Technologies and Techniques for the Enhancement of Agriculture 4.0
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Agricultural Science and Technology".
Deadline for manuscript submissions: 20 May 2025 | Viewed by 43
Special Issue Editors
Interests: agri-food engineering; agricultural machinery; image analysis; mechanical plants; food plants
Special Issues, Collections and Topics in MDPI journals
Interests: agri-food engineering; energy savings; mechanical plants; heat transfer; renewable energy
Special Issues, Collections and Topics in MDPI journals
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.
Dr. Roberto Romaniello
Dr. Claudio Perone
Guest Editors
Manuscript Submission Information
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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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