Statistical Tools in Precision Farming
A special issue of Stats (ISSN 2571-905X).
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 3392
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
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Keywords
- precision agriculture
- IoT
- regression
- classification
- clustering
- time-series
- machine learning
- reinforcement learning
- stochastic control
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