Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions

Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions

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The main impetus for the global efforts toward the current digital transformation in almost all areas of our daily lives is due to the great successes of artificial intelligence (AI), and in particular, the workhorse of AI, statistical machine learning (ML). The intelligent analysis, modeling, and m...

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Bibliographic Details
Main Authors: Angerschmid, A. (Author), Gollob, C. (Author), Gronauer, A. (Author), Holzinger, A. (Author), Krexner, T. (Author), Medel-Jimenez, F. (Author), Pejakovic, V. (Author), Retzlaff, C.O (Author), Saranti, A. (Author), Stampfer, K. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
AI for good
artificial intelligence
Artificial intelligence for good
'current
Cyber Physical System
cyber-physical systems
Decision support systems
Digital transformation
Ecosystems
Embedded systems
Forest operation
Forestry
human-centered AI
Human-centered artificial intelligence
Information fusion
Knowledge management
machine learning
Machine learning
Metadata
precision farming
precision forestry
Precision forestry
Precision-farming
Sensor
sensors
smart farming
Smart farming
smart forestry
Smart forestry
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