Authors : Oyelowo, Omotola. R.; Obansola, Oluwatoyin. Y.; Olaniran, Rukayat. A.; Alawode, Michael. O.

Volume/Issue : Volume 9 - 2024, Issue 6 - June

Google Scholar : https://tinyurl.com/3a9jxpcm

Scribd : https://tinyurl.com/5ajben7n

DOI : https://doi.org/10.38124/ijisrt/IJISRT24JUN1715

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The integration of internet of things in agriculture has paved way for smart farming solutions thereby enhancing productivity and efficiency. This paper aimed at developing a smart system consisting of two (2) modules namely: The Agro-AI module, a Chabot that allows the farmers to inquire, and the Get–Started module, which is a registration portal for training farmers. In addition, the inclusion of a soil detector that can assess the soil PH, moisture and fertility, all of which play a significant role in giving real-time information about the soil conditions to boost farmers’ productivity. The system was built using the following techniques: Javascript, HTML, PHP, and CSS for the front end and MySQL for the back end. The implementation of the Sf- IoT system will help improve farmers' productivity and assist farmers in making decisions regarding soil management leading to improved crop quality, yield, and harvest.

Keywords : Smart Farming; Internet of Things; Agro-AI Chatbot; Soil Detector.

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