Skip to content
VuFind
    • English
    • Español
Advanced
  • Responsible artificial intelli...
  • Cite this
  • Text this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Permanent link
Exportación Completada — 
Cover Image
QR Code

Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities

Bibliographic Details
Main Authors: Tzachor, Asaf, Devare, Medha, King, Brian, Avin, Shahar, Ó hÉigeartaigh, Sean
Format: Journal Article
Language:Inglés
Published: Springer 2022
Subjects:
agriculture
artificial intelligence
risk factors
machine learning
data
risk reduction
participatory research
agricultura
inteligencia artificial
factores de riesgo
aprendizaje electrónico
Online Access:https://hdl.handle.net/10568/118363
  • Description
  • Similar Items
  • Staff View
Description
Description not available.

Similar Items

  • Artificial intelligence for agricultural supply chain risk management: Constraints and potentials
    by: Tzachor, Asaf
    Published: (2020)
  • Artificial intelligence for agricultural supply chain risk management: Preliminary prioritizations and constraints for the deployment of AI in food chains assessed by CGIAR scientists
    by: Tzachor, Asaf
    Published: (2020)
  • Potenciando la investigación agrícola con modelos de inteligencia artificial
    by: Ruiz-Hurtado, Andres Felipe
    Published: (2024)
  • Artificial intelligence, systemic risks, and sustainability
    by: Galaz, Victor, et al.
    Published: (2021)
  • Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin
    by: Gómez Selvaraj, Michael, et al.
    Published: (2020)

© Copyright 2026, Todos los Derechos Reservados UNA