Smart Agricultural Technology

Scope & Guideline

Pioneering Interdisciplinary Research in Smart Agriculture

Introduction

Delve into the academic richness of Smart Agricultural Technology with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN2772-3755
PublisherELSEVIER
Support Open AccessYes
CountryNetherlands
TypeJournal
Convergefrom 2021 to 2024
AbbreviationSMART AGR TECHNOL / Smart Agric. Technol.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal 'Smart Agricultural Technology' focuses on advancing agricultural practices through the integration of technology, notably in areas such as automation, data analytics, and smart farming methodologies. It aims to publish innovative research that enhances agricultural productivity, sustainability, and efficiency.
  1. Innovative Technological Applications:
    Research on the application of advanced technologies such as IoT, UAVs, and machine learning in agriculture to improve crop management, monitoring, and yield prediction.
  2. Precision Agriculture:
    Studies focusing on precision farming techniques that utilize data-driven approaches for optimizing field-level management regarding crop farming.
  3. Sustainable Practices:
    Research promoting sustainable agricultural practices through the integration of digital technologies that minimize environmental impact and enhance resource efficiency.
  4. Data Analytics in Agriculture:
    Exploration of data analytics methodologies, including machine learning and AI, to process agricultural data for better decision-making and predictive analytics.
  5. Automation and Robotics:
    Investigations into the development and implementation of robotic systems and automation technologies aimed at improving labor efficiency in agricultural operations.
  6. Climate Resilience:
    Research focusing on adapting agricultural practices to climate change, using technology to enhance resilience and sustainability in farming systems.
The journal has seen a rise in specific themes that reflect current trends and emerging technologies in agriculture. These areas indicate a growing interest in innovative approaches to modern farming.
  1. AI and Machine Learning Applications:
    A significant trend is the increasing application of AI and machine learning techniques for various agricultural tasks, including crop disease detection, yield prediction, and resource management.
  2. Integration of IoT in Agriculture:
    The use of IoT devices for real-time monitoring and data collection in agricultural settings is rapidly growing, facilitating precision farming and enhancing operational efficiency.
  3. Remote Sensing and UAV Technologies:
    There is a marked increase in research utilizing remote sensing technologies and UAVs for crop monitoring, yield assessment, and environmental impact studies.
  4. Smart Irrigation Systems:
    Emerging themes include the development of smart irrigation systems that leverage data analytics to optimize water usage and enhance crop growth under varying climatic conditions.
  5. Sustainable Agricultural Innovations:
    Research focusing on sustainable practices, including the use of renewable energy sources and eco-friendly technologies, is gaining traction as the agricultural sector seeks to reduce its environmental footprint.
  6. Digital Twins and Simulation Models:
    The adoption of digital twins and advanced simulation models to optimize agricultural processes and resource management is becoming an exciting new area of research.

Declining or Waning

As the field of agricultural technology evolves, certain themes within the journal have shown a decline in focus. These waning areas are reflective of shifting research priorities and advancements in technology.
  1. Traditional Farming Techniques:
    Research that emphasizes conventional farming methods is becoming less prominent as the focus shifts towards technology-driven solutions that enhance efficiency and sustainability.
  2. General Agricultural Theories:
    Studies based on broad agricultural theories without technology integration are declining, as there is a growing preference for empirical, data-driven research that demonstrates practical applications.
  3. Basic Crop Management Practices:
    Research focusing solely on basic crop management practices is waning, with a stronger emphasis now placed on integrating technology for precision and efficiency.
  4. Static Models of Agricultural Systems:
    There is a noticeable reduction in the publication of static models that do not incorporate real-time data or adaptive management strategies, as dynamic, responsive models gain traction.

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