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Agriculture
Special Issues
Smart Farming: Addressing the Impact of Climate Change
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Smart Farming: Addressing the Impact of Climate Change

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".

Deadline for manuscript submissions: 25 February 2025 | Viewed by 1713

Special Issue Editor

Prof. Dr. Hyeon Tae Kim

E-Mail Website1 Website2
Guest Editor
Department of Bio-Systems Engineering, Institute of Smart Farm, Gyeongsang National University, Jinju 52828, Republic of Korea
Interests: agricultural environmental engineering; smart farming; machine learning; deep learning; animal welfare; pattern analysis; plant science; food testing; food security; sustainable production and energy use; big data
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The continuous growth of the world population has led to an escalating demand for food resources. However, agricultural land is decreasing due to the high population growth. Additionally, industrialization is speeding up climate change, causing a daily rise in sea levels and negatively impacting agricultural production. Furthermore, the agricultural sector is the second-largest contributor to greenhouse gas emissions, a major player in climate change. It is crucial for us to understand how smart technologies in agriculture can help to mitigate climate change impacts and ensure sustainable production that meets consumer needs.

This Special Issue focuses on smart farming: addressing the impact of climate change. We are looking for all kinds of articles—original research, articles, reviews, etc.—covering smart technologies in agriculture, sustainable energy use, forest management, greenhouse gas reduction in agriculture, and engineering innovations.

Prof. Dr. Hyeon Tae Kim
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • smart farming
  • artificial intelligence
  • animal welfare
  • climate change
  • agricultural mechanization
  • food security
  • sustainable energy use
  • big data

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Published Papers (1 paper)

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Review

22 pages, 6635 KiB  
Review
From Reality to Virtuality: Revolutionizing Livestock Farming Through Digital Twins
by Elanchezhian Arulmozhi, Nibas Chandra Deb, Niraj Tamrakar, Dae Yeong Kang, Myeong Yong Kang, Junghoo Kook, Jayanta Kumar Basak and Hyeon Tae Kim
Agriculture 2024, 14(12), 2231; https://doi.org/10.3390/agriculture14122231 - 6 Dec 2024
Viewed by 1074
Abstract
The impacts of climate change on agricultural production are becoming more severe, leading to increased food insecurity. Adopting more progressive methodologies, like smart farming instead of conventional methods, is essential for enhancing production. Consequently, livestock production is swiftly evolving towards smart farming systems, [...] Read more.
The impacts of climate change on agricultural production are becoming more severe, leading to increased food insecurity. Adopting more progressive methodologies, like smart farming instead of conventional methods, is essential for enhancing production. Consequently, livestock production is swiftly evolving towards smart farming systems, propelled by rapid advancements in technology such as cloud computing, the Internet of Things, big data, machine learning, augmented reality, and robotics. A Digital Twin (DT), an aspect of cutting-edge digital agriculture technology, represents a virtual replica or model of any physical entity (physical twin) linked through real-time data exchange. A DT conceptually mirrors the state of its physical counterpart in real time and vice versa. DT adoption in the livestock sector remains in its early stages, revealing a knowledge gap in fully implementing DTs within livestock systems. DTs in livestock hold considerable promise for improving animal health, welfare, and productivity. This research provides an overview of the current landscape of digital transformation in the livestock sector, emphasizing applications in animal monitoring, environmental management, precision agriculture, and supply chain optimization. Our findings highlight the need for high-quality data, comprehensive data privacy measures, and integration across varied data sources to ensure accurate and effective DT implementation. Similarly, the study outlines their possible applications and effects on livestock and the challenges and limitations, including concerns about data privacy, the necessity for high-quality data to ensure accurate simulations and predictions, and the intricacies involved in integrating various data sources. Finally, the paper delves into the possibilities of digital twins in livestock, emphasizing potential paths for future research and progress. Full article
(This article belongs to the Special Issue Smart Farming: Addressing the Impact of Climate Change)
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