Design and Implementation of a Cloud-Enabled IoT Framework for Real-Time Agricultural Monitoring
Abstract
Farming supports countless nations, though waste and poor tracking remain common. Outdated techniques depend on human checks - these frequently result in mistakes and reduced output. With tech evolving, networks of connected devices paired with remote servers now offer better options. Here comes a setup using those tools: sensors track conditions like wetness in dirt, air heat, dampness levels, plus how much rain falls - all nonstop. Information flows into distant digital hubs where numbers are kept, studied, shown clearly. Fresh updates on soil and weather reach farmers by phone or browser, so adjustments to watering happen faster. Because information flows without delay, less labor is needed while choices line up with actual field needs. Outcomes shift toward better harvests, simply because actions follow real evidence. Efficiency climbs when guesswork fades, leaving room for steady progress in how food grows.
Fields of Study & Subjects
Smart Agriculture and AI
Water Quality Monitoring Technologies
Energy Efficient Wireless Sensor Networks
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 January 2026