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Precision Agriculture: Strategies and Technology Adoption

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  • Gonçalo C. Rodrigues

    (LEAF—Linking Landscape, Environment, Agriculture and Food Research Center, Associated Laboratory TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal)

Abstract

The adoption of digital technologies in the agricultural sector has been the focus of research in the last few years, assessing the benefits of using electronic devices, robots, sensors, automation and IoT to improve farming sustainability [...]

Suggested Citation

  • Gonçalo C. Rodrigues, 2022. "Precision Agriculture: Strategies and Technology Adoption," Agriculture, MDPI, vol. 12(9), pages 1-4, September.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:9:p:1474-:d:915219
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    References listed on IDEAS

    as
    1. Guang Chen & Yue Deng & Apurbo Sarkar & Zhengbing Wang, 2022. "An Integrated Assessment of Different Types of Environment-Friendly Technological Progress and Their Spatial Spillover Effects in the Chinese Agriculture Sector," Agriculture, MDPI, vol. 12(7), pages 1-24, July.
    2. Piotr Mazur & Dariusz Gozdowski & Elżbieta Wójcik-Gront, 2022. "Soil Electrical Conductivity and Satellite-Derived Vegetation Indices for Evaluation of Phosphorus, Potassium and Magnesium Content, pH, and Delineation of Within-Field Management Zones," Agriculture, MDPI, vol. 12(6), pages 1-13, June.
    3. Ivana Rendulić Jelušić & Branka Šakić Bobić & Zoran Grgić & Saša Žiković & Mirela Osrečak & Ivana Puhelek & Marina Anić & Marko Karoglan, 2022. "Grape Quality Zoning and Selective Harvesting in Small Vineyards—To Adopt or Not to Adopt," Agriculture, MDPI, vol. 12(6), pages 1-22, June.
    4. Nicole McDonald & Eloise S. Fogarty & Amy Cosby & Peter McIlveen, 2022. "Technology Acceptance, Adoption and Workforce on Australian Cotton Farms," Agriculture, MDPI, vol. 12(8), pages 1-16, August.
    5. Oksana Hrynevych & Miguel Blanco Canto & Mercedes Jiménez García, 2022. "Tendencies of Precision Agriculture in Ukraine: Disruptive Smart Farming Tools as Cooperation Drivers," Agriculture, MDPI, vol. 12(5), pages 1-15, May.
    6. Hyun Jo & Sovetgul Asekova & Mohammad Amin Bayat & Liakat Ali & Jong Tae Song & Yu-Shin Ha & Dong-Hyuck Hong & Jeong-Dong Lee, 2022. "Comparison of Yield and Yield Components of Several Crops Grown under Agro-Photovoltaic System in Korea," Agriculture, MDPI, vol. 12(5), pages 1-13, April.
    7. Rok Rupnik & Damjan Vavpotič & Jurij Jaklič & Aleš Kuhar & Miroslav Plavšić & Boštjan Žvanut, 2021. "A Reference Standard Process Model for Agriculture to Facilitate Efficient Implementation and Adoption of Precision Agriculture," Agriculture, MDPI, vol. 11(12), pages 1-22, December.
    8. Adriano Adelcino Anselmi & José Paulo Molin & Helizani Couto Bazame & Lucas de Paula Corrêdo, 2021. "Definition of Optimal Maize Seeding Rates Based on the Potential Yield of Management Zones," Agriculture, MDPI, vol. 11(10), pages 1-16, September.
    9. Dashuai Wang & Sheng Xu & Zhuolin Li & Wujing Cao, 2022. "Analysis of the Influence of Parameters of a Spraying System Designed for UAV Application on the Spraying Quality Based on Box–Behnken Response Surface Method," Agriculture, MDPI, vol. 12(2), pages 1-14, January.
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