1 Generation of cropping system based information on population biology of major insect pests of rice and cotton required for robust model development.

Field cum laboratory studies on field growth rates

Effect of temperature on each life stage of selected insect pests

Cropping system based field studies on population dynamics of target pests

Generation of spectral library for pest specific crop damage using hand held hyper-spectral radiometer

Understanding ITKs on pest forewarning for possible use in model development

2 Development of pest forewarning models and decision support systems in rice and cotton for use at micro and macro level.

Compilation and analysis of historical data sets on pest bio-ecology for all pests including diseases on cotton and rice

Development of pest forewarning models through use of generated key biotic and abiotic parameters and existing database

Using sounder data for meteorological parameters and crop stage identification using optical data for extrapolation of pest prediction models at macro level

Development of decision support systems for rice and cotton

1 Generation of cropping system based information on population biology of major insect pests of rice and cotton required for robust model development.

Field cum laboratory studies on field growth rates

Effect of temperature on each life stage of selected insect pests

Cropping system based field studies on population dynamics of target pests

Generation of spectral library for pest specific crop damage using hand held hyper-spectral radiometer

2 Development of pest forewarning models and decision support systems in rice and cotton for use at micro and macro level.

Compilation and analysis of historical data sets on pest bio-ecology for all pests including diseases on cotton and rice

Development of pest forewarning models through use of generated key biotic and abiotic parameters and existing database

Using sounder data for meteorological parameters and crop stage identification using optical data for extrapolation of pest prediction models at macro level

Development of decision support systems for rice and cotton

1 Generation of cropping system based information on population biology of major insect pests of rice and cotton required for robust model development.

Field cum laboratory studies on field growth rates

Effect of temperature on each life stage of selected insect pests

Cropping system based field studies on population dynamics of target pests

Generation of spectral library for pest specific crop damage using hand held hyper-spectral radiometer

2 Development of pest forewarning models and decision support systems in rice and cotton for use at micro and macro level.

Compilation and analysis of historical data sets on pest bio-ecology for all pests including diseases on cotton and rice

Development of pest forewarning models through use of generated key biotic and abiotic parameters and existing database

Using sounder data for meteorological parameters and crop stage identification using optical data for extrapolation of pest prediction models at macro level

Development of decision support systems for rice and cotton

1 Generation of cropping system based information on population biology of major insect pests of rice and cotton required for robust model development.

Cropping system based field studies on population dynamics of target pests

Understanding ITKs on pest forewarning for possible use in model development

2 Development of pest forewarning models and decision support systems in rice and cotton for use at micro and macro level.

Compilation and analysis of historical data sets on pest bio-ecology for all pests including diseases on cotton and rice

Development of pest forewarning models through use of generated key biotic and abiotic parameters and existing database

Using sounder data for meteorological parameters and crop stage identification using optical data for extrapolation of pest prediction models at macro level

Development of decision support systems for rice and cotton

Development of pest forewarning models and decision support systems in rice and cotton for use at micro and macro level

Using sounder data for meteorological parameters and crop stage identification using optical data for extrapolation of pest prediction models at macro level

Development of decision support systems for rice and cotton