2. Introduction
• Hydroponics is one of the cultivation methods that uses water as a plant
growth medium.
• In this technique, a mineral solution is added to the water solvent, which
enables the process of nutrient uptake by the plant.
• Several important parameters need to be observed to use hydroponic
cultivation methods such as temperature, humidity, water, and nutrient
requirements.
• Sunlight is also needed for the process of photosynthesis to take place.
• This research uses hydroponic techniques in a hydroponic growth space,
with LED growth lights as an alternative to sunlight because the space is
covered without sunlight.
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3. Introduction
• Monitoring of the output in the box was detected using a temperature
sensor, a humidity sensor, an ultrasound sensor to detect the height of the
plant, and a water level sensor with the height of the water measured as
the plant medium.
• The sensor measurement results in the hydroponic growth chamber are
described as follows: the fan cooler operates when the temperature is >
300 C, and the humidity > 60%.
• The water pump works when the water level is less than 50% of the set
point.
• Control on the lights was carried out with the LDR sensors each reaching a
setting point of >500 in bright conditions, and <500 in dark conditions. The
average update / data time received in the web is 2.4 seconds.
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4. Literature Survey
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Sr No Publication Title with authors Publicati
on Year
1 IoT based Hydroponics monitoring system (Jay eta
Das, Paras Chawla, Gagan Jot)
2021
2 SensorStipulation with THAM Index for Smart
Agriculture Decision-Making IoT System (Mekala,
M.S., Viswanathan)
2020
3 An Automated Hydroponics System Based on
Mobile Application (Kunyanuth Kularbphettong,
Udomlux Ampant, and Nutthaphol Kongrodj)
2019
5. Problem Statement
• The traditional methods involved in making a composite bin is done
by using chemicals. Where a set of substrates are added to a well or a
dig in the soil. In existing method implementing only water spraying
system for agriculture. All operation based on manually. There is no
automatic mechanism for protecting from sunlight. Time consuming,
Needs manual labor, Possibility of health disorders for workers who
are involved.
• To overcome this drawback, we are going to implement Hydrophonic
farming based on IOT
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6. Objectives
• To automate all operations in farming.
• To reduce manpower
• To reduce time
• To reduce health disorders for workers who work in farm.
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8. System Working
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• Figure shows a block diagram of the system and describes the design of
system control and monitoring which consists of the following part: input,
microcontroller, and output.
• Inputs are interfaced to Arduino as data processing.
• Inputs consist of wifi module esp8266, DHT11 sensor, LDR sensor, and
water level sensor, and output of the system are fan, LED bulb lamp, and
water pump.
• The proposed system implemented is used to report the detailed about
smart gardening mechanism.
• The water is pumped from the main tank to the automatic nutrient mixing
tank, the water pump stops pumping once the water level is reached. Here
the water is mixed with the nutrients inappropriate proportions according
to selected crop.
9. System Working
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• After the completion of this process the user is notified through the sensor.
• The nutrient rich water is then flowed through pH tank with the help of
solenoid valve. The user is notified once the pH tank is filled with the
nutrient rich water.
• The pH tank has a pH sensor which monitors the pH of the water. pH
Sensor - In Hydroponics system, pH sensor plays a prominent role.
• The pH of nutrient enriched water must be taken care of. Readings are
taken from the water and will track the effective pH. Water Level Sensor —
To get to know the level of nutrient enriched water this sensor is used. The
level of water in the hydroponic system can be noticed by using this sensor.
10. System Requirements
• Hardware Requirements:
• Arduino UNO
• WiFi Module
• DHT11 Sensor
• LDR Sensor
• Water Level Sensor
• Fan
• LED Lamp
• Water Pump
• Regulated Power Supply
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12. Project Timeline chart
The project plan until the design phase over the course of 12
weeks is shown in Figure 1.1. The phases of the project are
color coded in the figure. The group formation, domain
submission, title submission, title finalization and the one page
proposal submission was in done by the sixth week. Later, the
Problem Statement and Objectives were finalized in the next
week. The Literature Review with the reference papers and
designing the system architecture was done by the end of the
ninth week. After that, the model diagrams were designed and
the report was completed by the end of the 12th week.
16. Advantages
• Improvement in the use efficiency of inputs(Soil, Water, Fertilizers,
Pesticides, etc.)
• Reduced cost of production
• Increased profitability
• Sustainability
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17. Conclusion
• The health condition of the crops will continuously be monitored with
the help of data that are collected by the sensors and actuators. Thus,
this hydroponic system can be adopted in any environmental
conditions and it is a fully automated setup that can be operated
through IOT. Power management in IoT deployment is an essential
and priority given thing.
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18. Future Scope
• More sensors and effective arrangement of the network could draw
more power. So, in order to reduce power consumption here, in
future solar energy will be utilized as an alternative power source. So,
with help of solar energy and a good sensor network,
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19. References
• Jay eta Das, Paras Chawla, Gagan Jot, IoT based Hydroponics monitoring system,
International Journal of advance science and technology, Vol.29, No. lOS, 2020,
pp.1679-1687. 2021
• Kunyanuth Kularbphettong, Udomlux Ampant, and Nutthaphol Kongrodj, An
Automated Hydroponics System Based on Mobile Application, International
Journal of Information and Education Technology,Vol. 9, No. 8, August 2019.
• Mekala, M.S., Viswanathan, P. (t,n): SensorStipulation with THAM Index for Smart
Agriculture Decision-Making IoT System. Wireless PersCommun 111, 1909-1940
(2020).
• Sudharsan S, Vargunan R, Vignesh Raj S, Selvanayagan S, Dr. Ponmurugan P, IoT
Based Automated Hydroponic Cultivation System, International Journal of
Applied Engineering Research ISSN 0973-4562 Volume 14, Number 11, 2019
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