & Wang, Feng & Zou, Minzhong & Ji, Shasha & Li, Mingfa & Kang, Shaozhong, 2024. "Quantifying the spatial water salinity threshold of saline water irrigation by applying distributed WAVES model," Agricultural Systems, Elsevier, vol. 214(C).

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