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Mertani is conducting a project in controlling groundwater levels together with large palm oil plantations in Indonesia using the IoT Water Level which is placed on three land zones namely the upper, middle, and lower zones. Each block has an area of around 30 hectares. IoT Water Levels are placed on each zoning and are used to reach 130 palm oil trees per hectare. Water level can detect palm oil optimal water requirement, of around 300-350 liters/stem/day. This is such a prevention during the rainy season.
The decrease in palm oil production reached 2% in September 2019. Serious handling has been carried out by several oil palm companies together with Mertani by installing several IoT Automatic Weather Stations at several plantation locations in Sumatra and Kalimantan. The accuracy of data collection on rainfall, temperature, and humidity can help measure the level of oil palm evapotranspiration so that the control of water requirements needed for oil palm plants can be adjusted to yield standards for harvesting.
Mertani is conducting a project to test the accuracy of Hardware Communication by conducting a Proof of Concept (POC) at a palm oil plantation company in Sumatera. Accuracy monitoring is carried out by adjusting the needs of palm oil plantations. In this case, palm oil plantations want a wide range of GPS and a data transmission system that can transmit large amounts of data.
The benefits of improving GPS quality and data retrieval are used to expand the range in monitoring harvesters’ locations and also to facilitate the collection of harvest data. The determination of the location range is still evaluated until it reaches the desired range. Location determination using GPS has equipped with Low Power Wide Area Network (LoRaWAN) technology facilitated by Tuni.