Executive Summary
Bangladesh agriculture sits at an inflection point. Land per cultivator is shrinking, groundwater tables are falling year on year, fertiliser subsidies are tightening and climate volatility — longer droughts, heavier monsoons, salinity creeping further north — is making intuition-based farming increasingly costly. At the same time, the price the modern grower can command is rising, but only for produce that is consistent, traceable and demonstrably grown to specification. SGT Systems Limited's Smart Agriculture and Precision Farming service exists to bridge that gap with field-tested, low-power IoT systems that bring measurable agronomic decisions to crops, orchards, greenhouses and dairy operations.
This white paper is written for commercial growers, agri-export companies, contract-farming aggregators and development-finance projects who are planning capital investments of BDT 25 lakh and upward in irrigation, sensing, climate control or supply-chain digitisation. Our role is to design, supply, install, integrate and operate the technology stack — sensors, gateways, cloud platform and the farmer-facing app — so that you focus on agronomy and we are accountable for uptime, accuracy and ROI.
The pages that follow describe the methodology, the technology stack, the engagement model and the kind of outcomes a comparable Bangladeshi operation has achieved.
Industry Context
The global precision-agriculture market was valued at roughly USD 9.5 billion in 2023 and is on track to exceed USD 23 billion by 2030. The growth is driven by three converging forces: declining arable land, rising input costs (fertiliser prices in 2022 were 2.5x their 2020 average), and consumer-side traceability mandates from European and Middle Eastern buyers.
Bangladesh has 4.7 million hectares of irrigated cropland and roughly 1.5 million shallow tube wells. The 2023 NAP-Bangladesh update estimates that 60 percent of dry-season groundwater abstraction is over-applied at the field level — meaning crops would yield the same or more with 30–40 percent less water. Soil-moisture-based irrigation scheduling alone has been shown in BARI trials to cut water and energy costs by 25–35 percent on boro rice and by 40–50 percent on vegetables.
The horticulture and floriculture export segments — mango, jackfruit, dragon fruit, tomato, capsicum, gerbera and rose — are growing at double digits, but rejection rates at the Dhaka cold chain and the buyer end remain high because greenhouses and pack-houses lack real-time climate and quality control. Dairy is in a similar position: the country has crossed 14 million tonnes of milk production, but somatic-cell-count and chilling-chain compliance gaps push 12–18 percent of milk to be downgraded.
Connectivity is the enabling change. LoRaWAN on the licensed 868 MHz band reaches 5–10 km in rural line-of-sight, NB-IoT and Cat-M1 from local mobile operators now cover most upazilas, and solar-powered gateways with multi-day battery autonomy have brought the cost of an instrumented hectare under USD 80 for a five-year horizon.
Challenges We Solve
- Over-irrigation and energy waste. Diesel and grid-powered pumps run on fixed schedules rather than on actual soil-moisture deficit, wasting both water and money.
- Climate-driven yield loss in greenhouses. Without continuous temperature, humidity and CO2 monitoring, vent and shade control is reactive and uneven.
- Disease outbreaks detected too late. Late blight in potato, blast in rice, powdery mildew in cucurbits — all have well-documented temperature/humidity windows that can be predicted 48–72 hours in advance from on-farm sensors.
- Fertiliser over-application. Nutrient management based on soil tests done once per season rather than continuous EC/pH monitoring leaves money in the field and runs off into waterways.
- Cold-chain breaks. Milk and produce lose value when chillers fail unnoticed overnight or transport refrigeration drifts above threshold.
- Lack of traceability. Export buyers want field-level GAP records that smallholder aggregators cannot produce on paper.
- Farmer adoption. Technology that only speaks English in a web dashboard does not change behaviour. We invest heavily in Bangla mobile UX and voice-based alerts.
Our Approach
Discovery & Requirements Gathering
Our agronomy and engineering team spends three to five days on site with the farm manager, surveying topology, water sources, existing irrigation infrastructure, crop calendar and pain points. We deliver a written assessment that quantifies the opportunity in cubic metres of water saved, kilowatt-hours of pump energy avoided and incremental yield expected.
Solution Architecture
We design a tiered architecture: a sensor mesh in the field (soil moisture at multiple depths, soil EC and temperature, leaf wetness, microclimate stations, water-flow meters), one or more solar-powered LoRaWAN gateways, a cloud platform for decision support, and a Bangla mobile app for the farm manager and field staff. Where automation is required (valves, pumps, vents) we add edge controllers that close the loop locally so that connectivity loss never stops irrigation.
Hardware Selection & Procurement
We work with field-proven sensor partners (Sentek, METER Group, Davis Instruments, Dragino, Milesight) and source locally where possible to minimise lead time and import cost. For valves and pumps we standardise on robust 24 VDC latching solenoids that survive lightning and brown-outs. Solar sizing is conservative: every gateway and controller is rated for seven days of overcast autonomy.
Implementation & Integration
Installation is staged to fit the crop calendar. Sensors are positioned according to representative-zone soil mapping rather than on a uniform grid, which typically reduces sensor count by 30–40 percent without losing decision quality. Every device is geo-tagged, photographed and serial-tracked in our asset registry.
Deployment & Commissioning
We commission one zone at a time, validate readings against gravimetric soil sampling, and benchmark the recommendation engine against the farm manager's own decisions for two full irrigation cycles before turning on automated control. Farm staff are trained in Bangla, with printed quick-reference cards laminated for field use.
Operations & Optimisation
The optional AMC includes seasonal recalibration, firmware updates, replacement of consumables (batteries, desiccants), and quarterly agronomy reviews where we sit down with the farm manager to look at the data and refine irrigation thresholds, fertigation recipes and disease-alert sensitivities.
Technology Stack
| Layer | Technologies |
|---|---|
| Edge / Devices | Sentek & METER Group capacitance soil-moisture probes; Davis Vantage Pro2 weather stations; Dragino LoRaWAN soil & leaf-wetness nodes; Milesight UC controllers; 24 VDC latching solenoid valves; ultrasonic water-level sensors |
| Connectivity | LoRaWAN on licensed 868 MHz, NB-IoT and Cat-M1 where coverage is good, solar-powered Multitech / Kerlink gateways, fallback to 4G mobile router with BTRC-compliant SIMs |
| Backend | The Things Stack (LoRaWAN network server), MQTT broker, TimescaleDB for sensor data, PostgreSQL for farm records, integration with BMD weather API, Sentinel-2 NDVI imagery via Sentinel Hub |
| Decision Support | Crop-water-balance models (FAO-56 ETo), disease-forecast engines (TOM-CAST, BLITECAST, rice-blast index), fertigation recipe library, scheduled-vs-actual irrigation reconciliation |
| Visualisation | Native Android app in Bangla & English for farm managers; web dashboard for owners and exporters; SMS / voice alerts for farmhands without smartphones; printed weekly PDF reports |
| Security | OTAA-only LoRaWAN join, per-device AES-128 keys, TLS to backend, role-based access, GDPR-aligned consent flows for smallholder data |
Engagement Model
| Phase | Duration | Deliverables | Payment Trigger |
|---|---|---|---|
| 1. Site Survey & Assessment | 1–2 weeks | Topology map, soil-zone analysis, opportunity quantification, sensor plan | Fixed fee on report acceptance |
| 2. Pilot Block Design | 2–3 weeks | BoQ, network coverage simulation, controller logic specification | 30% of phase on sign-off |
| 3. Pilot Installation | 4–6 weeks | One representative block fully instrumented and automated, baseline data captured | 30% on pilot acceptance |
| 4. Full Roll-out | 2–6 months (seasonal) | Remaining blocks, mobile-app rollout, farm-staff training in Bangla | Milestone-based per block accepted |
| 5. Season-One Hyper-care | One full crop cycle | On-call agronomy & engineering support, weekly performance reports | Included in roll-out |
| 6. AMC (optional) | Annual | Recalibration, firmware, consumables, quarterly agronomy reviews | Annual in advance |
Case Study Example
A 220-hectare commercial vegetable and mango operation in Rajshahi engaged SGT Systems to address rising diesel-pump costs and recurring late-blight losses in the tomato block. We installed 42 soil-moisture stations across 11 management zones, three Davis weather stations, two solar LoRaWAN gateways covering the entire estate, and automated 38 irrigation valves driven by a crop-water-balance model.
Over one full kharif season the measured outcomes were: irrigation water use down 31 percent, diesel-pump runtime down 27 percent, two late-blight outbreaks predicted and treated three days before visible symptoms (versus the prior year's first outbreak being detected only after visible damage), and tomato marketable yield up 11 percent. The farm manager now spends his mornings reviewing the dashboard on his phone rather than physically walking 220 hectares to check soil by feel.
Why SGT Systems
Most precision-agriculture vendors in this market are either pure-play sensor importers (no platform, no agronomy) or pure-play software houses (no field engineering). We deliberately occupy the middle ground: an integrated engineering, agronomy and software team that takes accountability for the entire stack from probe-in-the-ground to recommendation-on-the-farm-manager's-phone.
We have invested heavily in three areas that matter to Bangladeshi operators specifically. First, ruggedisation: every field design assumes monsoon ingress, lightning, dust, livestock and casual mishandling, and we maintain a documented field-failure log so that next-generation designs improve on the last. Second, Bangla-first user experience: our mobile app is designed for a farm manager who reads Bangla and is more comfortable with voice than text, with English as a secondary option. Third, agronomic localisation: our crop models are tuned with BARI, BRRI and BJRI reference data so that recommendations are calibrated to local cultivars and soils rather than imported defaults from Mediterranean or American agronomy.
Finally, we deliver field-engineering response that matches farm timelines. A broken sensor at peak boro irrigation cannot wait two weeks for a swap. Our AMC SLA targets 48-hour field response across the country with a stocked spares inventory in Dhaka, Bogura and Khulna.
Pricing & Procurement
Smart-agriculture engagements are quoted per hectare and per automation point, because the sensor density depends on crop type, soil heterogeneity and the level of irrigation automation required. Indicative ranges: BDT 35,000–90,000 per hectare for sensing only, plus BDT 18,000–45,000 per automated irrigation valve. Greenhouse climate-control retrofits are typically BDT 8–25 lakh per house depending on size and existing infrastructure.
Quotes are issued in BDT and USD, with milestone-based payment tied to acceptance of each block. For development-finance and contract-farming projects we structure pricing per beneficiary farmer with a service-fee model that scales as enrolment grows. The optional AMC is 12–16 percent of capital cost per year and covers all consumables, firmware updates and seasonal agronomy reviews.
Frequently Asked Questions
Will the sensors survive monsoon, lightning and field workers?
All field hardware is rated IP67 or IP68, fitted with surge-protected entries and mounted inside steel-cage protectors where appropriate. We have a documented mean-time-between-failure of more than 4 years on capacitance probes deployed in Rajshahi, Bogura and Sylhet conditions.
What happens when the LoRaWAN gateway loses connectivity?
Edge controllers run the irrigation logic locally; loss of cloud connectivity does not stop scheduled or moisture-driven irrigation. Sensor data is buffered on the gateway for up to 14 days and replayed when connectivity returns.
Can farmers without smartphones use the system?
Yes. Critical alerts (start/stop irrigation, disease risk, low fuel) are delivered as Bangla SMS or pre-recorded voice calls. Field supervisors with smartphones see the full dashboard; farmhands receive simple instructions.
Do you integrate with subsidy and export-certification programmes?
Yes. We can export GAP records, water-use logs and pesticide-application diaries in the formats required by GlobalGAP, the Bangladesh Hortex Foundation and the Bangladesh Bank green-financing window.
What about smallholder aggregator models?
For contract-farming and aggregator projects we have a tiered architecture: one gateway and one weather station per cluster, low-cost soil sensors at every farmer's primary plot, and a roving field-officer app that captures observations. Cost per farmer at scale drops well below BDT 6,000 per season.
Do you integrate satellite imagery into the platform?
Yes. We pull Sentinel-2 NDVI, NDRE and moisture-index tiles via Sentinel Hub on a 5-day revisit cycle and overlay them on the farm boundary in the dashboard. For higher-cadence or higher-resolution needs we can integrate commercial constellations (Planet, Maxar) on a per-block subscription basis.
Can the system run automated fertigation?
Yes. Where the farm has a fertigation manifold, we control dosing pumps from the same edge controller stack and apply recipes per crop stage, with the option to inject corrective doses based on real-time soil EC and crop demand models. All dosing events are logged for audit and traceability.
Next Steps
A 60-minute discovery call is the right first step, followed by a one-day site visit at no charge for qualified operations. We will leave you with a written opportunity estimate and a sample dashboard populated with simulated data from your crop and zone. Reach out through the contact page with a short description of your farm, crops and current irrigation setup.