Krishi sense agriculture decision support system

1. Prepared By:
Pankaj Khodifad(09BEC027)
Guided By:
Prof. Sachin Gajjar and Prof. Nirav Modi
(Electronics and Communication department)
Major Project
Institute of Technology

2. Outline
• Introduction
• Knowledge Base Agriculture System
• KrishiSENSE
• EZ430RF2500 Kit
• Demo
• Reference

3. Agriculture : A Complex System
Productivity is affected by variability in the following six groups:
• Yield variability
• Field variability
• Soil variability
• Crop variability
• Variability in anomalous factors
• Management variability
Precision Agriculture (PA) is to manage these variability

4. FIELD IRRIGATION
MODULEType & Variety of Crop
Type of Soil
Date of sowing
Soil Temperature
Atmospheric
Temperature
Solar Radiation Duration
Wind Velocity
Ambient Humidity
Rainfall Data and Agro
climate zone
Leaf/Plant Image
pH & other N, P, K Value
Crop Specific Information (Data Base)
 Optimum Timing for Irrigation
 Best Suitable weather
 Ideal Stages Schedule
TYPES OF DISEASE &
INFECTION (Data Base)
PEST CONTROL
MODULE
FARM LAND
NUTRITION
MODULE
N, P, K AND OTHER
MICRONUTRIENTS & THEIR EFFECTS
& SUPPLIES (Data Base)
Number of Days left for
Irrigation
Irrigation not
required
Arrange
within week
Severely
required
Suggestion of schedule of activities like
cutting, picking etc.
Suggestive schedule for pesticide
Preventive application of pesticide
Suggestive Type & Quality of Fertilizer &
micro inputs
Suggestion of Best suitable crop

5. Knowledge Base
• Evapotranspiration Rate ET0 Calculation
• Hargreaves Equation is used (As it needs minimum parameter)
• Estimation of equation constants CH and EH for particular location is done
using fuzzy based method to improve the accuracy.
• Constants CH and EH values are found for the locations.
Solar radiation Ra is considered constant for the given
• location and converted in the unit mm/day.
amean
E
H RTTTCET H
)8.17()( minmax0 

6. Algorithm
Estimation of soil water deficit using water balance approach (Weather
based method)
Dc = Dp + ETC – P - Irr
Where,
Dp = Soil water deficit on the previous day in (mm)
Dc = Soil water deficit today in (mm)
ETc = Crop evapotranspiration rate for current day in (mm)
P = Gross precipitation (rainfall) for the current day in (mm)
Irr = Net irrigation amount for the current day in (mm)

7. Option # 1
Desktop Application
www.krishisense.org
USB MySQL
Database
WSN
Coordinator
Node
WSN
Node
WSN
Node
WSN
Node
WSN
Node
Temperature Humidity
Solar Radiation
Wind Velocity
Working Modality of KrishiSENSE

8. EZ430RF2500 Kit Introduction

9. EZ430RF2500 Kit Introduction

10. EZ430RF2500 Kit Introduction

11. Wireless Sensor Networks
24 April 2014 11

13. Option # 3
Wireless to
GPRS/GSM
Module & Light
Wind Sensors
Desktop Application
www.krishisense.org
MySQL
Database
WSN
Coordinator
Node
WSN
Node
WSN
Node
WSN
Node
Temperature
Humidity
Solar Radiation
Wind Velocity GPRS/GSM
Module
Cellular Network
RE
RE

14. AP EDREED

15. S1
RE2 RE3
RE4 RE6
N7 N10

16. Reference
• http://www.ti.com/product/msp430f2274
• http://www.ti.com/tool/ez430-rf2500
• http://www.ti.com/tool/msp-exp430g2#buy
• http://www.ti.com/lsds/ti/microcontroller/16it_msp430/hardware_and_so
ftware.page?DCMP=MSP430&HQS=Tools+OT+ez430
• http://www.digikey.com/product-search/en/sensors-transducers/ambient-
light-sensors/1966828?k=light%20sensor
• http://www.digikey.com/product-detail/en/HIH-5031-001/480-3284-2-
ND/2061067
• http://www.mysmartprice.com/mobile/micromax-a68-smarty-4.0-
msp2451