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Land suitability modeling integrating geospatial data and artificial intelligence

Author

Listed:
  • Sperandio, Huezer Viganô
  • de Morais, Marcelino Santos
  • de Jesus França, Luciano Cavalcante
  • Mucida, Danielle Piuzana
  • Santana, Reynaldo Campos
  • da Silva, Ricardo Siqueira
  • Rodrigues, Cristiano Reis
  • de Faria, Bruno Lopes
  • de Azevedo, Maria Luiza
  • Gorgens, Eric Bastos

Abstract

Sustainable agricultural practices are critical in a world grappling with climate change and pressure on natural resources. Unplanned agricultural expansion often harms ecosystems and the services they provide. Balancing food production with environmental protection demands sophisticated tools like spatial analysis and artificial intelligence to inform land-use decisions.

Suggested Citation

  • Sperandio, Huezer Viganô & de Morais, Marcelino Santos & de Jesus França, Luciano Cavalcante & Mucida, Danielle Piuzana & Santana, Reynaldo Campos & da Silva, Ricardo Siqueira & Rodrigues, Cristiano R, 2025. "Land suitability modeling integrating geospatial data and artificial intelligence," Agricultural Systems, Elsevier, vol. 223(C).
    • Handle: RePEc:eee:agisys:v:223:y:2025:i:c:s0308521x24003470
    DOI: 10.1016/j.agsy.2024.104197
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    References listed on IDEAS

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