[LO] Soil moisture sensor networks for irrigation scheduling in Myanmar's central dry zone
[Tên tác giả]
[Đơn vị công tác]
- ຕີພິມໃນ
- [Tên tạp chí hoặc hội nghị]
- ປີ
- 2025
- DOI
- 10.48550/clmv.2026.010
- ພາສາຕົ້ນສະບັບ
- English
- ຫົວຂໍ້
- ກະສິກຳອັດສະລິຍະ, ການຫັນປ່ຽນສີຂຽວ
- ເຜີຍແຜ່ໂດຍ
- [Đơn vị công tác]
ບົດສະຫຼຸບ
[LO] This article evaluates the use of low-cost soil moisture sensor networks to guide irrigation scheduling in Myanmar's central dry zone. Field trial data indicate meaningful water savings without yield loss when sensor-guided scheduling replaces fixed calendar irrigation. The article discusses scaling considerations for similar dry zone contexts.
[LO] Background
[LO] Farmers in Myanmar's central dry zone have traditionally relied on fixed calendar-based irrigation schedules, an approach that often leads to either water waste or under-irrigation given highly variable soil moisture conditions.
[LO] This article evaluates whether low-cost soil moisture sensors can improve irrigation efficiency without requiring farmers to adopt complex or costly monitoring equipment.
[LO] Methods
[LO] A field trial was conducted comparing crop plots irrigated on a fixed calendar schedule against plots irrigated based on readings from low-cost soil moisture sensors installed at representative depths.
[LO] Water use and yield outcomes were recorded across two growing seasons to compare the two irrigation approaches under similar soil and crop conditions.
[LO] Key findings
[LO] Sensor-guided irrigation reduced total water use meaningfully compared with fixed calendar scheduling, while yields in sensor-guided plots remained statistically comparable to calendar-irrigated plots.
[LO] The greatest water savings occurred during periods of unexpected rainfall, when calendar-based schedules continued irrigation regardless of actual soil moisture conditions.
[LO] Policy recommendations
[LO] The article recommends piloting subsidised distribution of low-cost soil moisture sensors among farmer groups in water-stressed dry zone areas, given the observed water savings at minimal added cost.
[LO] It also recommends pairing sensor distribution with basic training on interpreting readings, since farmer understanding of sensor data was found to influence how consistently the technology was used.