This is like giving every field, tractor, and irrigation pipe a smart wearable and a 5G phone, then using AI to tell farmers exactly when and where to water, fertilize, or treat crops.
Traditional farming applies water, fertilizer, and pesticides uniformly and relies heavily on human inspection, which wastes inputs, reduces yields, and misses early signs of problems. IoT sensors plus 5G connectivity and AI allow real‑time, field‑level decisions that optimize inputs, increase yield, and reduce risk.
Integration of hardware (sensors, drones, machinery), telecom (5G), and domain-specific agronomic analytics pipelines plus historical farm data creates switching costs and defensible, localized know-how.
Hybrid
Time-Series DB
High (Custom Models/Infra)
5G/IoT network coverage and reliability in rural areas, and the cost of deploying, powering, and maintaining dense sensor networks at field scale.
Early Majority
Focus on combining dense IoT sensor grids with low-latency 5G links to support real-time, closed-loop control in precision agriculture, rather than just offline analytics from periodically collected data.