Introduction

India's agriculture sector — which employs ~46% of the workforce and contributes ~17% of GDP — has historically been characterised by low productivity, high input costs, fragmented landholdings, and information asymmetry. Agritech (agricultural technology) and precision agriculture aim to bridge these gaps using data, sensors, AI, drones, and digital infrastructure. The Union Cabinet's approval of the Digital Agriculture Mission in September 2024 marked the most significant policy push towards tech-led agricultural transformation in India's history.

1. Precision Agriculture — Core Concept

Precision Agriculture (Precision Farming) is a data-driven, technology-enabled approach that uses site-specific information to optimise inputs (seeds, water, fertilisers, pesticides) based on actual crop needs at a particular location.

Technology Stack

Technology Application in Agriculture
IoT sensors Soil moisture sensors, weather stations, crop growth monitoring; real-time data collection in fields
GPS / GIS Geo-referenced mapping of field variability; variable-rate application of inputs
Drones (UAVs) Aerial imaging, NDVI crop health mapping, precision spraying of pesticides/fertilisers
AI / Machine Learning Crop disease prediction from satellite/drone imagery, yield forecasting, advisory services
Satellite Remote Sensing Crop area mapping, drought monitoring, flood damage assessment
Soil sensors Real-time pH, nitrogen, phosphorus, potassium (NPK) measurement
Variable Rate Technology (VRT) Machines that apply different amounts of inputs based on geo-referenced prescription maps

Benefits of Precision Agriculture

  • Reduces input overuse (fertiliser, water, pesticide) by applying the right amount at the right place and time
  • Increases crop yields and resource use efficiency
  • Reduces environmental pollution from excess agrochemicals
  • Enables data-driven crop insurance and credit
  • Reduces farmer decision-making uncertainty through AI advisory

2. Digital Agriculture Mission (DAM) — September 2024

The Union Cabinet approved the Digital Agriculture Mission on 2 September 2024 with an outlay of ₹2,817 crore (central share: ₹1,940 crore; state share: ₹877 crore). The nodal ministry is the Ministry of Agriculture and Farmers' Welfare.

Key Components

Component Description
AgriStack (Farmer Digital Identity) Unique Farmer ID linked to land records, crops, livestock, scheme benefits; 11 crore farmer IDs targeted by FY 2026-27
Krishi Decision Support System (Krishi DSS) Geospatial intelligence platform integrating remote sensing with crop, soil, weather, and water data; enables crop mapping, yield assessment, disaster monitoring
Digital Crop Survey (DCS) Geo-fenced, GPS-verified crop sowing data collected via smartphones; replaces manual patwari surveys
Unified Farmers Service Interface (UFSI) API-based open platform for agri services (credit, insurance, advisory, input supply) to connect with Farmer ID

Progress (as of February 2026): Over 84 million (8.4 crore) Farmer IDs generated under the Digital Agriculture Mission.

3. AgriStack — India's Agricultural DPI

AgriStack is India's Digital Public Infrastructure (DPI) for agriculture — analogous to how Aadhaar is DPI for identity and UPI is DPI for payments.

Feature Details
Farmer ID Unique digital identity akin to Aadhaar; links land records, crops sown, livestock ownership, scheme entitlements
Target 11 crore farmer IDs by FY 2026-27
Land records integration Links to Digital India Land Records Modernisation Programme (DILRMP) — over 90% of states have computerised Records of Rights (RoR)
PM-KISAN linkage Farmer ID linked to PM-KISAN scheme; direct benefit transfer (DBT) validated via Farmer ID to eliminate ghost beneficiaries
Open API architecture Private agri-fintech, insurance companies, crop advisory platforms can build services on top of AgriStack

Why AgriStack matters: India's smallholder farming structure (average farm size ~1.08 ha) means farmers lack collateral and credit history. Farmer ID + crop data + land record creates a verifiable digital farming profile for precision credit, insurance, and advisory.

4. Drones in Agriculture

Namo Drone Didi Scheme

Feature Details
Launched March 2024
Target 15,000 women Self-Help Groups (SHGs) to receive agricultural drones
Timeline FY 2023-24 to FY 2025-26
Budget ₹500 crore under Union Budget 2024-25
Purpose Women SHGs provide drone rental services to farmers for spraying pesticides/fertilisers, crop monitoring

Other Drone Uses in Agriculture

  • NDVI (Normalised Difference Vegetation Index) mapping: Drone multispectral cameras identify crop health stress zones before visible symptoms appear
  • Precision spraying: Drones spray 10x faster than manual spraying with 30–50% less chemical use (reduced drift, targeted delivery)
  • Seed sowing: Drone seeding in paddy fields reduces labour; being piloted in Odisha and West Bengal
  • Soil mapping: Hyperspectral drone surveys for soil organic carbon and moisture mapping

5. AI in Agriculture — Advisory Services

Platform / Initiative Details
Kisan e-Mitra AI chatbot under Digital Agriculture Mission; multilingual crop advisory; answers farmer queries via natural language processing
Krishi AI (ICAR) AI tools for crop disease identification from smartphone photos; pest prediction models
FASAL AI-based crop acreage and production forecast system (Ministry of Agriculture); uses satellite data + ML
Weather-based crop advisory IMD + ICAR joint GKMS (Gramin Krishi Mausam Sewa) — block-level weather forecasts for 12.5 million farmers; AI-enhanced crop-specific advisories

6. e-NAM — Digital Market Linkage

The National Agriculture Market (e-NAM) is an online trading platform connecting APMC mandis across India.

Feature Details
Launched April 2016
Ministry Ministry of Agriculture and Farmers' Welfare (via SFAC)
Coverage Over 1,389 mandis across 23 states + 4 UTs (as of 2024)
Functionality Online bidding, price discovery, digital payment to farmers, quality assaying
Challenge Many farmers still depend on local mandis; limited access for small farmers without smartphones or digital literacy
Integration with AgriStack Farmer ID linkage to e-NAM account being implemented for seamless trading history and credit profiling

7. Soil Health — Digital Tools

  • Soil Health Card (SHC) Scheme (2015): 23+ crore cards distributed; tests 14 parameters (NPK, pH, organic carbon, secondary and micronutrients, EC, salinity); now being digitised with geo-tagged soil test results
  • mKisan portal: Farmer-level SMS-based crop and weather advisories linked to soil health data
  • Real-time soil sensors (IoT): Being piloted in precision farming projects; ICAR-developed electrochemical sensors for field-level N-P-K measurement

Exam Strategy

For Prelims:

  • Digital Agriculture Mission approved: 2 September 2024; outlay: ₹2,817 crore
  • AgriStack target: 11 crore Farmer IDs by FY 2026-27; over 8.4 crore generated by Feb 2026
  • Namo Drone Didi: 15,000 women SHGs; launched March 2024; ₹500 crore budget
  • e-NAM launched: April 2016; over 1,389 mandis on platform
  • Soil Health Card: 2015; tests 14 parameters; 23+ crore cards distributed
  • Krishi DSS integrates: remote sensing + crop + soil + weather + water data
  • Three pillars of precision agriculture: right input, right place, right time

For Mains (GS Paper 3):

  • Frame agritech answers around: digital identity (AgriStack) + market access (e-NAM) + precision inputs (IoT/drones/AI) + farmer welfare (PM-KISAN, insurance)
  • AgriStack as agricultural DPI: "Just as Aadhaar transformed welfare delivery by eliminating ghost beneficiaries, Farmer ID can transform farm-level credit, insurance, and subsidy delivery"
  • Drone policy: Namo Drone Didi is both agritech and women empowerment — a good example of convergent policy
  • Limitations: fragmented landholdings, digital divide among small/marginal farmers, data privacy concerns with Farmer ID, limited 4G/5G connectivity in farm areas — all valid counterpoints
  • e-NAM's limitation: APMC malpractices persist; physical infrastructure (cold storage, grading) still inadequate in most mandis