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Time:2025-09-26 15:28:26 Popularity:5
In an era where global food security faces water scarcity, climate change, and production efficiency bottlenecks, traditional rice cultivation and small-scale agriculture are undergoing a quiet technological revolution. By deploying Internet of Things (IoT) sensors and automated weather stations, farmers are shifting from experience-driven to data-driven practices, achieving multiple goals: water conservation, stable yields, cost reduction, and enhanced efficiency.
Rice is one of the world’s most critical staple crops, yet its high water consumption—accounting for nearly 40% of agricultural water use—has long been a point of contention. With mounting water resource pressures, Alternate Wetting and Drying (AWD) has emerged as a widely recognized water-saving strategy. The key to making AWD effective lies in the support of IoT sensors.
Relying solely on visual checks to determine if fields have dried is imprecise and often misses the optimal re-watering window. Soil moisture tension sensors or water level probes buried in the field can monitor root-zone water content or groundwater levels in real time, triggering irrigation alerts when predefined thresholds are reached.
These devices typically feature:
· Low-power designs (e.g., LoRaWAN or NB-IoT protocols) supporting transmission over several kilometers.
· Solar-powered systems suited for remote rice-growing areas with limited electricity.
· Modular deployment, with a single gateway covering hundreds to thousands of acres of contiguous farmland.
Data is uploaded to a cloud platform, allowing farmers to view field conditions and receive irrigation recommendations via a mobile app, preventing over- or under-watering.
From multiple collaborative projects, we’ve observed:
· Irrigation water use reduced by 25%–30%, with yields remaining stable or slightly improved.
· Shorter flooding periods significantly cut methane emissions, supporting low-carbon farming practices.
· Integration with multispectral remote sensing (via drones or satellites) identifies early stress signals like nitrogen deficiency or salinization, guiding variable-rate fertilization and reducing fertilizer use by 10%–15%.
· Farmers no longer need daily field inspections, significantly lowering labor demands.
“I used to walk miles every day to check water levels; now I just look at my phone to know which field needs irrigation,” shared one farmer from a pilot project.
For small to medium farms or cooperatives, we recommend a “lightweight startup, gradual expansion” approach:
1. Begin with 2–3 monitoring points in representative fields.
2. Pair with a simple mobile app for data access.
3. Link alerts to irrigation actions, forming a “sense-decide-act” closed loop.
4. Scale up coverage after validating results.
Note: Prolonged flooding may disrupt wireless signals, so opt for waterproof, silt-resistant sensors and perform regular maintenance and calibration.
Prev:Weather Stations in Coffee Plantations: Improving Crop Forecasting
Next:Why Smallholder Farmers Need Their Own Weather Stations
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