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Special Issue Editors

Prof. Dr. Egidijus Šarauskis

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Guest Editor

Agriculture Academy, Faculty of Agricultural Engineering, Institute of Agricultural Engineering and Safety, Vytautas Magnus University, Studentu Str. 15A, LT-53362 Akademija, Kaunas Distr., Lithuania
Interests: agricultural engineering; environment engineering; reduced tillage technologies; sowing machinery; precision agriculture; sowing and weed control robots; technological, energetic, and environmental assessment of the impact of agricultural technological operations on soil and environmental pollution
Special Issues, Collections and Topics in MDPI journals

Dr. Vilma Naujokienė

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Guest Editor

Agriculture Academy, Faculty of Agricultural Engineering, Institute of Agricultural Engineering and Safety, Vytautas Magnus University, Studentu Str. 15A, LT-53362 Akademija, Kaunas Distr., Lithuania
Interests: environmental engineering; agricultural technologies; sustainable animal husbandry; energy cost reduction and environmental sustainability in various agricultural systems; multicriteria bioimpact effectiveness for environmental improvement
Special Issues, Collections and Topics in MDPI journals

Dr. Zita Kriauciuniene

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Guest Editor

Department of Agroecosystems and Soil Sciences, Faculty of Agronomy, Agriculture Academy, Vytautas Magnus University, Studentu Str. 11, LT-53361 Akademija, Lithuania
Interests: soil, crop and residues management improvement; soil health; soil organic matter; soil biological activity; soil agrochemical and agrophysical parameters; use of bioactivators; meat and bone meal fertilisers in crop growing technologies; crop and weed allelopathy; sustainable agrotechnologies; precision agriculture; ICT in agriculture
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Delivering the European Green Deal and UN Sustainable Development Goals (SDGs) has highlighted the importance of achieving agricultural transition via the employment and realization of innovative agricultural systems, digitalization and automation. At present, technological developments are extremely rapid, but are still not implemented sufficiently in the agricultural sector. Innovations and automation are able to ensure the healthy production of food, the sustainable use of resources, and the adaptation and mitigation of climate change with the aim of saving the planet for future generations. Researchers play a crucial role in answering questions and helping to implement innovative adaptations in practice. In this Special Issue, we invite you to share the results of your high-quality research into innovative agrotechnologies, the application of novel preparations and equipment, automation, robotization, digitalization, ICT, sensors in agricultural systems, the application of precision agriculture, smart agricultural engineering in conventional, sustainable and organic crop production, horticulture, animal husbandry, and primary processing.

Prof. Dr. Egidijus Šarauskis
Dr. Vilma Naujokienė
Dr. Zita Kriauciuniene
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

agricultural machinery
automation and robotization
digital agriculture
precision agriculture
organic agriculture
innovation in animal husbandry
soil management
sowing, fertilization, spraying operations
plant care
harvesting
application of innovative bio-products
primary processing
sensing methods and devices
validation of automated methods
energy, economic and environmental assessment

Related Special Issue

Published Papers (1 paper)

Review

27 pages, 792 KiB

Open AccessReview

Machine Learning Applications in Agriculture: Current Trends, Challenges, and Future Perspectives

by Sara Oleiro Araújo, Ricardo Silva Peres, José Cochicho Ramalho, Fernando Lidon and José Barata

Agronomy 2023, 13(12), 2976; https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy13122976 - 01 Dec 2023

Cited by 2 | Viewed by 4925

Abstract

Progress in agricultural productivity and sustainability hinges on strategic investments in technological research. Evolving technologies such as the Internet of Things, sensors, robotics, Artificial Intelligence, Machine Learning, Big Data, and Cloud Computing are propelling the agricultural sector towards the transformative Agriculture 4.0 paradigm. The present systematic literature review employs the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to explore the usage of Machine Learning in agriculture. The study investigates the foremost applications of Machine Learning, including crop, water, soil, and animal management, revealing its important role in revolutionising traditional agricultural practices. Furthermore, it assesses the substantial impacts and outcomes of Machine Learning adoption and highlights some challenges associated with its integration in agricultural systems. This review not only provides valuable insights into the current landscape of Machine Learning applications in agriculture, but it also outlines promising directions for future research and innovation in this rapidly evolving field. Full article

(This article belongs to the Special Issue Agricultural Automation and Innovative Agricultural Systems—2nd Edition)

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