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IISc GRAMA Project Aims for 70-80% Farmer Revenue Increase via AI-Driven Crop Planning

AgricultureScience & TechPolitySUPPORT
Target:UPSC GS-IIIMPSCTeachingSSC GAPrelims HighMains HighStatic GK Link
13 Feb 2026
~2 min
Source: Indian Express
Key Data:2026-02-1470-80%90%31 districts150 days
Bodies:IIScNABARDIndia Meteorological DepartmentLand Optimiser InternationalMIT
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What This Article Covers

1.IISc Professor Yadati Narahari reveals nearly 90% of agricultural mobile apps fail due to high bandwidth needs, poor usability, and lack of farmer-centric design.

2.The GRAMA project (Game theory, Randomness, AI, ML, Agriculture) offers a framework for data-driven crop planning, price prediction, and advisories, potentially increasing farmer revenues by 70-80%.

3.Key challenges include low tech adoption due to farmer anxieties over credit/insurance, reluctance to share data, and the inapplicability of global AI models (like GPT-5) to Indian agricultural conditions.

The Big Picture
Prelims · HighMains · High

An IISc expert highlights the high failure rate (90%) of mobile apps for farmers due to poor design and low bandwidth. He proposes the GRAMA project as a data-driven solution using AI, game theory, and machine learning for crop planning, price prediction, and advisory services to boost farmer revenues by 70-80%. This is critical for GS Paper III (Agriculture, Science & Tech).

Exam Lens

Quick Exam Facts From News

Failure Rate of Farmer AppsNearly 90%
Potential Revenue Increase (GRAMA)70-80%
Accuracy of Current Price Models75-80%
Target Accuracy (GRAMA)Close to 90%
Paddy Crop Lifecycle150 days

1-Minute Revision

  • ›Failure Rate of Farmer Apps: Nearly 90%
  • ›Potential Revenue Increase (GRAMA): 70-80%
  • ›Target this Data: Nearly 90% of agricultural mobile apps fail.
  • ›Target this Nodal Body: Indian Institute of Science (IISc), Bengaluru.
  • ›Target this Scheme/Project: GRAMA Project (Game theory, Randomness, AI, ML, Agriculture).

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

Q1Static LinkageEasy

The GRAMA project, discussed in the news, originated from work initiated with which apex development bank?

Q2Statement-basedHard

Consider the following statements regarding challenges in agricultural technology adoption in India, as per the news article:

1. Farmers are primarily concerned with immediate issues of credit, subsidies, and insurance, which hinders tech adoption.

2. Global Large Language Models (LLMs) like GPT-5 are highly recommended for providing direct advisories to Indian farmers.

3. A major challenge is the reluctance of organizations and individuals to share agricultural data.

Which of the statements given above is/are correct?

Q3Data-centricMedium

According to Professor Yadati Narahari, what is the approximate failure rate of mobile applications developed to assist Indian farmers?

Q4Application/ImpactMedium

What is a primary objective of the 'carbon farming' concept mentioned in the article?

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