2022
DOI: 10.11114/bms.v8i2.5598
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Factors Influencing Precision Agriculture Tools or Technologies Adoption in Egypt

Abstract: Precision Agriculture Technologies (PATs) are advocated as inevitable agricultural practices to achieve the highest economic value and mitigate the environmental impact of the agriculture.Water scarcity and rapid population growth in Egypt endanger the economic nourishment. Since agriculture consume more than 80% of total water consumption in Egypt; it is important to adopt efficient practices without sacrificing high productivity and minimize environmental degradation. This thesis studies the factors influenc… Show more

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“…Digital agriculture appears promising in addressing the major challenges facing the agri-food sector in Egypt and across the Middle East and North Africa (MENA) countries ( Bahn et al., 2021 ). Available evidence indicates that the adoption of digital and precision agriculture technologies is still in its infancy and is typically driven by high-value agricultural production ( Elsafty and Atallah, 2022 ; Sayed et al., 2023 ). However, Egypt has made strides in the utilization of modern technologies for agricultural crop management employing big data in tandem with cloud support systems, IoT, UAVs, satellite imagery, AI, machine learning, and remote sensing ( Shokr, 2020 ; Abdelnabby and Khalil, 2023 ; Sayed et al., 2023 ).…”
Section: Overview Of the Status Of Field Phenotyping In Africamentioning
confidence: 99%
“…Digital agriculture appears promising in addressing the major challenges facing the agri-food sector in Egypt and across the Middle East and North Africa (MENA) countries ( Bahn et al., 2021 ). Available evidence indicates that the adoption of digital and precision agriculture technologies is still in its infancy and is typically driven by high-value agricultural production ( Elsafty and Atallah, 2022 ; Sayed et al., 2023 ). However, Egypt has made strides in the utilization of modern technologies for agricultural crop management employing big data in tandem with cloud support systems, IoT, UAVs, satellite imagery, AI, machine learning, and remote sensing ( Shokr, 2020 ; Abdelnabby and Khalil, 2023 ; Sayed et al., 2023 ).…”
Section: Overview Of the Status Of Field Phenotyping In Africamentioning
confidence: 99%