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Passage

India is starting to deploy AI for critical use cases such as weather forecasting, pest detection and control, and crop yield optimisation. However, penetration is limited to a small subset of tech-savvy farmers. In the US and in Europe, generative AI tools have started offering precision farming at scale, integrating large datasets to provide real-time agronomic insights. For at-scale integration and accessibility of AI tools in India, it would be helpful to develop Indian languages-based AI tools for smallholder farmers, partner with AgTechs to create affordable AI solutions, and disseminate AI-based advisory services through government programmes.
QUESTION

CSAT

Medium

Comprehension

Prelims 2026

Which of the following statements is/are not correct?

  1. Tech-savvy farmers will drive the AgTech companies of the future.
  2. The development of advisory services by the government programmes for the use of AI tools in agriculture would be helpful.
  3. In the US and Europe, AI tools have replaced traditional agricultural practices.
  4. The integration of large datasets for use in real-time agronomic analysis is already a reality.

Select the answer using the code given below.

Select an option to attempt

Explanation

Based on the logical analysis of the statements in the context of artificial intelligence and agriculture:

  1. Statement 1 is incorrect: In the context of agricultural technology, it is typically the innovations and advancements by AgTech companies that drive the transformation of agriculture and empower farmers (making them tech-savvy), rather than the farmers driving the AgTech companies. The statement reverses the general cause-and-effect relationship highlighted in such contexts.
  2. Statement 2 is correct: The development of government advisory services to train and assist farmers in using AI tools is a highly practical and positive step toward agricultural modernization.
  3. Statement 3 is incorrect: This is an extreme statement. Even in developed regions like the US and Europe, AI tools and precision agriculture augment and assist traditional agricultural practices to improve efficiency and yield; they have not completely replaced traditional farming practices.
  4. Statement 4 is correct: The integration of large datasets (Big Data) for real-time agronomic analysis (such as weather forecasting, soil health monitoring, and crop predictive analytics) is already a reality in modern precision agriculture.

Since the question asks for the statements that are not correct, the correct combination is 1 and 3.

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