A Sensor Data Acquisition System for Smart Agriculture

The agricultural economy of India depends heavily on agricultural production for its economic structure. Crop monitoring and timely interventions can be critical in improving agriculture outcomes. Because of the criticality of the agriculture domain and the relevance of analytical solutions for improving its operational effectiveness, this research paper presents a sensor data acquisition framework for acquiring data from sensors mounted on the robot which is an unmanned aerial vehicles (UAVs) technology. The proposed work uses Internet of Things (IoT)-based sensors for data acquisition by deploying robot-mounted sensors on crop fields. These robots traverse the crop and collect real-time parameters, i.e., temperature, humidity, moisture, and bacteria, which are then pushed to the cloud and subsequently used for analysis. The dataset is analyzed using exploratory analysis to determine the statistical values of the observed parameters. The results of the analysis are published on the Twitter platform using ThingSpeak which is an IoT analytics service that allows us to aggregate, visualize, and analyze live data streams in the cloud. The obtained results demonstrate the ability of the system and its possibility to be utilized as a commercial agriculture practice for farmers/users.