Certificate Course

Agronomy – Geo-informatics in Agriculture studies

Duration - 90 Days

Online Training(Live Session) &

Offline(Bangalore Campus)

Certificate Course in Agronomy – Geo-informatics in Agriculture studies

ArcGIS and ERDAS IMAGINE.
This course is geared toward understanding the fundamental concepts of:

Agronomy is a branch of agriculture that deals with soil and crop. Soil varies in space and is responsible for variation in the growth and yield of crops on the field. This variation in the yields of crops planted and monitored on the same parcel of land under the same environmental conditions has been a great concern to farmers.

The potential of GIS application in agronomy is obviously large. However, the GIS user community in the field of agronomy is rather small compared to other business sectors. To advance the use of GIS in agronomic studies, this course tends to explore the applications of GIS and RS to fields in agronomy.

Hence, the need to separate the field into site specific management units using geographical information systems (GIS) and Remote Sensing (RS) for effective soil and crop management in order to obtain optimum productivity.

Geographic Information Science, Remote Sensing, and Cartography.

Geoprocessing, Network Analysis, Spatial Analysis, Land Use, and Land

Cover, HotSpot Analysis, Interpolation, Web Services (WMS and WFS)

Spatial Query, Spatial Database Concepts with PostGIS(QGIS).

Analyze spatial data (Extract, Overlay, and Proximity), 3D Analysis.

Crop masking, developing FCC, Crop Identification, and Crop Classification.

The area under each crop, area stratification, and calculation of various vegetation indices.

Demonstration session with few RS IMAGES.

Different data available  specific  to agriculture (NDVI, LAI imaginaries  available in USGS by different sensors)

The candidate(s) will be made familiar with the Analysis concepts of GIS, remote sensing, and definitions such as spatial imagery, digital image, and digital image processing/analysis, etc. amongst others. Different variety of spatial data will be introduced and worked upon. Introduction to spatial analysis will provide an understanding of opting appropriate analysis tools for specific projects. 

Course Objective and Outcome

At the end of the course the student will be able to understand
• Characterization of crops using Remote Sensing tools
• The concepts of soil mapping through remote sensing
• The evaluation of land capability for better land use planning
• The methods to assess damage to crop by floods, droughts, pests using remote sensing techniques
• Characterization of forest entities for analysis of deforestation, forest fire damages

Who Can apply

Agricultural Experts, Soil scientists, Animal Scientists, Entomologists, Farm managers, environmentalists, farmers, and students. Basic to Intermediate Level Understanding of GIS and Remote Sensing

Course - Duration / Training Methodolgy

Total Duration:- 90Days 

 

Mode of Training -

Bangalore - Classroom + Practicals.

Online - Live Online Classes. Daily 2 Hrs(Need to have a laptop or Computer with Good Internet)

               Dedicated Trainer, Practical sessions. One-on-One Live Training Session.

  • GIS Project Planning & Execution.

  • Hands-on Practical Training.

Course Module and Content

Introduction

Agronomy, an aspect of agriculture
Geographical information system
Importance of GIS to agronomy
Applications of GIS in agronomy (examples)
Operational use of GIS in precision farming: regional and local levels
GIS applications in agrometeorological operations
Use of GIS for agronomic characterization and zonation
GIS application in soil survey studies

Planning the data – GIS

Vector and Raster Data
Non-Spatial Data (CSV)
Creating Vector Files and Data Collection
Attribute Table Creation/Editing, Join Table
Datum
Coordinate System
Map Projection
Map Scales
Introduction to Symbolization.
Single Symbol, Unique Value
Graduated Colours, Proportional Symbol
Dot Density, Chart
Heat Map
Making a map with labels

Planning the data – Remote Sensing

Satellite Imagery and Types – Point Cloud
Using GCP, Vector files, KML, Top sheets, PDF
History of Maps.
Web Mapping Service (WMS).
Web Feature Service (WFS).
Finding Web Services.

Crops

Introduction
Leaf optical properties
Identification of crops and crop inventorying
Crops acreage estimation
Vegetation Indices
Yield estimation
Crop production forecasting through digital analysis
Microwave and hyperspectral sensing for crop inventory
Crop monitoring and condition assessment in command areas

Soils

Introduction
Soil Serve and its types
Soil genesis and soil classification
Soil taxonomy
Soil reflectance properties
Soil mapping
Saline, alkali soil characteristics and its mapping
Soil erosion and sedimentation
Assessment of soil erosion
Estimation of reservoir capacity

Land evaluation and management

Introduction
LULC classification
Concept and approaches of land evaluation
Parametric methods
Change detection in land uses
Decision support system for land use planning
Optimum land use planning for sustainable agriculture

Applications

Characterization of crops
Land capability for better land use planning
Damage assessment to crops by flood, droughts, pests
Forest entities – destruction through forest fire
Crop assessment and crop health
Irrigation landscape mapping
Agricultural mapping for detailed vegetation cover and monitoring
Damage and land degradation assessment
Erosion identification and remediation

Add-Ons and Placement Support

Mock Interview

Technical Test 

Closing and Discussions.

Live Project Work.

Labs.

Mid Test.

Resume Preparations.

Placement Assistance(Training & Interviews and Refer to the Companies).

Registeration and Course Fees

Course Fee: Call or Whatsapp - +91 9980083996

Duration : - 30 Days

Method - Training can be conducted Online or Can be conducted in Bangalore Campus.

How To Apply

Whatsapp/Call to +91 9980083996


The Course Fees can be negotiated depending upon the number of students and all the students will receive the Certificate from AGSRT and HERE Technologies(Internship).

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