Survey and surveillance for major insect pests,
diseases and natural enemies in cotton cultivated under different
cropping system i.e. mono-cropping, mixed cropping, inter cropping
or High Density Plantation System (HDPS) is to be carried out at
At each centre 18 intensively cotton growing villages
are to be randomly selected from two districts. In the next year 50%
of the villages will be new villages.
Before the crop season, baseline information will be collected from
each village from the cotton growing farmers
to know the resource endowments and the level
of crop productivity.
IPM technology will be disseminated through group
meetings/ farmersí trainings/print media and at least 60-70 farmers
per village will be registered for issue of the advisories through
At each centre the pest activity will be recorded by
six Field Assistants (three villages/ field assistant) by selecting
two fixed fields in each village. The data sheets from Field
Assistants will be collected by SRF and after verification, the data
will be handed over to DEO for upload the data and should also
ensure uploading of data at appropriate website.
Once in a week, centre PI along with SRF will conduct
survey in the villages not covered under the fixed villages for the
pest satiation or any pest reported by the farmers.
Fortnightly the pest information will be passed to
State Agricultural Department/SAU for further action.
At weekly interval, based on prevailing pest scenario
in the area, location specific advisory will be issued on the
website and also sent to the registered farmers through SMS. Other
media such as village board, flag etc will also be utilized for
issue of the advisory at village level. The advisory will be
regularly viewed by planners as well as Ext4ension Personnel from
Central/ State Agricultural Department.
Samples of pink bollworm larvae will be regularly
collected from all the centres for monitoring resistance.
Collected pest data from different centers will be
used for statistical analysis, identification of hot spots and
weather correlation studies by CRIDA and IARI.