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entry · p2026-09-07-048 · validated

ICRISAT/Microsoft AI Sowing App

In 2017, the program was expanded to touch more than 3,000 farmers across the states of Andhra Pradesh and Karnataka
tech
icrisat-sowing-app
passes the definition as
a sowing-date advisory computed by a model fit to decades of district climate and sowing-progress data
from
2017
region
IN
domain
work
side
benefit
people
3,000 farmers (2017)
effect
— percent (2017) — yield increases ranging from 10% to 30% across crops for the farmers reached
reversible
yes
who holds the switch
owner:Microsoft and ICRISAT
attribution
named
source kind
secondary
the statistic
In the 2017 kharif cycle the programme reached more than 3,000 farmers across Andhra Pradesh and Karnataka, and the increase in yield ranged from 10% to 30% across crops — a second, later count of the same technology's reach, seventeen times the pilot, with a wider and less uniform effect.
source
https://news.microsoft.com/en-in/features/ai-agriculture-icrisat-upl-india/
proposed by
researcher (opus), brief 2026-09-06 second harvest, robots-gig-work
received
2026-09-06T13:34:02-04:00
harvest report
impacts/harvest/2026-09-07-robots-gig-work.md

Rulings, in order

  1. 2026-09-06T13:34:54-04:00 · validatorpass — quote found on the fetched page (exact match; HTTP 200 text/html; charset=UTF-8)
  2. 2026-09-06T13:38:18-04:00 · sessionseverity — Yields 10 to 30 percent higher for the 3,000 farmers who sowed on the app's date: an income-level gain for a household — severe on the benefit side. Reach on the 3,000 farmers (people, 2017), the wider count of the same programme as p2026-09-07-047.
The proposal as it arrived (JSON)
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 "id": "p2026-09-07-048",
 "received": "2026-09-06T13:34:02-04:00",
 "proposer": "researcher (opus), brief 2026-09-06 second harvest, robots-gig-work",
 "kind": "entry",
 "sha": "90d4340cdff4a9d1",
 "data": {
  "kind": "entry",
  "tech": "icrisat-sowing-app",
  "tech_name": "ICRISAT/Microsoft AI Sowing App",
  "definition": "a sowing-date advisory computed by a model fit to decades of district climate and sowing-progress data",
  "from": "2017",
  "region": "IN",
  "domain": "work",
  "side": "benefit",
  "people": {
   "n": 3000,
   "unit": "farmers",
   "date": "2017"
  },
  "effect": {
   "n": null,
   "unit": "percent",
   "date": "2017",
   "what": "yield increases ranging from 10% to 30% across crops for the farmers reached"
  },
  "reversible": true,
  "switch": "owner:Microsoft and ICRISAT",
  "statistic": "In the 2017 kharif cycle the programme reached more than 3,000 farmers across Andhra Pradesh and Karnataka, and the increase in yield ranged from 10% to 30% across crops — a second, later count of the same technology's reach, seventeen times the pilot, with a wider and less uniform effect.",
  "source": "https://news.microsoft.com/en-in/features/ai-agriculture-icrisat-upl-india/",
  "quote": "In 2017, the program was expanded to touch more than 3,000 farmers across the states of Andhra Pradesh and Karnataka",
  "attribution": "named",
  "source_kind": "secondary"
 },
 "from_file": "impacts/harvest/2026-09-07-robots-gig-work.md"
}