Effect of Supplementary Cyan Light to Deep Red and Royal Blue Range Wavelength on the Cultivation of TAMARA F1 Pepper (Published)
This research was conducted to investigate effect of supplementary Cyan Light on growth characteristics of pepper. Three different light sources, cyan (500 nm), red (660 nm), royal blue (440 nm), in closed environmental condition are examined. For this purpose, a 3-section shelf was prepared including Tamara F1 type pepper seeds. Temperature, water, pH, electrical conductivity (EC), fertilizer and nutrient contents were controlled at requested value. First section was lighted 18 hours a day with composing 55% deep red, %25 royal blue and 20% cyan lights. Second section was lighted same hours with first section and, and second section was composed the 65% deep red and 35% royal blue lights. Same photosynthetic photon flux density (PPFD) of 360 µmol m-2s-1 was used at first and second section. The third section was lighted with sunlight in order to make a comparison with natural lighting. The experiment continued to the 55 days from seeding to harvest time. The experiment showed that; additional cyan effected on 28% more size (followed with fruit length) and 191% fruit weight. Also, there is no significant effect on plant trunk thickness and fruit number.
The techniques for climate control in greenhouse are to tune the crop needs and avoid unnecessary energy consumption. A greenhouse environment is an incredibly complex and dynamic environment. The use of Fuzzy Logic Controllers (FLCs) represents a powerful way to minimize and facilitate management of climate conditions of the modern greenhouse. Since the temperature of greenhouse was important factor that affects the crops growth and the yield, we have designed and investigated a computer based on direct fuzzy Controller for greenhouse temperature control system. In this study, we present the implementation of a fuzzy logic based control system for the regulation of climatic parameters under greenhouse using LabVIEW software through heating and cooling to ensure an exact range of temperature and humidity values. Some graphics user interfaces were developed, under LabVIEW software, for the real-time monitoring of the greenhouse system.
Implementation of Fuzzy Controller to Reduce Water Irrigation in Greenhouse Using LabVIEW (Published)
Plant cultivation in greenhouse is influenced by various factors, such as soil quality, water availability, and climatic conditions. Techniques have been developed either to adapt food crops to their environment or to adjust the environment to meet plant needs. In this paper, a fuzzy controller (FC) has been implemented for monitored drip irrigation duration to reduce water using as variables soil moisture degree and air temperature in greenhouse. Soil moisture degree can be detected by an electronic circuit based on a capacitive probe. The FC permits to irrigate at the right time, when the plant needs water and the soil water is insufficient. Sensors and actuators (pump and solenoid) are installed and connected to a PC via a data acquisition card NI PCI 6221. A graphical user interface was developed using LabVIEW to acquire data and monitor drip irrigation station.