Transcript Document

IT Based Farmers’ Window
for Panel Discussion
National Workshop on
Role of Information Communication Technology in
Taking Scientific Knowledge/Technologies
to the End Users
January 10-11, 2005
Dr. N. Kalra
Unit of Simulation and Informatics
Indian Agricultural Research Institute
New Delhi 110012
Mandates of newly formed USI at IARI
• To generate and collate data to develop
simulation models on crop growth, input
management, pest dynamics and yield
prediction.
• To provide internet connectivity, maintain
dynamic web site, farmer’s advisory service,
tele-conferencing and e-mail services to IARI.
• To develop database on pedigree management
of wheat, maize, rice, chickpea and mung.
• To develop statistical packages for field data
analysis, matrix comparison and variability
analysis as applicable to Molecular Markers
Assisted Systems/Selection and Molecular
Biology.
Large variability in bio-physical and socioeconomic inputs, smaller land holdings and
intensive cultivation, diverse cropping systems
Traditional extension cannot cope
with the demand
Information Technology
may help
To develop simulation models for yield
estimates under various biotic and
abiotic stresses.
Activity 1: To develop/test simple agri-simulation
models and decision support systems for assessing
the productivity of crops under various stresses
and suggest optimal inputs for sustained
productivity of major crops.
Activity 2: To devise methodology for forecast of
regional agri-production by conventional and
simulation tools.
Pest Informatics (Rice, wheat, maize, cotton, chick
pea and sugarcane)
Characterization of important pest problems in
agriculture in different agro-ecological zones.
Documentation of changes in pest scenario of crops
Delineation of hot spots and linkage with biotic and
abiotic stresses
Compilation of pest management options
Simulation of crop-pest interactions
In c id e n c e le v e l
DSS for integrated pest management
4
3
2
1
1980
1990
2000
Y ear
s h o o tf ly
a p h id s
b r o w n mite
p in kb o r e r
Pest situation for wheat in Punjab
Simulation of Yield Losses due to
Multiple Pests (INFOCROP)
Temperature,
radiation
crop, water,
nitrogen
Pests
Injuries
Crop
Growth
Model
Crop growth
model coupled
with
damage
mechanisms
Yield of
control
crop
Yield
loss
Yield of
infected
crop
Development of soil data-base for land
use planning
Primary soil characters
Moisture retention, release and transmission
characteristics
Soil fertility evaluation and trends
Organic carbon budget, its dynamics and
sequestration potential
35
y = - 0.0023 *x2 + 0.4 * x + 4.8, R2 = 0.52
Available w ate r
(cm / m of soil)
30
25
20
15
10
5
0
0
10
20
30
40
50
60
70
80
90
100
Available nitr oge n
(k g/ha)
SiCl (%)
500
y = - 108.8*x2 + 438.2*x + 32.1, R2 = 0.78
400
300
200
100
0
0.0
0.3
0.6
0.9
1.2
1.5
Organic carbon (%)
Pedo transfer functions
Organic content status of Indian soils