Prepared By:

Pankaj Khodifad(09BEC027)

Guided By:

Prof. Sachin Gajjar and Prof. Nirav Modi

(Electronics and Communication department)

Major Project

Institute of Technology

Outline

• Introduction

• Knowledge Base Agriculture System

• KrishiSENSE

• EZ430RF2500 Kit

• Demo

• Reference

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

FIELD IRRIGATION MODULE Type & 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

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

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)

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

EZ430RF2500 Kit Introduction

EZ430RF2500 Kit Introduction

EZ430RF2500 Kit Introduction

Wireless Sensor Networks

24 April 2014 11

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

AP ED RE ED

S1

RE2 RE3

RE4 RE6

N7 N10

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_software.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