The Internet of Things (IoT) is transforming all applications into real-time monitoring systems. Due to the advancement in sensor technology and communication protocols, the implementation of the IoT is occurring rapidly. In agriculture, the IoT is encouraging implementation of real-time monitoring of crop fields from any remote location. However, there are several agricultural challenges regarding low power use and long-range transmission for effective implementation of the IoT. These challenges are overcome by integrating a long-range (LoRa) communication modem with customized, low-power hardware for transmitting agricultural field data to a cloud server. In this study, we implemented a custom-based sensor node, gateway, and handheld device for real-time transmission of agricultural data to a cloud server. Moreover, we calibrated certain LoRa field parameters, such as link budget, spreading factor, and receiver sensitivity, to extract the correlation of these parameters on a custom-built LoRa testbed in MATLAB. An energy harvesting mechanism is also presented in this article for analyzing the lifetime of the sensor node. Furthermore, this article addresses the significance and distinct kinds of localization algorithms. Based on the MATLAB simulation, we conclude that hybrid range-based localization algorithms are more reliable and scalable for deployment in the agricultural field. Finally, a real-time experiment was conducted to analyze the performance of custom sensor nodes, gateway, and handheld devices.

No abstract

Summary Low‐power wide area networks (LPWAN) applications are emerging as a new paradigm, over Internet of Things (IoT) platform. LoRa (long range) is playing a key role in information exchange between motes. This paper illustrates a mathematical optimization technique of LoRa modulation, i.e., frequency shift chirp modulation. Mathematical optimization for low power and LoRa has been validated with customized hardware designed for agricultural application. The performance analysis with channel modulation is mentioned in the networks. LoRa link budget concerning various obstacles calculated and losses are noted during testing. In context to the agricultural application, customized motes have been deployed in an agricultural field for field monitoring. The mathematical model is validated using a hardware device. Further data collection and data analysis are mentioned. Code optimization techniques are implemented to improve the overall efficiency of the device. Localization of sensor nodes also discussed to cover all the area of coverage. A comparative analysis is a showcased between SNR (signal‐to‐noise ratio) and RSSI (received signal strength indicator).

No abstract

Paddy cultivation is one of the major crops cultivated in India. Normally paddy cultivation is grown twice in a year, where the consumption of water is high during the cultivation. The monitoring of the water level continuously is a little bit tedious to the farmer. However, with the assistance of advanced technology, the burden on the farmer can be reduced. So, in this study, we are proposing the Wireless Sensor Network (WSN) architecturebased water level regulating system. WSN architecture consists of three nodes like sensor node, cluster head node, and sink node. With the assistance of the float sensor and ZigBee wireless communication module, the sensor node which is deployed in the paddy field senses the water level data and communicates to the sink node. The cluster head node monitors the sensor nodes of the cluster of paddy fields and controls the actuator concerning the water level. Sink node is generally located nearby farmer location, with the assistance of sink node the farmer observer the status of water level in their paddy fields in the LCD display. This system enhances in maintaining the optimal level of water and also reduces the burden on the farmer for continuous monitoring. Especially the sensor node follows the power management system, where the power interruption is avoided.