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Technologies and Techniques for the Enhancement of Agriculture 4.0

This special issue belongs to the section “Agricultural Science and Technology“.

Special Issue Information

Dear Colleagues,

Greater improvements in Agriculture 4.0 technologies create new opportunities for farms of all sizes, additionally offering economic opportunities in terms of sustainability, which could further be advanced with agricultural operations being managed intelligently through technological innovation in sensors, devices, machines and information technology. It is crucial to increase the use of sophisticated technologies such as robots, sensors, hyperspectral imaging and positioning technologies. As such, agricultural companies, in addition to becoming more profitable, will be more efficient, safe and respectful of the environment. To implement such a technological transition at any level, a greater effort is needed to make such innovative and complex technologies accessible to all. In this context, it is necessary to strengthen research into and the development of models, devices and services, such as the following: proximal and remote sensing, data processing, digital technologies, informed decision making, telecommunications, AI and robotics.

Therefore, this Special Issue welcomes submissions of original research and review studies in the abovementioned research areas.

Prof. Dr. Roberto Romaniello
Dr. Claudio Perone
Guest Editors

Manuscript Submission Information

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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

  • Agriculture 4.0
  • smart farming
  • agri-technologies
  • precision agriculture
  • information technologies
  • robotics
  • machine learning
  • big data
  • artificial intelligence (AI)
  • Internet of Things (IoT)
  • virtual and augmented reality

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Appl. Sci. - ISSN 2076-3417