Year: 2025
Type: article
Abstract: Irrigation is the regular application of water to the crops so that the water supply to the crop will assist it to grow well. Irrigation is mainly useful in areas where there is a shortage of rainfall. The aim of this study is to optimize an IoT-based model for smart irrigation using the drop method. However, the objectives of the study are to; design an IoT-based model for smart irrigation and implement the optimized IoT-based model for smart irrigation. This study achieved its target; an optimized IoT model for smart irrigation using the drip method. The program has made the following functionality: login page wireframe, dashboard wireframe, system user case diagram, actuators page wireframe, sensor page wireframe and application interface design. The model was tested and approved to fulfill its mission and objectives such as designing an IoT-based model for smart irrigation, implementing the optimized IoT-based model for smart irrigation using the drip method with Python programming language, testing and evaluating the performance of the optimized IoT-based model for smart irrigation water using drip method was then deployed to the farm. Also, helps to solve the problem of scarcity of empirical evidences in the area of the study.
Institution: National Institute for Nigerian Languages
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4406825200