Smart agriculture platform monitoring 80,000 hectares across 8 states
A government-funded digital agriculture initiative deploying thousands of IoT sensors across Northeast India for real-time soil, weather, and crop health monitoring — with a cloud analytics platform and farmer advisory system.
The Challenge
Northeast India's agriculture faces a unique set of challenges that distinguish it from the rest of the country. The terrain is hilly and heavily forested. Monsoon rains are among the heaviest in India. Connectivity is limited in remote areas. And the cropping patterns across 8 states — Assam, Meghalaya, Manipur, Mizoram, Nagaland, Tripura, Arunachal Pradesh, and Sikkim — are remarkably diverse.
Government agricultural agencies lacked real-time data on soil health, weather patterns, and crop conditions. Policy decisions were made on outdated survey data. Farmer advisories, when they existed, were generic rather than localized. There was no way to detect pest outbreaks early, predict optimal planting windows, or provide irrigation guidance based on actual soil moisture.
The vision was ambitious: deploy a network of IoT sensors across 80,000 hectares, feeding data to a cloud analytics platform that could generate actionable advisories for farmers growing rice, tea, maize, ginger, turmeric, and banana. But the technical challenges were significant — how do you maintain LoRaWAN connectivity in hilly terrain? How do sensors survive monsoon conditions?
Our Approach
We designed a 3-layer data architecture. The first layer is ground-truth: LoRaWAN sensors measuring soil moisture, soil temperature, ambient temperature, humidity, rainfall, and leaf wetness. The second layer is satellite: government ISRO data for vegetation indices, land use classification, and weather forecasting. The third layer is derived: AI models that combine ground and satellite data to generate crop-specific advisories.
Sensor selection was critical. We evaluated multiple vendors before recommending Tektelic sensors paired with Avnet gateways. The Tektelic soil sensors are rated for outdoor deployment and can survive the monsoon. LoRaWAN was chosen over cellular because it offers better range in hilly terrain and lower operating costs at scale. We designed gateway placement to account for terrain, with line-of-sight analysis for each proposed location.
The project began not with code, but with a Detailed Project Report (DPR) covering technical architecture, deployment phasing, cost modeling, and projected benefits. This ₹183 Cr programme design was submitted under the ANRF-ATRI scheme and approved for funding.
What We Built
IoT Sensor Network Design
Comprehensive deployment plan for LoRaWAN gateways and field sensors across 80,000 hectares. Gateway placement optimized for terrain using line-of-sight analysis. Sensor density calculated per crop type and monitoring requirement.
Cloud Analytics Platform
Real-time data ingestion from field sensors with automatic quality checks. Time-series database optimized for sensor data. Visualization dashboards showing current conditions, historical trends, and anomaly detection.
Farmer Advisory System
Crop-specific advisories for 6 priority crops: Rice, Tea, Maize, Ginger, Turmeric, and Banana. Recommendations cover planting windows, irrigation scheduling, fertilizer application, and pest/disease alerts based on weather conditions.
Soil Health Monitoring
Continuous soil moisture and pH monitoring. Automated alerts when values fall outside optimal ranges. pH correction advisories with lime/gypsum application recommendations. Integration with soil testing lab results.
Climate Risk Modeling
Weather forecasting integration for 7-day outlook. Frost risk alerts for tea gardens. Flood risk modeling for low-lying areas. Drought stress indicators based on soil moisture trends.
Carbon MRV Framework
Measurement, Reporting, and Verification framework for the bamboo plantation component. Carbon sequestration estimation models. Compliance with international carbon credit standards.
The Outcome
The programme design was approved for implementation across 8 Northeast Indian states. The ₹183 Cr funding under ANRF-ATRI scheme will deploy IoT infrastructure covering 80,000 hectares. At maturity, the programme is projected to deliver ₹704 Cr in annual benefits through improved yields, reduced input costs, and carbon credits.