The document discusses the development of an agriculture information system using remote sensing and GIS techniques. The methodology involves acquiring datasets of the study area, preprocessing the data, delineating watersheds and suitable areas for check dams and crop cultivation. Vegetation analysis is conducted from LISS III imagery to extract crop coverage. A model builder is created to combine processes into a single workflow. The results are hosted on a spatial database and map server with a RESTful web service to disseminate information to stakeholders. The system aims to provide precise and timely spatial information to support decision making in agriculture.

2.  INTRODUCTION
 STUDY AREAAND DATAUSED
 METHODOLOG
 RESULT AND DISCUSSION
 CONCLUSION AND RECOMMONDATION

3. * AGRICULTURE INFORMATION SYSTEM
* REMOTE SENSING & GIS
* WEB APPLICATION
* LAND SUITABILITY FOR CROP(IRRIGATION SENSITIVE)
* VEGETATION COVERED AREA
* IRRIGATION MANAGEMENT SYSTEM
* CROP AND ITS VERITY SELECTION
* PROBLEM STATEMENT
* PROJECT OBJECTIVE

4.  The agriculture information system is a new concept in present scenario that has
capability to fulfill most of the requirement of agriculture business stack holders.
 Stack Holders
 Farmers
 Sugar Mills Owners
 Pesticide, Fertilizer production houses
 Government respondents
 Canal operators
 Food Corporation of India
 Storage and management department
 Application
 FARMERS : for crop selection
 SUGAR MILL OWNERS : surveying and site selection
 FERTILIZER AND PESTICIDE PRODUCERS : requirement assessment
 AGRICULTURE DEPENDENT SSI : raw material availability assessment
 GOVERNMENT RESPONDENTS : decision making support for various process execution

5.  To cover large part of interest area in the several constraints such as resources,
time and accuracy etc., remote sensing concept is useful to generate information
that accomplish stake holders requirement.
 For the generation of real time information, remote sensing most useful then any
other existing methods.
 Availability of remote sensing data is much faster to accomplish wide area of
interest.
 In the present scenario stake holders are interested in spatial information for
decision making processes that only achieved by GIS concept.

6.  Requirements
 To communicate information with stack holders.
 To Provide interface between database and data generators.
 To locate spatial coverage of interested area.
 Requirement of robust channel for information delivering.
 Properties
 Easy to access and user friendly
 Less expansive than any other source of communication
 Wide coverage

7.  The concept to chose crops that support geological and real time constraints.
 To provide geological, climatic, irrigation facility, and real time information to
stack holders.
 To provide precise result on processing of real time data that give by stack holder
and us.

8.  Properties
 Tendency to accumulate maximum precipitated water.
 Could be use as irrigation unit.
 Application
 For soil preservation, by minimizing the flow speed of precipitated water.
 Working as a ground water recharge unit.
 Use as a irrigation source.

9.  Most of the decision making processes could be done by the proper knowledge of
vegetation covered area with spatial location and detail information of crop.
 The extraction of crop from LISS-III imagery gives the percentage of area
covered by particular crop.
 Applications
 Provide decision making support, where requirement of spatial coverage of crop.

10.  Irrigation management system is the most influence parameter for
agriculture.
 With proper network information of canal, sub-canal, tube well we can
accomplish instances decision making requirement on critical conditions.

11. “We are in the era of smart revolution, where every processes going to be
smart categories. There is need of smart information delivering system in
agriculture that has capability to deliver precise and instance information
to interested parties to accomplish their need.”

12.  Developing a robust information system that has capability to make a positive
change in every stack holder of agriculture business.
 Deployment of remote sensing and GIS concept in the generation of required
information, delivering these information and reciprocate with user through a
channel that is simple to access and precise in work.

13. *Study Area
*Data Used and Dataset Properties

15.  GENERAL INFORMATION
 Geographical Area (Sq. Km.) : 2341
 Number of Tehsil / Block : 2/11
 Number of Villages / Town : 1247 / 6
 Population (as on 2001 census) : 20,89,000
 Average Annual Rainfall (mm)
 GEOMORPHOLOGY
 Major Physiographic Units : Flood Plain, Sand bars,
 Ravines, Salt Encrustation,
 Alluvial Plain
 Major Drainages : Ghaghra and Gomti
 LAND USE (Sq. Km.)
 Forest area : 3038 Ham
 Net area sown : 134236 Ham
 Cultivable area : 205199 Ham
 MAJOR SOIL TYPES
 Balua
 Doras
 Matiyar

16.  Cartosat-1 DEM
 IRS-P6 LISS-III Imagery
 Ground water level map

17. * DATA ACQUISITION AND SOFTWARE USED
* PREPARATION AND PREPROCESSING
OF DATASET
* DELINEATION OF WATERSHED
* DELINEATION OF APPROPRIATE PLACE
FOR CHECK DAM
* DELINEATION OF LAND SUITABILITY
FOR CROP (IRRIGATION SENSITIVE )
* VEGETATION COVERD EXTRACTION
FROM LISS-III IMAGERY
* MODEL BUILDER AND GUI

18. The methodology is mainly divided into following sections:
 Acquiring the required datasets of the observation area.
 Preparation and preprocessing of the datasets for the observation area.
 Processing of dataset for the retrieval of required information.
 Presentation of spatial Information through the map.
 Provide the information to remote user by restful web service.

19. RESULT
DATABASE SERVER MAP SERVER
RESTFUL WEB
SERVICE
REMOTE SENSING &
GEOGRAPHICAL
DATA
DATA PROCESSING ANALYSIS

20.  Ground Water Level Map Creation.
 DEM raster preprocessing of observation area.
 LISS-III Imagery preprocessing of observation area.

21. GROUND WATER
LEVEL MAP
VECTORIZATION
SHAPEFILE
RASTER
RECLASSIFY
RASTER

24. DEM MOSAIC
CLIP
PROJECT

25. LISS-III B3
Tiles
LISS-III B4
Tiles
LISS-III B5
Tiles
LISS-III B2
Tiles
MOSAIC
MOSAIC
MOSAIC
MOSAIC LISS-III B2
LISS-III B2
LISS-III B2
LISS-III B2

29.  For the pond suitability analysis we have required watershed information of
observation area.
 Functionality of pond is highly dependent on watershed.
 By the help of watershed, we can estimate where precipitated waters outlet point
and for that outlet point how much area is respondent.

30. DEM FILL
FLOW
DIRECTION
FLOW
ACCUMLATION
STREAM
R_CAL
STREAM
LINK
WATER SHED
BASIN

35.  We are discussing a pond that could be used as ground water recharging unit and
other application such irrigation etc.
 For the appropriate sites selection, sits should be endorse few properties.
 Pond should be at outlet point to accumulate maximum precipitated water.
 It should cover maximum watershed area if we have limited number of pond
development projects. It can be accomplish by chosen of common outlet point of
different- different sub basins.

36. CHECK DAM
SUTIABLE
PLACEES
MAXIMUM PRECIPETED
WATER ACCUMLATION
POINT OBSERVATION &
ANALYSIS
PRECIPATE
D WATER
FLOW
DIRECTION
OUTLET
POINT
BASIN
AREA

38.  Minimize the investment cost in agriculture, there should be information of land
that most suitable for the particular crop.
 This is also required for site selection of agriculture based industries.
 By the information of favorable area for the crop, stake holders could choose that
crop and maximize their profit.

39. FEATURE TO
RASTER
SLOPE
RECLASSIFY
WEIGHTED
OVERLAY
SUITABLE LAND
FOR CROP
PRE MONSOON
GWL .SHP
POST
MONSOON
GWL .SHP
SOIL
MOISTURE
DEM

40. DEM(GCS) PROJECT
DEM(projected)
SLOPE
SLOPE
(RASTER)
The values of the center cell and its eight
neighbors determine the horizontal and
vertical deltas. The neighbors are
identified as letters from a to i,
with e representing the cell for which
the aspect is being calculated.
Surface scanning window
The rate of change in
the x direction for cell
e is
calculated with the
following algorithm:
[dz/dx] = ((c + 2f + i) - (a + 2d + g) /
(8x_cellsize)
The rate of change in the y direction for
cell e is calculated with the following
algorithm:
[dz/dy] = ((g + 2h + i) - (a + 2b + c)) / (8 *
y_cellsize)

43. LISS-III B4(NIR)
LISS-III B3(red)
NDVI ANALYSIS
THRESHOLD
SELECTION
ARITHMETIC
OPERATION
RESULT
IN %AND IMAGE

45.  For the instance information generation from the raw data, we have need of a
system that include all the internal processes and give us desired result on the
single operation.
 To fulfill this requirement ArcGIS provide a model builder concept, it can be use
as a tool for our requirement that combine several individual processes in single
process.

46. MODEL BUILDER
INPUT OUTPUT
COMBINATION OF
PROCESSES

47. Spatial Data Postgresql
Database
Geo
Ser
ver
To
mc
at
we
b
ser
ver

49.  Our Agriculture Information System will try deliver all the agriculture relative
information for most of the agriculture-business stake holders. In the first phase
of our project we are tried to reach all the part of system for the generation of
useful information.
 Through the analysis of free source available data we produce some reliable
output that is use full those stake holder who are involve in larger scale strategies.
 In II phase we have given positive effort to tackle smaller stake holder such as
farmers etc.

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51. “It always seems
impossible until it's done.”
― Nelson Mandela