AgricultureScience & Technology
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Digital Agriculture Mission (₹2,817 Cr) & Bharat-VISTAAR AI Tool Launched for 7.63 Cr Farmers

Target:MPSCUPSC GS-IIISSC GATeachingPrelims HighMains MediumStatic GK Link
23 Mar 2026
~2 min
Source: Indian Express
Key Data:₹2,817 crore7.63 crore Farmer IDs1.93 crore Women Farmer IDs25-30% yield increase3.88 crore farmers reached
Bodies:MicrosoftOxford UniversityAgriculture Development Trust (ADT) BaramatiBAIF Development Research FoundationIndian Council of Agricultural Research (ICAR)World Economic Forum
Practice MCQs from today's news ▸
What This Article Covers

1.AI applications in Indian agriculture include soil nutrient analysis via satellite, pest detection via drones, livestock monitoring via smart collars, and AI-powered advisory tools like Kisan e-Mitra.

2.The government's Digital Agriculture Mission (2024) with AgriStack and the proposed Bharat-VISTAAR AI tool aim to integrate data for customised farmer support, with 7.63 crore Farmer IDs generated.

3.Challenges include fragmented data, limited digital infrastructure, affordability, and the need for human verification of AI outputs due to potential inaccuracies impacting harvests.

The Big Picture
Prelims · HighMains · Medium

AI integration in Indian agriculture is transitioning from pilots to structured policy. Key initiatives include the Digital Agriculture Mission (2024) with AgriStack and a new AI tool, Bharat-VISTAAR, announced in Budget 2026-27. These aim to provide data-driven advisories on soil, crops, livestock, and insurance, impacting over 1.8 million farmers already.

Exam Lens

Quick Exam Facts From News

Digital Agriculture Mission Outlay₹2,817 crore
AgriStack Farmer IDs Generated7.63 crore (Target: 11 crore by 2026-27)
Women Farmer IDs Generated1.93 crore
AI Sugarcane Yield Increase25-30% (Maharashtra pilot)
Farmers Reached by AI Monsoon Forecast3.88 crore (13 states, Kharif 2025)

1-Minute Revision

  • ›Digital Agriculture Mission Outlay: ₹2,817 crore
  • ›AgriStack Farmer IDs Generated: 7.63 crore (Target: 11 crore by 2026-27)
  • ›Target this Data: Digital Agriculture Mission outlay of ₹2,817 crore (launched 2024).
  • ›Target this Nodal Body: Indian Council of Agricultural Research (ICAR) - data to be integrated with Bharat-VISTAAR.
  • ›Target this Scheme: AgriStack - digital identity system for farmers with 7.63 crore IDs generated.

Mastered this topic? Test your knowledge with a full MCQ quiz.

Practice exam-style questions, track your score, and strengthen your recall.

Q1Static LinkageEasy

The proposed Bharat-VISTAAR AI tool aims to integrate data from AgriStack and which of the following national research bodies?

Q2Statement-basedHard

Consider the following statements regarding AI in Indian agriculture:

1. The AI-based pilot for local monsoon onset forecasting during Kharif 2025 reached farmers via SMS.

2. The Digital Agriculture Mission was launched in 2024 with an outlay of over ₹3,000 crore.

3. Kisan e-Mitra, an AI-powered chatbot, operates in over 20 regional languages.

Which of the statements given above is/are correct?

Q3Data-centricMedium

As of November last year, how many Farmer IDs had been generated under the AgriStack initiative against a target of 11 crore by 2026-27?

Q4Application/ImpactMedium

What is a primary challenge identified for the scaling of AI solutions in Indian agriculture, as per the government's AI Playbook for Agriculture?

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