Smart farming using IOT
Hari Prapcoyo (1), PETER EKA ROSADI(2), A.Y.N. WARSIKI(3), FRANS RICHARD KODONG(4)

1 Department of Informatics, Universitas Pembangunan Nasional Veteran Yogyakarta (UPNVY),
Yogyakarta, Indonesia
2. Department of Mining, Universitas Pembangunan Nasional Veteran Yogyakarta (UPNVY),
Yogyakarta, Indonesia
3. Department of Agriculture, Universitas Pembangunan Nasional Veteran Yogyakarta (UPNVY),
Yogyakarta, Indonesia
4. Faculty of Information and Communication Tecnology, Universiti Teknikal Malaysia Melaka
(UteM), Melaka, Malaysia

Abstract

This research intended to establish an integrated system to monitor crop growth and regulate irrigation to increase agricultural yields. To overcome such problems with conventional farming methods, an approach is proposed to automate crop systems, optimizing plant growth conditions and reducing water use. Design/methodology/approach In this study, the process starts with the data accuisition, creation of an IoT architecture, creation of irrigation instruments, implementation, testing and analysis the system. The system can work automatically, and the data read can be displayed in real-time on the website thinger.io. The system is capable of conditioning according to the needs of the plants, and the percentage results using IoT (Internet of Things) methods based on test results show that this system can increase the rate of plant growth and development with a significant increase in plant height, number of leaves, and leaf width. Additionally, this system also provides better water use efficiency compared to manual watering. The automatic watering efficiency for chili plants is 58%, for eggplants is 76%, and for tomatoes is 64%. Thus, this system can help farmers optimize water usage and improve plant productivity efficiently. This research develops smart irrigation in Precision Agriculture for several crop variations.

Keywords: Smart Irrigation, Sensor, IoT, Precision Agriculture

Topic: Engineering