Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2821
Title: Sustainable Farming in Soilless Culture Non-Circulating Kratky Method Using Fuzzy Logic Control and Measure Greenness
Authors: WANNIACHCHI, L. R
JAYAKODY, A
Keywords: Arduino
DHT11
Kratky
Hydroponics
Sensors
Actuator
Electric Conductivity
Issue Date: Jan-2022
Series/Report no.: ICONIC RESEARCH AND ENGINEERING JOURNALS;Volume 5 Issue 7
Abstract: Organic horticulture and organic commodities have to face severe rivalry in today's economic environment. Even though there are several forms of home gardening, there is a need for a more organized and structured need has arisen. In horticultural, plants are planted on the water as a substitute for soil, it is feasible to achieve great efficiency although might be more suitable. Feeding the seedlings with the appropriate nutrients and hormones, as well as oxygen, is critical to the plant's vitality. The plant requires these chemicals and supplying them to the roots of plants would guarantee that the plant obtains the nutrients and oxygen it requires on a constant schedule. The system's strength is to give the plant the necessary oxygenation through the Air Roots of the seedlings being planted. The plant needs oxygen as well as nutrients from these root fibers as it grows over time, the amount of fiber required to extract oxygen will rise. The intensity of chlorophyll on the leaves can be determined by evaluating the quality of the plant and its nature. A more robust process is required considering urban expansion and human involvement is limited. To overcome these situations systems used to employ the latest IoT and microcontroller technologies. This study to control ecosystems introduce fuzzy logic controls and use a computer vision-based approach to computing plant greenness.
URI: http://rda.sliit.lk/handle/123456789/2821
ISSN: 2456-8880
Appears in Collections:Research Papers - Dept of Computer Systems Engineering
Research Papers - Open Access Research
Research Papers - SLIIT Staff Publications

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