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Applications of geospatial technologies for precision agriculture
Mobushir R. Khan
,
Richard A. Crabbe
, Naeem A. Malik
, Lachlan O'Meara
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
›
peer-review
5
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Citations (Scopus)
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Engineering
Big Data
50%
Climate Change Effect
50%
Deep Learning Method
50%
Internet-Of-Things
50%
Land Use
50%
Learning Technique
50%
Lifecycle
50%
Limiting Factor
50%
Machine Learning Technique
100%
Management Philosophy
50%
Microclimate
50%
Optimal Decision
50%
Provide Support
50%
Sensing Mechanisms
50%
Soil Electrical Conductivity
50%
Agricultural and Biological Sciences
Agricultural Land
11%
Australians
11%
Climate Change
11%
Crop Management
11%
Deep Learning Method
11%
Geographic Information System
22%
Internet-Of-Things
11%
Land Use
11%
Learning System
22%
Life Cycle
11%
Machine Learning
22%
Microclimate
11%
Precision Agriculture
100%
Remote Sensing
22%
Soil Moisture
11%
Earth and Planetary Sciences
Big Data Analytics
11%
Climate Change
11%
Crop Yield
11%
Farmland
11%
Food Production
11%
Food Security
11%
Geographic Information System
22%
Land Use
11%
Life Cycle
11%
Limiting Factor
11%
Machine Learning
22%
Microclimate
11%
Precision Agriculture
100%
Remote Sensing
22%
Soil Moisture
11%
State of the Art
11%
Chemical Engineering
Deep Learning Method
50%
Learning System
100%
Soil Moisture
50%