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Answered a very similar question
Their question: “Post-harvest losses (Rs 1,52,790 cr) from transport/marketing constraints (15m)”
Aniket's Q13 quantifies post-harvest losses caused by transport and marketing bottlenecks with remedies, exactly 2020 Q4's constraints in transport and marketing of agricultural produce.
Key learnings from their answer
- ›His value-additions were quantified and case-specific, not vague: the Rs 1,52,790 cr post-harvest loss figure (Q13), the NPK 1:4:6 fertiliser skew toward urea (Q14), and a named micro case study, the Katihar (Bihar) farmer who lost Rs 5 lakh to a digital-arrest scam (Q11). -> Memorise a few exact figures and one concrete named case per theme; a single precise number or real victim beats a paragraph of generic assertion.
- ›On agriculture questions he consistently named the relevant committees as authority, Dalwai/Mehta Committee and Shanta Kumar Committee on doubling farmer income (Q4, Q13, Q14), and reports like Economic Survey 2024-25 and IPCC Sixth Assessment Report (Q12, Q16-17). -> Keep a topic-mapped stock of committee + report names so every analytical claim can be backed by a recognised source, the cheapest way to add depth under time pressure.
What they cited: Environment/agri data: Rs 1,52,790 cr post-harvest losses; NPK 1:4:6 skew toward urea; Vidarbha farmer suicides; Punjab/Haryana monocropping; agriculture ~27% of GDP; Katihar (Bihar) farmer lost Rs 5 lakh to a digital-arrest scam (Q13, Q14, Q11); GRIHA & LEED buildings, Miyawaki forestry, Nagar Van, recirculatory aquaculture (Q18)