International Journal of Agricultural and Environmental Information Systems

Scope & Guideline

Empowering Research at the Intersection of Agriculture and Environment

Introduction

Explore the comprehensive scope of International Journal of Agricultural and Environmental Information Systems through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore International Journal of Agricultural and Environmental Information Systems in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1947-3192
PublisherIGI GLOBAL
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2010 to 2024
AbbreviationINT J AGRIC ENVIRON / Int. J. Agric. Environ. Inf. Syst.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address701 E CHOCOLATE AVE, STE 200, HERSHEY, PA 17033-1240

Aims and Scopes

The International Journal of Agricultural and Environmental Information Systems is dedicated to advancing the use of information systems and technologies in agricultural and environmental research. The journal emphasizes interdisciplinary approaches to enhance agricultural productivity, sustainability, and ecological balance.
  1. Agricultural Information Systems:
    Focuses on the development and application of information technologies to improve agricultural practices, including data management, decision support systems, and innovative methodologies for data-driven agriculture.
  2. Environmental Sustainability:
    Examines the intersection of agriculture and environmental science, promoting research that addresses ecological impacts, resource management, and sustainable practices in agricultural systems.
  3. Emerging Technologies in Agriculture:
    Explores the integration of cutting-edge technologies such as IoT, machine learning, and big data analytics into agricultural practices, aiming to enhance efficiency and productivity while minimizing environmental footprints.
  4. Agroecological Research:
    Investigates ecological principles in agriculture, including studies on agroecosystems, biodiversity, and the impacts of agricultural practices on rural environments.
  5. Data-Driven Decision Making:
    Promotes research that employs data analytics and model-based approaches to support decision-making processes in agriculture, aiming to optimize resource use and improve crop yields.
The journal reflects current trends in agricultural and environmental research, with several emerging themes gaining traction in recent years. These trends indicate a shift towards more innovative and technology-driven approaches to agriculture and environmental management.
  1. Big Data in Agriculture:
    The use of big data technologies to enhance rural economic revitalization and agricultural decision-making is a growing theme, highlighting the importance of data-driven approaches in modern agriculture.
  2. IoT and Smart Agriculture:
    The integration of Internet of Things (IoT) technologies into agricultural practices is increasingly prominent, focusing on smart farming solutions that improve efficiency, monitoring, and resource management.
  3. Machine Learning Applications:
    There is a rising trend in the application of machine learning for various agricultural purposes, including disease prediction and crop management, which demonstrates the journal's commitment to innovative analytical techniques.
  4. Sustainability and Agroecology:
    Research emphasizing sustainability and agroecological transitions is emerging, as scholars seek to address the environmental impacts of agricultural practices and explore sustainable alternatives.
  5. Climate-Smart Agriculture:
    The development of frameworks and ontologies for climate-smart agriculture signifies an increasing focus on adapting agricultural practices to changing climatic conditions, ensuring food security in a sustainable manner.

Declining or Waning

As the journal evolves, certain themes have shown signs of declining prominence. This may reflect shifts in research priorities or advancements in technology that render previous methodologies less relevant.
  1. Traditional Agricultural Practices:
    Research on conventional farming techniques appears to be waning, possibly due to the increasing focus on modernization and the adoption of advanced technologies in agriculture.
  2. Static Environmental Assessments:
    Studies that provide static assessments of environmental impacts without the integration of dynamic data analytics are becoming less common, as the emphasis shifts toward real-time monitoring and adaptive management.
  3. Basic Agricultural Mechanization Studies:
    While mechanization remains important, papers focusing solely on basic mechanization methods without integrating smart technologies or data-driven approaches are becoming less frequent.
  4. General Agricultural Economics:
    Research that broadly addresses agricultural economics without a specific focus on data analytics or technological integration is declining, as there is a growing preference for studies that leverage big data for economic predictions.
  5. Non-Data-Driven Approaches to Crop Management:
    There is a noticeable decline in research that does not utilize data-driven methodologies for crop management, as the field increasingly values precision agriculture techniques.

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