Digital Agriculture: Latest Advances and Prospects
A special issue of AgriEngineering (ISSN 2624-7402).
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 7119
Special Issue Editors
Interests: precision agriculture/horticulture; agricultural mechanization; remote sensing and GIS; machine vision; agricultural robotics and automation; big data; hyperspectral/multispectral imaging
Special Issues, Collections and Topics in MDPI journals
Interests: sensors; smart agriculture; agricultural robotics; computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Future agricultural and food production systems must make better use of limited resources to ensure that farmers can economically produce more high quality food for the growing world population while minimizing the impact on the environment. The current food production practices are addressing challenges such as climate change; crop loss due to plant stress, drought, invasive pests and diseases; inefficient management; and postharvest waste. Data-driven agriculture enables farmers to increase productivity, adapt to the changing climate, and reduce the risk of environmental degradation. Digital agriculture integrates advanced technologies to enhance agricultural production systems. It includes cutting-edge techniques to acquire and convert data to practical knowledge using validated interpretation models, and exploit this knowledge as decision-support tools.
This Special Issue is aimed at gathering recent developments related to digital agriculture and artificial intelligence with respect to its potential capabilities when used in agricultural applications. Contributions could include, but are not limited to, the following areas:
- Digital agriculture
- Smart farming
- Remote sensing
- Proximity sensing
- Artificial intelligence
- Data analytics and interpretation
- Spectral data analytics
- 3D point cloud analysis
- Thermography
- Decision support tools
- Data calibration
- Internet of things
- Prescription map
- Precision agriculture
- Big data
- Management zone
- Data management
- In situ sensing
Dr. Alireza Pourreza
Dr. Hao Gan
Guest Editors
Manuscript Submission Information
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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. AgriEngineering is an international peer-reviewed open access quarterly 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 1600 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
- digital agriculture
- smart farming
- remote sensing
- proximity sensing
- artificial intelligence
- spectral data analytics
- 3D point cloud analysis
- thermography
- decision support tools
- data calibration
- internet of things
- prescription map
- precision agriculture
- big data
- management zone
- data management
- in situ sensing
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