Page Comparison

Content Identification and Dissemination

• Content on key practices (N optimization and timely planting) reaches [200]k farmers

• Target advisories based on highest potential for impact based on CIMMYT LDS analytics

• Contents identified for rice and wheat advisories.  (2 for rice and 4 for wheat)

• 5 generic video content on concept of CSA is created

• Video dissemination for Kharif 2021 affected because of late buy in from JEEViKA, targeting dissemination during Rabi 2021 session (50K)

Data Collection

• Lean data approach for kharif season

• Operationalize water balance monitoring

• Standards intercomparison

• Data points for rice data collection revised (PADDY 2022 Survey data points) on the basis of requirement for Regrow’s DNDC model

• 3 forms developed for rice and deployed in field for data collection

• Soil hydrology related data points included in the forms

• Dashboard to track data progress is created https://dashboard.digitalgreen.org/frames

• Target for Rice 2022 data collection 5K farmers, Wheat 2022 data collection 14K farmers

Data Wallet

• Scorecard 2.0; use kharif data as entry point for timely rice planting advisory

• Farmer scorecard V2 created

• V2 include advisory part along with comparison with peer

• https://frame.digitalgreen.org/paddy_2021/en (Rice, Sample phone numbers: 8228889787, 9771731254)

• https://frame.digitalgreen.org/wheat_2021/en (Wheat, Sample phone numbers: 6299971201, 7541852526)

Ecosystem

• Enabling environment in Bihar; transition pathways (ZT service economy, pilot driving demand through incentives)

• Initial discussion on replication plan

• Go ahead from JEEViKA to upscale the project interventions in 11 districts

• Presented FRAME project at a CSO consortium in Bihar

• Meetings held with BISA and Bihar Agriculture University and cross learning from their CRA project and FRAME project

Emission Estimates

• Gameplan for DNDC

• V1 intercomparison: DNDC not parameterized for soil hydrology, DNDC with hydrology, CFT, N-balance

• What’s the output and intended outcome of this intercomparison? Use tier 3 models to generate a tier 2 equation

• Data analysis with Regrow’s DNDC model and CFT(CFT GHG Output) is done for khariff 2021 farmer data (https://docs.google.com/spreadsheets/d/1GLnLoIQaE0dsiOd35vciSdN6_aQTDg3Yn3KTZ5N2rJE/edit#gid=888151664 )

• CSISA postdoc working on model intercomparison