Success case

IIoT Solution for Smart Agriculture: SenseCAP LoRaWAN’s Environmental Monitoring for Sustainable Durian Farming in Malaysia

Seeed’s SenseCAP LoRaWAN devices enabled IIoT solution in Malaysia’s durian farming sector, tracking environmental growth conditions of the sensitive tropical fruit. The Project was successful in drastically decreasing the amount of human labor and natural resources, and predicting suitable irrigation patterns and pest control periods. Therefore, this Project directly and indirectly contributes to the UN’s SDGs 9, 12, 8, 2, 13, 16, 6, 7, 11 and 17.

Industry
Agriculture
Region
马来西亚·种植园
Application
Durian Orchard Environmental Management

Project background and needs

The Smart Durian Farming Project in Malaysia uses SenseCAP LoRaWAN to continuously monitor soil, climate, and environmental parameters, helping growers address the gap left by manual inspections that cannot provide continuous data.

Continuous Monitoring

  • Durian is sensitive to changes in temperature, humidity, and soil conditions.
  • Manual monitoring was time-consuming and could not provide continuous real-time data.

Growing conditions needed to be continuously captured.

Resource Inputs

  • The project required improving yield and quality.
  • It also needed to reduce resource use while optimizing growing conditions.

Irrigation and management decisions needed to be supported by environmental data.

Solution and architecture

Environmental Sensing

A gateway together with air, soil, light, and rainfall sensors forms the LoRaWAN monitoring system.

Cultivation Management

Soil moisture data drives precision irrigation, while environmental analysis supports pest prevention and manual inspection scheduling.

Results

Approx. 15–20%
Increase in Durian Yield

The Malaysian smart durian-farming project in the source.

30%
Reduction in Water Use

Soil-moisture-based precision irrigation in the same project.

50%
Reduction in Labor Cost

The same project's cost basis for replacing manual inspection with automated monitoring.

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