Q2 · UPPSC PCS Mains 2023 · GS III · 8 marks · ~125 words in the hall · 2 min read

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Explain the implications of using E-technology to help the farmers.

Topic: Science and technology in daily life. Syllabus: Science and Technology developments and applications in everyday life. Achievements of Indians in science and technology, indigenisation of technology. Same official PYQ from year-wise 2023 and Science and technology in daily life.

Revision summary

E-technology means price, weather, soil, and subsidy tools on a phone or kiosk. e-NAM can widen discovery; advisories cut pest and rain delay; PM-KISAN DBT and PMFBY apps cut leakage. Soil Health Cards and AgriStack can match inputs to the plot. Tenants, women, and offline villages can be excluded; logins can be captured by traders. Implication: faster markets and payments, plus a divide and a data duty.

Model answer

Introduction

E-technology is phones, satellites, and databases used to tell the farmer a price, a weather risk, a soil dose, or a subsidy credit. The implication is not only faster information; it is a new power over markets and data, with a divide for those without a smartphone or a plot map.

Body

Helpful implications

  • e-NAM and other e-trading windows can widen price discovery beyond the local arhatiya, if lots are graded and the farmer can actually bid or see the quote.
  • mKisan, Kisan Suvidha, IMD nowcast, and drone or satellite crop maps cut the delay in pest, rain, and sowing advice.
  • Direct Benefit Transfer on PM-KISAN, crop insurance (PMFBY) enrolment apps, and Kisan Credit Card digital trails reduce leakages in support payments.
  • Soil Health Card data, AgriStack / digital crop survey, and custom-hiring apps can match seed, fertiliser, and machinery to the plot.

Hard implications

  • A phone without cheap data, a vernacular interface, or a literate helper leaves tenant and woman farmers outside the same tools.
  • Intermediaries can capture e-mandi logins; a digital quote does not by itself raise the farm-gate cheque.
  • Plot and biometric data raise privacy and exclusion risks if land records or Aadhaar seeding fail.
  • Precision tools (drones under the Sub-Mission on Agricultural Mechanisation, IoT irrigation) help those who already have capital unless custom-hiring centres share them.

Flow diagram

flowchart TD
  E[E-tech phone satellite] --> P[eNAM price]
  E --> A[Advisory weather pest]
  E --> D[PMKISAN DBT PMFBY]
  E --> S[Soil Health AgriStack]
  P --> H[Farmer gain]
  A --> H
  D --> H
  S --> H
  X[Digital divide data risk] --> H

Conclusion

E-technology helps farmers when it shortens the path from plot to price, advice, and payment. Its implication is also a digital divide and a data risk. Public tools such as e-NAM, PM-KISAN DBT, and Soil Health Cards work only with last-mile literacy, grading, and tenancy recognition.

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