Timeline

  • Period 0 is a pilot from June to Sep 2021 funded by DG unrestricted funds. The goal is to test the data collection and verification platform during the monsoon/kharif season

  • We assume that donor funded work begins Oct 2021 with compilation / synthesis of the data collected during the pilot and continues for 2 years which gives us 2 additional winter (rabi) and monsoon (kharif) seasons; in some regions there is a third “summer” season from mid March to June.

 

Period

0

1

2

3

4

Dates

Jun to Sep 2021

Oct 21 to Mar 22

Apr to Sep 22

Oct 22 to Mar 23

Apr 23 to Sep 23

Objective 1: Drive adoption of practices that reduce yield scale emissions 

Identify districts to target for Rabi 21/22



Technical advisory committee identifies practices that reduce yield scale emissions that can be implemented during rabi season (based on commodities, agro-climatic conditions, weather, etc.)



Estimate GHG emission reduction potential from practice adoption

Collaborate with JEEViKA to produce video advisories for practices for current season



JEEViKA VRPs deliver advisories throughout program area, expect to reach 88,000 farmers (~20% of total reach) 



Expect ~21% practice adoption (based on prior experience) which is ~18,000 farmers and ~3.7k tons of CO2e emission reduction



Identify districts to target for Kharif 22 (take a call on value of AWD suitability tool to inform district selection)



Technical advisory committee identify practices that reduce yield scale emissions that can be implemented during kharif season (based on commodities, agro-climatic conditions, weather, etc.)

Collaborate with JEEViKA to produce video advisories for practices for current season



JEEViKA VRPs deliver advisories throughout program area, expect to reach 122,000 farmers (~24% of total reach) 



Expect ~22% practice adoption which is ~27,000 farmers and ~5.4k tons of CO2e emission reduction



Identify districts to target for Rabi 22/23

Collaborate with JEEViKA to produce video advisories for practices relevant for current season



JEEViKA VRPs deliver advisories throughout program area, expect to reach 161,000 farmers (~29% of total reach) 



Expect ~23% practice adoption which is ~37,000 farmers and ~7.5k tons of CO2e emission reduction



Identify districts to target for Kharif 23



Leverage results from TCI analysis / recommendations to expand library of practices and refine where they can be applied

Collaborate with JEEViKA to produce video advisories for practices relevant for current season



JEEViKA VRPs deliver advisories throughout program area, expect to reach 208,000 farmers (~33% of total reach) 



Expect ~34% practice adoption which is ~50,000 farmers and ~10k tons of CO2e emission reduction



Develop plan future scale of program

Objective 2: Generate credible estimates of emission (and water?) footprint of production practices

Prepare data collection form that captures input required for various climate models



Develop and test data collection and verification protocol with ~250 farmers in Gurua block / Gaya district



Data cleaning and structuring to enable integration with climate models

Run climate models and generate dashboard to visualize results and enable inter-model comparison of GHG emission estimates

 

 

 

Continue model inter-comparison



Generate emission estimates for Rabi 2022 data (~1,600 farmers)

Productize pipelines 



Generate emission estimates for Kharif 2022 data (~5,000 farmers)

Work with model developers to establish local reference values for various regions in Bihar based on data  



Generate emission estimates for Kharif 2022 data (~12,000 farmers)

Objective 3: Enable farmers to share data to realize benefits

User research on data wallet and consent

Use Account Aggregator framework to develop wireframes and get user feedback on data wallet

Refine wireframes and continue to user feedback on data wallet



User research on farmers self reporting data

Build data wallet MVP using practice data captured by VRPs

 

Build data wallet MVP using practice data captured by VRPs

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