Increased efficiency of Smart Water Systems for Vegetable Plants Using the Deep Learning Classification Approach

Permana, Inggih; Mantoro, Teddy; Irawan, Edi; Handayani, Dini; Safitri, Cutifa

doi:10.1109/icced46541.2019.9161102

Cited by 2 publications

(1 citation statement)

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“…In addition, water replacement is less effective in using drainage holes at the land boundary [2], the pH level of the water enters acidic and alkaline properties which can cause rice plants to become saturated and die [3], as well as poor fertilizer quality and sometimes not fertilizer application. According to the dose [4].…”

Section: Introductionmentioning

confidence: 99%

Internet of things implementation and analysis of fuzzy Tsukamoto in prototype irrigation of rice

Silalahi

Jatikusumo

Budiyanto

et al. 2022

IJECE

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<span lang="EN-US">This research raises the topic of modern technology in the field of rice fields. The problem in this research is determining the fuzzy inference system algorithm for electronic engineering. The prototype was built by Raspberry Pi and python-based to the internet of things. The objective of this research is to design a new model for the rice field monitoring/control system and display every condition based on the internet of things. So that the hypothesis of this research can answer the phenomena that occur in rice fields, including drought problems, maintained plant conditions. The test results showed that irrigation control automatically runs optimally by scheduling, automatic irrigation control of water pH degree value detection analyzed by fuzzy Tsukamoto method at Z=3.5 defuzzification value for low and high irrigation control, and Z value=1.83 for normal irrigation control. Furthermore, the scheduling of spraying liquid fertilizer obtained the results of duration for 60 min in accordance with the needs of fertilizer dose. Lastly, for monitoring data on the website successfully accessed anywhere from the use of hosting servers and domains. Finally, it can be concluded that fuzzy Tsukamoto's algorithm is appropriate to be applied to the modern rice field system.</span>

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Section: Introductionmentioning

confidence: 99%