Statistical Tools in Precision Farming
A special issue of Stats (ISSN 2571-905X).
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 3388
Special Issue Editors
Interests: foundations of probability and statistics; machine learning; analog and digital signal processing; ambient intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: greenhouse horticulture; soilless culture; nursery crops; plant water relations; mineral nutrition; crop modeling; quality of vegetables; open-field vegetable crops; biofortification; wild edible plants
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
According to a McKinsey and company report in 2016, nearly 800 million people go hungry, while one third of all food is lost during production each year. To tackle this problem, research has focused on precision farming during the last few years, where productivity, efficiency, and profitability are increased on a long-term basis while unintended impacts on the environment are minimized.
This Special Issue focuses on theories, methodologies, techniques, and tools in statistics that improve state-of-the-art precision farming. Topics include but are not limited to statistical learning from sensor data, statistical analysis of data, prediction of performance indicators, and statistical reasoning.
Dr. Alexander Kocian
Assoc. Prof. Dr. Luca Incrocci
Guest Editors
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. Stats 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
- precision agriculture
- IoT
- regression
- classification
- clustering
- time-series
- machine learning
- reinforcement learning
- stochastic control
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
