Comprehensive LoRa Based IoT Real-time Soil Monitoring for Oil Palm Plantation

Comprehensive Long Range (LoRa) Based Internet of Things (IoT) Real-Time Soil Monitoring for Oil Palm Plantations is a prototype that can send data to the receiver using LoRa technology. This paper describes a paper that aims to improve the current technology and provides a solution to overcome the manual soil monitoring system. The objectives of this paper are to develop a prototype using a temperature sensor, tilt sensor, pH sensor, and moisture sensor to determine the soil condition and to notify the farmers and the plantation managers of the soil conditions based on the data analytics. This prototype uses LoRa technology, a long-range and low-cost technology. The prototype‘s main components are the LoRa SX1278 and four specific sensors demonstrating communication between the LoRa technology sender and receiver. The prototype notifies the user of the soil’s tilt, pH, moisture, and temperature value in real-time via the ThingSpeak platform. This paper aims to zanalyze the data obtained and send an alert notification to improve the soil quality. The Iterative Waterfall Model is the method that is used in this paper. This model is efficient and easy to adapt to the prototype. This proposed prototype can increase productivity and efficiency by monitoring the soil condition to ensure crop quality.

Long range (LoRa); Oil palm; Soil

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