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Tareq N Hashem

Datos Biográficos

ID7989342
NOMBRETareq N Hashem
NOMBRESTareq N
APELLIDOHashem
FIRMAHASHEM T N
AFILIACIONESApplied Science Private University
ORCID0000-0001-9564-931X
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2023
AÑO MÁS RECIENTE DE PUBLICACIÓN2023
ÍNDICE H0
  • Smart Farming (Ai-Generated) as an Approach to Better Control Pest and Disease Detection in Agriculture

    Open Access•Tareq N Hashem, Jamal M M Joudeh et al.•ARTICLE•MIGRATION LETTERS•2023

    Purpose – The purpose of current study was to examine the role of smart farming through artificial intelligence (AI) (Data Integration; Machine Learning; Sensor Technologies; Image Processing and Computer Vision; Decision Support Systems and Scalability and Adaptability) in controlling pest and disease detection in agriculture. Methodology/ Design / Approach – Quantitative methodology was adopted and a questionnaire was self-administered online b…

Sin obras prominentes en esta página.

  • Smart Farming (Ai-Generated) as an Approach to Better Control Pest and Disease Detection in Agriculture

    Open Access•Tareq N Hashem, Jamal M M Joudeh et al.•ARTICLE•MIGRATION LETTERS•2023

    Purpose – The purpose of current study was to examine the role of smart farming through artificial intelligence (AI) (Data Integration; Machine Learning; Sensor Technologies; Image Processing and Computer Vision; Decision Support Systems and Scalability and Adaptability) in controlling pest and disease detection in agriculture. Methodology/ Design / Approach – Quantitative methodology was adopted and a questionnaire was self-administered online b…

Adaptability (1 obra) · Agricultural science (1 obra) · Agriculture (1 obra) · Artificial Intelligence (1 obra) · Biology (1 obra) · Business (1 obra) · Computer Science (1 obra) · Economics (1 obra) · Environmental economics (1 obra) · Geography (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae