Application of Unsupervised Algorithm for DWC using IOT

Abstract

Computing and Mechanical advancements today make the science as a part of our life, inducing technology into Agriculture will result in an efficient Agro-product. Our paper intends in designing a sway system for the progression of supplements of hydroponic plants, consequently utilizing Arduino microcontroller and constrained by a System. With the next support of an Arduino UNO R3 microcontroller to naturally control the progression of supplement arrangement with rationale. The sensors like MQ135 gas sensor, DHT22 temperature and humidity sensor, PH and EC sensors are related to Arduino UNO R3 board, is connected with the system. The generated values that are recorded should be stored into the database employing a process called "Data Acquisition". A comparative report is finished with generated and standard values of plant germination for the improved development of the hydroponic plant.

Keywords:DWC(deep water culture), DFC(deep flow culture), NFT(nutrient film technique), pH(potential of hydrogen), EC(electric conductivity), PWM(pulse width modulation), USB(universal serial bus), ICSP(in circuit serial programming), LED(light emitting diode), DATA ACQUISITION, RB(rice husk biochar), PL(alone or in combination with pertile).