Design and Implementation of Tomatoes Plant Light Sensing Mobile App (a Case Study of Dan-Goro Green Farm in Kumbotso L.g.a)
Student: YUNUSA YUNUSA IDRIS (Project, 2025)
Department of Computer Science
Kano State Polytechnic, Kano, Kano State
Abstract
This project focuses on the development of a mobile application designed for real-time monitoring of light conditions in greenhouses to optimize the growth of tomatoes. It aims to address the challenge of inconsistent light exposure faced by local farmers at Dan-Goro Green Farm in Kumbotso L.G.A by providing an affordable and user-friendly solution. The application utilizes the smartphone's built-in light sensor to gather data, offering real-time insights and notifications to farmers to ensure optimal lighting conditions. By leveraging existing smartphone technology, this project eliminates the need for expensive external sensors, making precision agriculture accessible to small-scale farmers. Field testing at Dan-Goro Green Farm demonstrated significant improvements in monitoring capabilities and farmer awareness of light conditions, presenting a promising approach for enhancing agricultural productivity in rural areas of Kano State.
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For the full publication, please contact the author directly at: a.yunusaamir@gmail.com
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Institutions
- Sokoto State University, Sokoto, Sokoto State 42
- St. Albert The Great Major Seminary, Abeokuta. (affl. To University of Benin) 1
- Sule Lamido University, Kafin Hausa, Jigawa State 4
- Tai Solarin University of Education, Ijagun, Ogun State 18
- Tansian University, Oba, Anambra State 1
- Taraba State University, Jalingo, Taraba State 32
- Temple-Gate Polytechnic, Osisioma, Abia State 1
- The Oke-Ogun Polytechnic, Saki, Oyo State 6
- The Polytechnic, Ibadan, Oyo State 13
- THOMAS ADEWUMI UNIVERSITY, OKO-IRESE, KWARA STATE 1