Data analytics for smart fertilizing system.

In this project, five essential sections were developed, spanning from the investigative phase to implementation. Each segment, including data collection and transmission, cloud connectivity, AGV Wi-Fi vehicle, fertilizing mechanism, and data analytics, was meticulously crafted based on selected tools and methodologies. NodeMCU ESP8266 was chosen as the microcontroller for data collection and transmission, successfully executing tasks of receiving and transmitting data to the cloud server. Google Sheet was employed as the cloud service provider due to its suitability for the project, with advantages over other platforms discussed. The workflow of the Wi-Fi controlled vehicle and cloud connectivity was elucidated through block diagrams, and the decision tree function was detailed using flowcharts. The successful system implementation and results were showcased. For data analytics, Microsoft Power BI software was selected for its user- friendly interface. The connection between Google Sheet and Power BI was outlined in a block diagram, and step-by-step instructions for observing data analytics results were provided through flowcharts. The Power BI results and dashboards were presented in the system implementation section, emphasizing the comprehensive approach taken in this project. [ABSTRACT FROM AUTHOR]