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Work Summary
By- Swati Tiwari
Content
Vegetation analysis
01 • Code for Vegetation Indices
Training Course ppt
02 • Course content for training Centre
GIS Course syllabus
03 • GIS Course Content PPT
SIS Course
04 • SIS training course content ppt
05 TPM writing • Training procedure manual for RPTO
Paras-Agri solution • PPT about Agri drone both hardware
and software solution
06
07 ML/DL • Vegetation health analysis by using
ML/DL model
08 Post creation • Content for the Agri’s social media
post
09 Lidar Data processing • Lidar data processing for vegetation
classification
Training Course
content PPT
Remote Pilot Training Course content ppts
Course Content PPT
Syllabus
Content
Script
Recording
PPT for drone pilot training
PPT’s Content
Wrote script for entire course
Script Writing
Video recording yet to be done
Video recording
Designed the syllabus according
to the DTC 02
DTC 02
GIS Course Content
Syllabus
Design the Syllabus for the
selected topics with the
help of various references
Course Structure
Design the course
structure of GIS courses
for colleges
Content
Wrote the whole
content for given
syllabus
SIS Training
Course PPT
SIS training course content ppts
SIS Training Course
Designed the course structure
according to training schedule
Course Structure
Prepared the questionnaire for
the training
Q/A
Designed the syllabus according
to the course structure
Syllabus
Wrote the content of Course
according to the designed
syllabus
Course Content
Training Procedure Manual
Vegetation Health Analysis
DATA
Used PAS- multispectral data for
the processing
RESULT Compared the result with RGB
INDICES NDVI, NDRE, MSAVI2, NDWI, OSAVI
Vegetation Indices
MSAVI2
NDWI
NDRE
NDVI
Read the data and get the information
about pixels and bands.
Reading data
Visualize the indices with help of colormap.
Visualization
Calculate the each indices with the
help of their respective formulas.
Calculation
ML/DL
Use of ML
Tried to classify
vegetation with the
help of ML model,
Our model did the
classification for
different landcover.
Used the unsupervised classification
for the classification
Unsupervised Classification
Used the K-means model for
clustering
K-means Model
Identification of different landcover
using classification
Result
CODE FOR DL MODEL
Lidar Data processing
Install the lidar packages like lidar, laspy. It took lots of
time because of compatibility issues
Lidar package
Read the data file of las format and get the
information about specifications and features.
Reading Data
It is in the process , we are using algorithm for the
segmentation.
Tree segmentation algorithm
Filtering the data, ground point removal and
normalization.
Data Pre-processing
We took small sections from the whole data for
our process.
Subset of data
PAS-Agri Solution
Gave its features
details in brief like
spraying system, return
to home, geofencing,
autonomous flight
Features
PAS-Agri
specifications in
details
Specifications
Either it will be a camera
or tank, we have
different payloads as per
requirement
Payloads
Either for a vegetation
survey or for a chemical
spraying, what we will
provide as a service
Deliverables
Calculate vegetation
indices with the help of
PAS-multispectral
camera
Vegetation Indices
Introduced DL model for
vegetation analysis
Deep Learning Model
Writing training script for
GIS course, work is in the
process
Wrote
training
script of the
entire
course for
drone pilots.
Preparing
Questionnaire
for GIS course
THANK YOU

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Work progress GIS.pptx

  • 2. Content Vegetation analysis 01 • Code for Vegetation Indices Training Course ppt 02 • Course content for training Centre GIS Course syllabus 03 • GIS Course Content PPT SIS Course 04 • SIS training course content ppt 05 TPM writing • Training procedure manual for RPTO Paras-Agri solution • PPT about Agri drone both hardware and software solution 06 07 ML/DL • Vegetation health analysis by using ML/DL model 08 Post creation • Content for the Agri’s social media post 09 Lidar Data processing • Lidar data processing for vegetation classification
  • 3. Training Course content PPT Remote Pilot Training Course content ppts
  • 4. Course Content PPT Syllabus Content Script Recording PPT for drone pilot training PPT’s Content Wrote script for entire course Script Writing Video recording yet to be done Video recording Designed the syllabus according to the DTC 02 DTC 02
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. GIS Course Content Syllabus Design the Syllabus for the selected topics with the help of various references Course Structure Design the course structure of GIS courses for colleges Content Wrote the whole content for given syllabus
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20. SIS Training Course PPT SIS training course content ppts
  • 21. SIS Training Course Designed the course structure according to training schedule Course Structure Prepared the questionnaire for the training Q/A Designed the syllabus according to the course structure Syllabus Wrote the content of Course according to the designed syllabus Course Content
  • 22.
  • 23.
  • 24.
  • 26. Vegetation Health Analysis DATA Used PAS- multispectral data for the processing RESULT Compared the result with RGB INDICES NDVI, NDRE, MSAVI2, NDWI, OSAVI
  • 27.
  • 28. Vegetation Indices MSAVI2 NDWI NDRE NDVI Read the data and get the information about pixels and bands. Reading data Visualize the indices with help of colormap. Visualization Calculate the each indices with the help of their respective formulas. Calculation
  • 29.
  • 30.
  • 31.
  • 32. ML/DL Use of ML Tried to classify vegetation with the help of ML model, Our model did the classification for different landcover. Used the unsupervised classification for the classification Unsupervised Classification Used the K-means model for clustering K-means Model Identification of different landcover using classification Result
  • 33.
  • 34. CODE FOR DL MODEL
  • 35. Lidar Data processing Install the lidar packages like lidar, laspy. It took lots of time because of compatibility issues Lidar package Read the data file of las format and get the information about specifications and features. Reading Data It is in the process , we are using algorithm for the segmentation. Tree segmentation algorithm Filtering the data, ground point removal and normalization. Data Pre-processing We took small sections from the whole data for our process. Subset of data
  • 36.
  • 37.
  • 38. PAS-Agri Solution Gave its features details in brief like spraying system, return to home, geofencing, autonomous flight Features PAS-Agri specifications in details Specifications Either it will be a camera or tank, we have different payloads as per requirement Payloads Either for a vegetation survey or for a chemical spraying, what we will provide as a service Deliverables Calculate vegetation indices with the help of PAS-multispectral camera Vegetation Indices Introduced DL model for vegetation analysis Deep Learning Model
  • 39.
  • 40.
  • 41. Writing training script for GIS course, work is in the process Wrote training script of the entire course for drone pilots. Preparing Questionnaire for GIS course