Geo-informatics- definition, concepts, tools and techniques; their use in Precision Agriculture
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Dec 12, 2024
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About This Presentation
Geoinformatics is the science and technology of capturing, storing, and analyzing spatial information to solve problems in Earth sciences. It's used in precision agriculture to improve crop yields and reduce environmental impact. Some of the tools and techniques used in geoinformatics include:
...
Geoinformatics is the science and technology of capturing, storing, and analyzing spatial information to solve problems in Earth sciences. It's used in precision agriculture to improve crop yields and reduce environmental impact. Some of the tools and techniques used in geoinformatics include:
Remote sensing
Uses sensors mounted on platforms like satellites, aircraft, or balloons to collect radiation and make inferences about objects without physical contact. Remote sensing can be used to model crop yields, identify pests, and monitor irrigation.
Global positioning system (GPS)
Provides real-time 3D positioning and navigation. GPS can be used for farm planning, tractor guidance, and yield mapping.
Geographic information system (GIS)
A computerized system for storing and analyzing spatial data. GIS can be used to create maps that show how yield, fertility, pests, and other factors interact.
Soil mapping
Uses remote sensing and GIS to collect and analyze data about soil characteristics. Soil maps can help farmers identify variations in soil properties and apply fertilizers and irrigation more accurately
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Language: en
Added: Dec 12, 2024
Slides: 11 pages
Slide Content
Geo-informatics- definition, concepts, tools and
techniques; their use in Precision Agriculture
Geoinformatics and Nanotechnology and Precision
Farming 2(1+1)
Course Teachers
Dr. M. KUMARESAN, Ph.D.
(Hort.)
School of Agriculture
Vels Institute of Science, Technology
and Advanced Studies (VISTAS)
Pallavaram, Chennai - 600 117
Geo-informatics refers to the science and technology of collecting, analyzing,
and interpreting geospatial data and information. It involves the use of
geographic information systems (GIS), remote sensing (RS), global positioning
systems (GPS), and spatial data analysis to study the Earth's surface and its
processes.
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Geo-informatics integrates multiple technologies to capture, store, manipulate,
and visualize spatial data to support decision-making in various fields such as
agriculture, urban planning, environmental monitoring, and disaster
management.
Geo-informatics
Key Concepts in Geo-Informatics
1.Geospatial Data: Information that is tied to a specific location on the Earth’s surface.
2.Geographic Information System (GIS): GIS tools allow for mapping and spatial
analysis
3.Remote Sensing (RS): RS is used for monitoring crop health, soil properties, and
environmental factors.
4.Global Positioning System (GPS): A satellite-based navigation system allowing for
accurate field mapping, navigation of farm machinery, and variable rate applications.
5.Spatial Analysis: Spatial analysis is used to identify soil variability, crop yields, and field
conditions.
Tools and Techniques in Geo-Informatics
Geographic Information Systems (GIS)
Field Mapping: GIS allows to create maps that represent soil types, moisture
levels, and crop conditions across different parts of a field
Layer Analysis: GIS can connect different layers of data (e.g., soil,
weather, crop yield) to visualize spatial patterns and correlations.
Spatial Data Modeling: Models based on spatial data help predict
outcomes, such as yield forecasts, disease spread, and irrigation needs
Tools and Techniques in Geo-Informatics
Remote Sensing (RS)
Vegetation Indices: Remote sensing technologies use indices like NDVI
(Normalized Difference Vegetation Index) to assess plant health by analyzing
the reflectance of light from crops. NDVI helps detect stressed crops,
nutrient deficiencies, or disease outbreaks.
Change Detection: Satellite images taken at different times can be
compared to detect changes in crop health, soil moisture, or land cover.
Multispectral and Hyperspectral Imaging: These methods capture
information across different wavelengths of light, helping to identify specific
crop diseases, nutrient deficiencies, or pest infestations that are not visible to
the human eye.
Tools and Techniques in Geo-Informatics
Global Positioning System (GPS)
Precision Field Mapping: GPS technology enables farmers to create
accurate maps of field boundaries, soil properties, and yield data
Guidance Systems: GPS-based auto-steering systems in tractors and
harvesters ensure precise positioning, reducing overlap and gaps in field
operations
Variable Rate Applications: GPS-enabled equipment can apply water,
seeds, or fertilizers at variable rates, adjusted based on real-time GPS data
and other field conditions
Tools and Techniques in Geo-Informatics
Spatial Data Analysis
Geo-statistics: This technique uses statistical methods to analyze and model
the spatial variability of soil properties, crop yields, and other factors. For
example, kriging is often used to interpolate soil nutrient data across large
fields
Buffer Analysis: Buffer zones can be created around areas of interest
(e.g., water bodies or irrigation systems) to assess the impact of field activities
like pesticide application or irrigation
Cluster Analysis: This method groups similar data points (such as soil types
or yield levels) into clusters, helping farmers identify management zones for
site-specific interventions
Use of Geo-Informatics in Precision Agriculture
Soil Health and Fertilizer Management:
Soil Mapping: Using GIS, farmers can create detailed maps of soil fertility,
pH, and texture across their fields. This information is crucial for optimizing
fertilizer applications through variable rate technology (VRT).
Nutrient Deficiency Monitoring: Remote sensing and GPS technology enable
precise identification of nutrient deficiencies in different parts of the field,
allowing for targeted interventions.
Use of Geo-Informatics in Precision Agriculture
Yield Prediction and Monitoring
Yield Mapping: GPS-enabled yield monitors on harvesters collect yield
data throughout the harvest process. This data, when combined with GIS and
remote sensing, helps farmers analyze field variability and optimize crop
management strategies for future seasons.
Crop Health Monitoring: Remote sensing techniques, such as
multispectral and hyperspectral imaging, allow for early detection of crop
diseases, pest infestations, or nutrient deficiencies, allowing farmers to take
timely corrective actions.
Use of Geo-Informatics in Precision Agriculture
Field Zone Management
Zoning: GIS and spatial analysis allow farmers to divide fields into
management zones based on soil properties, crop health, and yield data.
These zones help to apply inputs like water, fertilizer, and pesticides more
efficiently and accurately.
Site-Specific Practices: Using data collected via geo-informatics tools,
farmers can implement site-specific management practices for irrigation,
fertilization, and pest control, maximizing productivity and minimizing
resource wastage