Towards Machine Learning and Artificial Intelligence in the Farm-to-Fork Industry
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Agricultural Science and Technology".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 3577
Special Issue Editor
Interests: dairy; regression modeling; dairy science; animal production; ruminant nutrition; animal nutrition; animal physiology; feed formulation; big data; data science
Special Issue Information
Dear Colleagues,
We are delighted to help organizing a Special Issue on “The Road towards Machine Learning and Artificial Intelligence for the Farm-to-Fork Industry” in Applied Sciences (MDPI).
Due to rapid development of precision livestock farming (PLF) and the availability of high-throughput information from sensors throughout the entire agricultural food chain, massive data has become available. Sensors produce data which represent the animal’s behavior as well as their environment (e.g. gas emissions, water quality) up to the transportation and processing of food. These PLF technologies have been proposed to help transition towards a more sustainable agriculture. The challenge of PLF technology nowadays is how to combine the enormous amount of (especially) heterogeneous data and subsequently model this data using novel techniques such as Machine Learning and Artificial Intelligence techniques.
The topics of interest for this Special Issue include, but are not limited to, the following:
- Advanced data-driven automated phenotyping using ML/AI
- Ontology design for Agrifood industry
- Data fusion techniques for Agrifood
- Machine learning using heterogenous PLF technology
- Improving traceability in the Agrifood using novel data driven techniques
Dr. Miel Hostens
Guest Editor
Manuscript Submission Information
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Keywords
- Big Data modeling
- machine learning
- Artificial Intelligence
- precision livestock farming
