Recent Advances in Precision Farming and Digital Agriculture: 2nd Edition
A Special Issue of Applied Sciences (ISSN 2076-3417) belonging to the section "Agricultural Science and Technology".
Deadline for manuscript submissions: 20 October 2026 | Viewed by 636
Editors
Interests: conservative organic farming systems; soil conservation and no tillage; machines for soil tillage; under-row weed control in vineyard; precision agriculture; autonomous robot for agriculture; sustainable vineyard management; weed control; machines for physical weed control; robotic and digital fleet management; soil disinfection with physical method
Special Issues, Collections and Topics in MDPI journals
Interests: sustainable agricultural systems; agroecology; cover crops; intercropping; agroforestry; conservation agriculture; organic farming
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Digital agriculture likely represents the new frontier of precision farming. The collection, use and distribution of data to boost farmers’ activity is now a real and applicable reality. These technologies are useful: not only do they support farming activities, but they also assist in food chain activities and operations related to the maintenance of urban green areas and forestry.
Digital technologies can help “intelligent” machines used in precision farming to optimize their efficiency. The final aim of digital and precision farming is to save costs, time, labor, and inputs within sustainable farming systems. Digital technologies help different machines and devices share data collected by specific sensors. Data coming from these machines can now be used to help farmers thanks to advanced management platforms that act as decision support systems. Many tasks are then easier to handle, like fleet monitoring, operation planning, heat map visualization, and communication between machines. Moreover, advanced technologies can now allow autonomous robots to work in unstructured environments thanks to different sensor systems.
In this Special Issue, all contributions regarding innovative technologies and machines for digital and precision agriculture are welcome, including applications in agriculture, the food chain, urban green areas, and forestry. Manuscripts describing software, sensors, robotics, automation, fleet management, decision support systems and artificial intelligence applications are also welcome. Thus, we invite experts and researchers to contribute original research, reviews and opinion pieces covering the topics of this Special Issue.
Prof. Dr. Michele Raffaelli
Prof. Dr. Daniele Antichi
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences 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 2400 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
- sustainable farming systems
- robotics
- artificial intelligence
- internet of things
- agri-technology
- automation
- input reduction
- variable rate applications
- sensors
- fleet management
- decision support systems
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