Working Paper Brief Report Version 1 This version is not peer-reviewed

Internet of Things and Farm Management Information System for Precision Agriculture: A Proof of Concept Circuit, Simulation and Web App

Version 1 : Received: 16 March 2021 / Approved: 17 March 2021 / Online: 17 March 2021 (19:45:27 CET)

How to cite: Adetiba, E.; Olumba, C.F.; Ifijeh, A.H.; Noma-Osaghae, E.; Adetiba, J.N.; Ameh, J.; Matthews, O.A. Internet of Things and Farm Management Information System for Precision Agriculture: A Proof of Concept Circuit, Simulation and Web App. Preprints 2021, 2021030457 Adetiba, E.; Olumba, C.F.; Ifijeh, A.H.; Noma-Osaghae, E.; Adetiba, J.N.; Ameh, J.; Matthews, O.A. Internet of Things and Farm Management Information System for Precision Agriculture: A Proof of Concept Circuit, Simulation and Web App. Preprints 2021, 2021030457

Abstract

The rising world population has made it imperative to get rid of time-consuming and non-economical agricultural practices. Thus, advances in Internet of Things (IoT) technology have recently propelled significant advancements in agriculture, similar to several other sectors. Through the combination of IoT and Farm Management Information Systems (FMIS), field data can be automatically collected, stored, analysed and accessed by farmers in real-time. In this paper, we present Proof-of-Concept (PoC) IoT circuit and FMIS web app for precision agriculture. The IoT circuit incorporates sensors, microcontroller and Wi-Fi module, which acquire and transfer field data to the FMIS web app. We designed and simulated the IoT circuit using Proteus, Arduino Uno, and Arduino Integrated Development Environment (IDE). The FMIS PoC web app was modelled with relevant Unified Modeling Language (UML) diagrams and Django (a Python framework) was employed to implement the app. Our simulation result illustrates how essentila field parameters can be monitored remotely and seamlessly by agriculture practitioners. It further provides a blueprint for real-time precision agriculture at scale and could serve as a learning aid for students in engineering and agricultural science.

Keywords

FMIS; Internet of Things; Precision Agriculture; PoC; UML

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