Special Issue "Neural Networks and Image Analysis in Intelligent Agricultural Engineering"
Deadline for manuscript submissions: closed (15 June 2023) | Viewed by 5007
Interests: bio-instrumentation; biosensors; precision livestock farming; wearable sensors; agri-food nanotechnology; animal wearables; food biosensors; bioanalytical devices; microfluidic biosensors; bioelectronics
Special Issues, Collections and Topics in MDPI journals
Three decades of systematic farm-to-fork strategy-based ICT (information and communication technology) modelling and evaluations of the efficiency of mitigation measures have led to significant improvements in the addressal of challenges and acceleration in the transition to sustainable food systems. The agricultural sector is undergoing a transformation, driven by smart farming based on precision agriculture (PA) and digital livestock farming (DLF) technologies, but substantial further progress is needed. Smart farming based on digital agriculture principles and innovative governance models requires more precise and real-time platforms for the enhancement of crop production, animal welfare and productivity. For the development of efficient analytics for the dynamic and automated processing of the temporal–spatial distribution of soil, crops, animal sand environments in real time, several challenges need to be overcome. Out of those challenges, scalability for coping with big data and robustness for performance in real-time prediction are the most major. Conventional statistical techniques and approaches, such as random forests or decision trees, may not suffice; hence, there is a need for deep learning and advanced machine learning approaches for tackling the challenges of big data and real-time series prediction for developing novel solutions in the agrifood domain. This Special Issue calls for papers concerning the role of machine vision, sensor-enabled big data applications and implications of neural networks for smart agricultural applications.
Dr. Suresh Neethirajan
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 100 words) can be sent to the Editorial Office for announcement on this website.
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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access monthly 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 2600 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.
- digital livestock farming
- precision agriculture
- digital agriculture
- adaptation physiology
- computer technologies for agriculture
- agrifood big data analytics
- precision animal systems
- farm animal–computer interaction
- machine learning in animal omics
- data science in animal omics
- real-time sensor data for soil, air, crop and livestock