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Agronomy
Special Issues
Soil Health and Properties in a Changing Environment
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Soil Health and Properties in a Changing Environment

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Soil and Plant Nutrition".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 1082

Special Issue Editors

Dr. Eugenija Bakšienė

E-Mail Website
Guest Editor
Voke Branch, Institute of Agriculture, Lithuanian Research Centre for Agriculture and Forestry, Žalioji a. 2, LT 02232 Vilnius, Lithuania
Interests: Ecology; organic fertilizers; soil science; agrochemistry; production of agricultural and bioenergy crops; plants phenological observations
Special Issues, Collections and Topics in MDPI journals
Dr. Audrius Kačergius

E-Mail Website
Guest Editor
Voke Branch, Institute of Agriculture, Lithuanian Research Centre for Agriculture and Forestry, Žalioji a. 2, LT 02232 Vilnius, Lithuania
Interests: soil properties and microbiology; plants pathology; molecular biology; biomass conversion process
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Healthy soil is the foundation of sustainable and productive agroecosystems.

The soil must perform a variety of agronomic and ecosystem functions, support biological productivity, maintain environmental quality and promote plant and animal health.

Anthropogenic factors, the use of agricultural technologies and systems have a significant impact on soil health, as well as on environmental protection and climate change. As civilization grows, waste accumulates, the mess of which greatly affects the quality of the environment. Therefore, they are increasingly used to fertilize the soil. That's not always a good thing. To reduce this negative impact, more attention should be paid to the interaction of growing plants with various physicochemical, biological soil properties.

Specific scientific information collected in the special issue "Soil Health and Properties in a Changing Environment" will fill knowledge gaps and allow a broader understanding of the problem as a whole and ways to solve it. Original research (full articles or brief reports), reviews or opinions on soil properties in changing conditions will be published here. Articles that should improve our knowledge on this topic, especially those that reflect indicators of soil health and properties, are welcome.

Dr. Eugenija Bakšienė
Dr. Audrius Kačergius
Guest Editors

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. Agronomy is an international peer-reviewed open access monthly 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

  • soil health
  • properties
  • environment

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Published Papers (1 paper)

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Review

22 pages, 3649 KiB  
Review
How Can Soil Quality Be Accurately and Quickly Studied? A Review
by Radwa A. El Behairy, Hasnaa M. El Arwash, Ahmed A. El Baroudy, Mahmoud M. Ibrahim, Elsayed Said Mohamed, Dmitry E. Kucher and Mohamed S. Shokr
Agronomy 2024, 14(8), 1682; https://doi.org/10.3390/agronomy14081682 - 30 Jul 2024
Viewed by 889
Abstract
Evaluating soil quality is crucial for ensuring the sustainable use of agricultural lands. This review examines the definition, evaluation methods, indicator selection, and relevant case studies. The concept of soil quality supplements soil science research by deepening our understanding of soils and aiding [...] Read more.
Evaluating soil quality is crucial for ensuring the sustainable use of agricultural lands. This review examines the definition, evaluation methods, indicator selection, and relevant case studies. The concept of soil quality supplements soil science research by deepening our understanding of soils and aiding in the allocation of resources as agriculture intensifies to meet rising global demand. Soil quality provides a framework for educating stakeholders about the essential functions of soils and offers a tool for assessing and comparing different management techniques. Regular evaluation of soil quality is vital for maintaining high crop yields and addressing the gap between production and consumption. Nowadays, many researchers have explored machine learning (ML) and deep learning (DL) techniques and various algorithms to model and predict soil quality with satisfactory results. These chosen indicators can be influenced by chemical, biological, or physical features. This paper compares ML and DL with traditional methods, examining their features, limitations, different categories of machine learning, and their applications in soil quality assessment. Finally, we show that predicting soil quality has the potential to be extremely accurate and efficient with ML and DL. This distinguishes the application of DL and ML from other approaches since they can anticipate the soil quality index without the need for more intricate computations. Our suggestion for future studies is to evaluate soil quality over broader regions and predict it by using more accurate, modern, and faster methods, using a variety of activation functions and algorithms. Full article
(This article belongs to the Special Issue Soil Health and Properties in a Changing Environment)
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