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Jurnal

Computers and Electronics in Agriculture

Scopus

ISSN 0168-1699 · Elsevier BV · 11 artikel di indeks

  1. Artikel Jurnal Teks lengkap

    Drones in agriculture: A review and bibliometric analysis

    Abderahman Rejeb; Alireza Abdollahi; Karim Rejeb dkk.

    Computers and Electronics in Agriculture · 2022 · Inggris · OpenAlex Scopus

    Drones, also called Unmanned Aerial Vehicles (UAV), have witnessed a remarkable development in recent decades. In agriculture, they have changed farming practices by offering farmers substantial cost savings, increased operational efficiency, and better profitability. Over the past decades, the…

  2. Artikel Jurnal Teks lengkap

    Introducing digital twins to agriculture

    Christos Pylianidis; Sjoukje Osinga; Ioannis N. Athanasiadis

    Computers and Electronics in Agriculture · 2021 · Inggris · OpenAlex Scopus

    Digital twins are being adopted by increasingly more industries, transforming them and bringing new opportunities. Digital twins provide previously unheard levels of control over physical entities and help to manage complex systems by integrating an array of technologies. Recently, agriculture has…

  3. Artikel Jurnal

    A survey of public datasets for computer vision tasks in precision agriculture

    Yuzhen Lu; Sierra N. Young

    Computers and Electronics in Agriculture · 2020 · Inggris · OpenAlex Scopus

    Computer vision technologies have attracted significant interest in precision agriculture in recent years. At the core of robotics and artificial intelligence, computer vision enables various tasks from planting to harvesting in the crop production cycle to be performed automatically and…

  4. Artikel Jurnal Teks lengkap

    New perspectives on plant disease characterization based on deep learning

    Sue Han Lee; Hervé Goëau; Pierre Bonnet dkk.

    Computers and Electronics in Agriculture · 2020 · Inggris · OpenAlex Scopus

    The control of plant diseases is a major challenge to ensure global food security and sustainable agriculture. Several recent studies have proposed to improve existing procedures for early detection of plant diseases through modern automatic image recognition systems based on deep learning. In this…

  5. Artikel Jurnal Teks lengkap

    Decision support systems for agriculture 4.0: Survey and challenges

    Zhaoyu Zhai; José-Fernán Martí­nez-Ortega; Victoria Beltrán dkk.

    Computers and Electronics in Agriculture · 2020 · Inggris · OpenAlex Scopus

    Undoubtedly, high demands for food from the world-wide growing population are impacting the environment and putting many pressures on agricultural productivity. Agriculture 4.0, as the fourth evolution in the farming technology, puts forward four essential requirements: increasing productivity…