FYI
From: Yugal Verma [mailto:yugal.verma@nabard.org
Sent: 11 March 2026 11:38
To: hcp@recruitguru.com
Cc: CRA Innovation Challenge <cra_innovationchallenge@
Subject: Re: National Climate Stack Innovation Challenge
Dear Shri Parekh,
Thank you for your email and for sharing your insightful ideas and past work on climate-resilient agriculture and digital public infrastructure.
Your suggestions on satellite - ground truth integration, AI-based hazard forecasting, climate-linked incentives, and open agri-climate data are very relevant to the objectives of the National Climate Stack Innovation Challenge.
We will share your inputs with the Core Team.
Warm regards,
Yugal Verma
Project Manager
Department of Climate Action and Sustainability
National Bank for Agriculture and Rural Development (NABARD)
From: Department of Climate Action and Sustainability (DCAS) <dcas@nabard.org>
Sent: 07 March 2026 23:51
To: CRA Innovation Challenge <cra_innovationchallenge@
Cc: Yugal Verma <yugal.verma@nabard.org>
Subject: Fw: National Climate Stack Innovation Challenge
From: Chairman <Chairman@nabard.org>
Sent: 07 March 2026 22:29
To: Department of Climate Action and Sustainability (DCAS) <dcas@nabard.org>
Cc: DMD GSR Sectt <dmdgsr.sectt@nabard.org>
Subject: Fw: National Climate Stack Innovation Challenge
From: Hemen Parekh <hcp@recruitguru.com>
Sent: Saturday, March 7, 2026 8:44 PM
To: Cabinet 2024 <cabinet24@recruitguru.com>; ChiefMinisters2024 <ChiefMinisters24@recruitguru.
Cc: kokalkishan.official@
Subject: National Climate Stack Innovation Challenge
CAUTION: This email originated from outside the organization. Do not click links or open attachments unless you recognize the sender and know the content is safe. |
National Climate Stack Innovation Challenge
==============================
1️⃣ Space Layer – Satellite Intelligence
· Earth observation satellites
· Weather satellites
· Remote sensing imagery
· Soil moisture and crop monitoring
·
Examples: Planet, BlackSky, ISRO satellites.
2️⃣ Ground Truth Layer – Sensors & Surveys
· IoT soil sensors
· Automatic weather stations
· Digital Crop Survey handheld devices
· Drone imagery
· Field officer inputs
3️⃣ Data Integration Layer – Climate Stack Platform
This is the core Digital Public Infrastructure (DPI).
Functions include:
· Data lake for climate datasets
· GIS integration
· API access for startups
· Interoperability between ministries
4️⃣ AI Intelligence Layer
AI models generate:
· rainfall anomaly predictions
· flood probability maps
· heatwave alerts
· crop yield forecasting
· market price forecasts
This layer turns raw data into actionable intelligence.
5️⃣ Decision Layer – Last Mile Impact
Outputs reach:
Farmers (mobile alerts & advisories)
Government dashboards
Insurance triggers
DBT compensation systems
MSP policy inputs
“The National Climate Stack: Converting satellite data, field sensors and
AI models into real-time climate intelligence for farmers, policymakers
and rural institutions.”
==============================
Dear Shri K V Shaji ji,
Chairman, NABARD [ Chairman@nabard.org ]
Subject:
National Climate Stack Innovation Challenge – My Past Suggestions & Further Ideas for Your Consideration
Namaskar.
I read with great interest the news about NABARD's National Climate Stack Innovation Challenge (in collaboration with the Gates Foundation and Dalberg Advisors), with its inspiring vision of unifying fragmented climate datasets into an interoperable, decision-ready intelligence platform for rural India.
Your own words resonated deeply with me:
"The challenge is that these datasets sit in isolated websites... this challenge is an effort to bring the best minds to come forward and help us develop a solution which brings all these data streams together in a seamless manner."
I believe, with respect, that I may have been articulating precisely this problem — and proposing technology-based solutions — for several years now.
I humbly invite you to examine the following past writings of mine, which I feel are directly relevant to the Climate Stack initiative:
──────────────────────────────
PAST SUGGESTIONS — FOR YOUR KIND PERUSAL
──────────────────────────────
1. Beyond Freebies – Cultivating Resilience ( 02 Oct 2025 )
https://myblogepage.blogspot.
→ Argues for building structural, tech-enabled climate resilience for farmers rather than relying on ad-hoc relief.
2. Data Collected Under Digital Crop Survey (30 June 2025)
https://myblogepage.blogspot.
→ Discusses integrating satellite imagery, remote sensing, and ground-truth hybrid models for accurate, real-time crop and climate data — precisely the kind of data layer the Climate Stack needs.
3. Influence Farmers and Win Votes …………….(04 Feb 2019)
https://myblogepage.blogspot.
→ As far back as 2019, I urged the use of sensor data, satellite imagery (Planet, BlackSky), and statistical models to build an autonomous agricultural data ecosystem enabling Direct Benefit Transfers (DBT) with minimal delays.
4. e-NAM Reimagined to Resolve Farmer Woes (10 Dec 2020)
https://myblogepage.blogspot.
→ Proposed AI-driven recommendation engines for crop price forecasting, demand trends, and market intelligence — a natural overlay on top of the Climate Stack's hazard forecasting layer.
5. Congratulations for This Potentially Game-Changing Initiative (24 Feb 2020)
https://mylinkedinposting.
→ Endorsed interoperable digital agricultural platforms and data democratization for farmer empowerment.
6. Dear Shri Tomarji – This Is Your Chance (18 Oct 2023)
https://emailothers.blogspot.
→ Called for a unified, AI-powered agri-data infrastructure — directly aligned with the Climate Stack's vision of a Digital Public Infrastructure (DPI) layer.
7. How About Introducing PLI for Agriculture? …………..(08 Dec 2020)
https://myblogepage.blogspot.
→ Proposed production-linked incentives to encourage private technology investment in agri-climate data platforms.
8. Selling Farm Laws Before Selling Farm Laws ………………(24 Sept 2020)
https://myblogepage.blogspot.
→ Highlighted the critical role of digital transparency and farmer-accessible data in building trust and adoption.
9. Production Linked Incentive for Rice …………………………………….(08 Dec 2020)
https://myblogepage.blogspot.
→ Crop-specific climate and yield modelling that could be incorporated into the Climate Stack's forecasting dashboards.
10. Thank You Shri Tomarji……………………………………………………………
https://myblogepage.blogspot.
→ Acknowledged early progress on agri-data and urged continuation of an integrated, tech-first approach.
11. MSP – Give and Take Compromise…………………………………………….. (01 April 2025)
https://myblogepage.blogspot.
→ Climate-linked MSP adjustments, proposing that forward-looking climate hazard forecasts should dynamically inform support price decisions.
12. My Agriculture-Related Blogs …………………………….(Compiled up to 02 Jan 2025)
https://myblogepage.blogspot.
→ A consolidated index of my agri-technology suggestions spanning over six years — offered as a ready reference.
──────────────────────────────
FURTHER SUGGESTIONS:
INTEGRATING MY IDEAS INTO THE CLIMATE STACK
──────────────────────────────
Building on the above, I would like to humbly offer the following integration ideas for the Climate Stack:
A) SATELLITE + GROUND-TRUTH FUSION LAYER
The Digital Crop Survey data (discussed in Blog #2 above) — combining remote sensing from Planet/BlackSky-type satellites with field-level handheld device inputs — could serve as the foundational geo-spatial data layer of the Climate Stack, feeding real-time hazard models with verified, plot-level ground truth.
B) AI-POWERED NEAR-TERM HAZARD FORECASTING MODULE
Drawing from my e-NAM Reimagined blog (#4), AI-driven forecasting engines could be built not just for price discovery but for climate hazard prediction at the block/district level — rainfall anomalies, heatwave probabilities, flood inundation risk — all accessible to farmers via a simple mobile dashboard.
C) CLIMATE-LINKED MSP / DBT TRIGGER MECHANISM
As argued in Blog #11, the Climate Stack's hazard forecasts could be directly wired to automated DBT disbursements and MSP adjustments — ensuring that farmers receive compensatory support before a hazard fully materialises, not after.
D) OPEN DATA + MONETIZATION FRAMEWORK
The Climate Stack should incorporate an open data governance layer — allowing agritech start-ups, insurers, commodity exchanges, and researchers to access climate intelligence APIs — turning DiCRA from a passive repository into an active Digital Public Infrastructure (DPI), as I have consistently urged.
E) PLI FOR CLIMATE AGRITECH
A Production Linked Incentive scheme specifically for Indian start-ups building interoperable climate intelligence modules (forecasting, crop advisory, insurance triggers) could rapidly accelerate the private ecosystem around the Climate Stack.
──────────────────────────────
Sir,
I am aware that you and your distinguished colleagues are working with the finest scientific minds and institutional partners.
I make these suggestions not with any expectation of recognition, but simply in the hope that a perspective developed through years of citizen engagement with this problem might add a small measure of value to your noble initiative.
I wish the National Climate Stack Innovation Challenge every success. Rural India's climate resilience depends on exactly the kind of forward-looking, data-driven thinking that NABARD is championing.
With warm regards and deep respect,
Hemen Parekh
www.hemenparekh.ai / www.IndiaAGI.ai / www.My-Teacher.in / www.YourContentCreator.in / 07 March 2026
Mumbai
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