WORLD B — AGRICULTURAL GEOGRAPHY · REALM 25
IT & Precision Agri
Precision Farming & Drones · Remote Sensing & GIS · Satellite Crop Monitoring (36 Micro-Realms)
ECONOMIC GEOGRAPHY
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REALM 24: CLIMATE CHANGE
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SPATIAL VARIABILITY
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SITE-SPECIFIC CROP MGMT
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UAVs & SENSORS
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REMOTE SENSING & GIS
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AGRISTACK (DPI)
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DATA-DRIVEN GOVERNANCE
SUB-WORLD I — PRECISION AGRICULTURE ARCHITECTURE
Site-Specific Crop Management (25.01 – 25.09)
MICRO-REALM 25.01
Concept of Precision Farming
- Site-Specific Crop Management (SSCM)
- Right input, right amount, right time, right place
- Maximizes yield while minimizing ecological harm
Variable Rate Tech (VRT)
- Automated application of seeds/fertilizers
- Adapts dosage based on real-time spatial data
- Replaces uniform broadcast spraying
GPS-Guided Auto-Steer
- Centimeter-level accuracy navigation (RTK)
- Prevents overlap and skipped rows
- Reduces fuel consumption and driver fatigue
In-Situ Sensors
- IoT devices buried in the root zone
- Real-time soil moisture and NPK telemetry
- Triggers automated irrigation systems
Yield Monitoring Systems
- Attached to combine harvesters
- Maps crop output geo-spatially during harvest
- Identifies low-performing zones for next season
AI-Enabled Advisory
- Bharat-VISTAAR for AI-driven advisory
- National Pest Surveillance System (NPSS)
- Machine-learning diagnostics from mobile photos
Automated Irrigation (IoT)
- Smart controllers linked to weather forecasts
- Variable-rate irrigation pivots
- Drastically improves water use efficiency
Farm Management (FMIS)
- Centralized software dashboards
- Integrates financial, agronomic, and spatial data
- Calculates ROI per square meter of field
Smart Greenhouses (CEA)
- Controlled Environment Agriculture
- Automated climate, humidity, and fertigation
- Decouples production from external weather shocks
SUB-WORLD II — KISAN DRONES & AERIAL AGRONOMY
UAV Applications in Indian Agriculture (25.10 – 25.18)
MICRO-REALM 25.10
UAVs in Agriculture
- Unmanned Aerial Vehicles filling the low-altitude data gap
- Higher resolution than satellites, unaffected by clouds
- On-demand rapid deployment
Kisan Drone Policy
- Government subsidies for FPOs and KVKs
- Promoting Custom Hiring Centres (CHCs) for shared use
- Addresses the high capital barrier for smallholders
Precision Chemical Spraying
- Reduces water and pesticide usage by 30-40%
- Prevents human exposure to toxic chemicals
- Uniform droplet distribution over tall crops (Sugarcane)
Multispectral Drone Imaging
- Captures Near-Infrared (NIR) light invisible to human eye
- Detects plant stress weeks before visible yellowing
- Generates prescription maps for Variable Rate spraying
Topographic 3D Mapping
- Digital Elevation Models (DEM) via photogrammetry
- Crucial for designing drainage and contour terraces
- Guides precise laser land-leveling
Drone Seed Broadcasting
- Aerial seeding of cover crops or forests (Seed balls)
- Reaches inaccessible, rugged terrain
- Extremely rapid sowing window completion
Biomass & Canopy Assessment
- LiDAR drones measuring crop height/volume
- Predicts harvest yield accurately
- Used in forestry and orchard management
Crop Damage Assessment
- Rapid post-disaster (flood/hail) mapping
- Accelerates PMFBY insurance claim settlements
- Objective, irrefutable visual evidence
"Drone Didi" Scheme
- Empowering Women Self-Help Groups (SHGs)
- Providing 15,000 drones to rural women
- Creates skilled rural service employment
SUB-WORLD III — REMOTE SENSING & GIS ANALYTICS
Satellites, Indices & Spatial Modelling (25.19 – 25.27)
MICRO-REALM 25.19
Satellite Remote Sensing
- Earth Observation Satellites (e.g., Resourcesat)
- Macroscopic view of agricultural patterns
- Passive (Optical) vs Active (Radar/SAR) sensors
NDVI Index
- Normalized Difference Vegetation Index
- Measures difference between Near-Infrared and Red light
- Universal proxy for crop health and vigour
GIS Integration
- Geographic Information Systems (GIS)
- Overlaying spatial layers (Soil + Climate + Topo)
- Enables complex spatial queries and suitability modeling
Soil Profile Mapping
- Digital Agriculture Mission component
- 1:10,000 scale mapping of 142M ha agricultural land
- Detailed inventory of soil health and properties
Groundwater Mapping
- Using satellite geomorphology to find aquifers
- Identifying fracture zones in hard-rock terrain
- Guides location of borewells and recharge structures
Agro-Climatic Zoning via GIS
Z1
Z2
Z3
Z4
- Automated delineation of ecological regions
- Matches crop requirements to spatial realities
- Dynamic updating as climate change shifts boundaries
Crop Acreage (FASAL)
- Forecasting Agricultural output using Space, Agrometeorology and Land based obs.
- Early season acreage estimation
- Crucial for government price policy planning
Hyperspectral Imaging
- Analyzes hundreds of narrow light bands
- Detects specific chemical signatures (Nutrient deficiencies)
- Differentiates weed species from crops
Thermal Remote Sensing
- Measures canopy temperature
- Detects evapotranspiration rates and water stress
- Guides precision irrigation scheduling
SUB-WORLD IV — AGRISTACK & DPI
Digital Agriculture Mission & Core Registries (25.28 – 25.36)
MICRO-REALM 25.28
Digital Agriculture Mission
- Approved 2024 with ₹2,817 Crore outlay
- Umbrella program for digital transformation
- Targets efficient value chains and scheme delivery
AgriStack (DPI)
- Digital Public Infrastructure for agriculture
- Federated structure linking Centre and States
- Comprises three foundational core registries
Farmer Registry (Farmer ID)
- Trusted 'Kisan ki Pehchaan' similar to Aadhaar
- Target: 11 crore farmer IDs by FY 2026-27
- Linked to land records and demographic details
Geo-Referenced Village Maps
- Digitally mapping all agricultural land parcels
- Core registry of the AgriStack framework
- Enables spatial verification of ownership
Crop Sown Registry (DCS)
- Digital Crop Survey conducted each season
- Mobile-based ground-truthed data collection
- Replaces paper-based crop surveying
Krishi-DSS
- Krishi Decision Support System
- Unifies remote sensing data (Crops, Soil, Weather)
- Comprehensive geospatial intelligence platform
Unified Service Interface
API
- UFSI building block for interoperability
- Allows Agritech, Banks, and Govt to access data
- Consent-brokered secure access
Digital Crop Estimation (DGCES)
- Digital General Crop Estimation Survey
- Digitises geo-tagged crop-cutting experiments
- Provides reliable yield estimates for insurance
Traceability & Trust
TX
TX
- Seed traceability and quality control
- Blockchain for transparent agricultural markets
- Faster disaster relief and PMFBY settlements
Core Ontological Distinctions
Precision Agriculture vs. Traditional AgricultureTraditional agriculture treats a whole field as a single uniform unit, applying the same amount of water and fertilizer everywhere. Precision Agriculture recognizes intra-field spatial variability, using sensors and VRT (Variable Rate Technology) to apply inputs exactly where and when they are needed, optimizing yield and reducing waste.
Drones (UAVs) vs. SatellitesSatellites provide massive macro-level spatial coverage but are limited by cloud cover and lower resolution. Drones operate below the clouds, providing ultra-high-resolution, on-demand data for micro-level farm management, and can actively perform tasks like spraying.
AgriStack vs. Krishi-DSSAgriStack is the foundational Digital Public Infrastructure (DPI) consisting of registries (Farmer ID, Land Maps, Crop Sown) for identity and scheme delivery. Krishi-DSS is the analytical geospatial engine that processes remote-sensing data (weather, soil, crops) to aid macro decision-making.
The Digital Agri Multiplier
How data infrastructure transforms agrarian efficiency.
FRAGMENTED LAND & DATA SYLOS
↓ Satellites + DCS + Sensors
REAL-TIME SPATIAL INTELLIGENCE
↓ Farmer Registry + Land Maps
AGRISTACK (DPI INTEGRATION)
↓ AI Advisory + UFSI APIs
PRECISION FARMING ADOPTION
↓ Variable Rate Drones/Tractors
RESOURCE EFFICIENCY & YIELD MAXIMIZATION