Solar powered smart agriculture monitoring system 2.pptx

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1. SOLAR POWERED SMART AGRICULTURE MONITERING SYSTEM GUIDED BY SUBMIIED BY Major Project Final Presentation (20 22 ), Department of ELECTRICAL AND ELECTRONICS EN GINERING SOLAR POWERED SMART AGRICULTURE MONITERING SYSTEM SUBMITTED BY :. GUIDED BY :. KANAN KUMAR DAS PURNA CHANDRA SAHOO : 1921299102 MANISH KUMAR NAG : 1921299089 MANISH SWAIN : 1921299090 MANOJ KUMAR DEURI : 192129992 PRAVAT KUMAR JENA: 1921299100 RAJESH SARDAR : 1921299103 RRAKESH KUMAR MUDULI : 192129910

2. Overview Introduction Components Literature survey And Background study Working of smart agriculture monitoring system Block diagram of smart agriculture monitoring system Advantages Applications Result Conclusion Reference 2

3. Introduction The main aim of this project is to automate the agriculture system using a multi-modal technique and real-time monitoring of the field. A proper method is to be implemented for the irrigation system because of lack of rain and scarcity of water in soil. Using the automated irrigation system, we can prove that the use of water can be reduced for different agricultural usage. For this purpose, automatic plant irrigation system is designed using moisture sensor and solar energy. The proposed system derives power from sunlight through photovoltaic cells. Hence, the system cannot depend on the electricity. In this proposed model by using sunlight energy, Power the irrigation pump. The main objective of this project is to provide an automatic irrigation system thereby saving time, money & power of the farmer. 3

4. Literature Survey And Background Study In GSM based Automated Irrigation Control using Rain gun Irrigation System by R.Suresh , S.Gopinath , K.Govindaraju , T.Devika , N.Suthanthira Vanitha, system is automated microcontroller based rain gun irrigation system. Irrigation is done only when it becomes necessary to water the fields thus saving large quantity of water. In Automated Wireless Watering System (AWWS) by Chetana A.Kestikar , Rutuja M.Bhavsar , the system is facilitated by providing PC control and mobile control for monitoring and controlling watering activity. 4

5. Components Arduino microcontroller Wi-Fi module(ESP8266) Soil sensor Rain sensor Moisture sensor module(LM393 module) Temperature and humidity sensor(DHT11) Light Dependent Resistor(LDR) Grow light LED DC water pump(9v-12v) Single relay module(5v) Battery (9v-12v) Solar panel LCD module(16*2) 10 K-ohm resistor(2 units) Buzzer 5

6. . 6 Fig 2-Battery Fig 4-LCD module Fig 5-Temperature and Humidity sensor Fig1-Solar pannel Fig 3-DC Water pump

7. . 7 Fig 6-Arduino microcontroller Fig 7-Wi-Fi module(ESP8266) Fig 9-Rain sensor Fig10-Soil sensor Fig8-Moisture sensor module(LM393)

8. . 8 Fig11-Light Dependent Resistor Fig12-Grow Light LED Fig14-10K-ohm resistor Fig15-Buzzer Fig13-Single relay module

9. Working Of Smart Agriculture Monitoring System The proposed system having two working units: 1. Solar Pumping unit. 2. Smart Irrigation unit. 9

10. Block Diagram Of Smart Agriculture Monitoring System 10 Fig16-block diagram of smart agriculture monitoring system LCD Micro-controller LED Lights Wi-Fi module Rain sensor-  Moisture sensor Soil sensor-  Moisture sensor Temperature and Humidity LDR To mobile Solar panel Battery 12 Water Pump Buzzer

11. 11 Fig17-Connection of Solar powered smart agriculture monitoring system

12. . 12 Fig18 -solar powered smart agriculture monitoring system

13. Advantages Reduced dependence on foreign oil and fossil fuels. Return on investment unlike paying for utility bills. Virtually no maintenance as solar panels last over 30 years. This solar powered automated irrigation system does not require man power for operation. This leads to saving of water by avoiding excess irrigation. 13

14. Applications Main application of the proposed system is for irrigation of agriculture fields. Even we can apply this system in agriculture research stations, greenhouses where high precision soil moisture control is required. Use of solar energy in the proposed system allows us to use this system in remote areas where electricity is not available. The main applications for this project are for farmers and gardeners who do not have abundant time to water their crops/plants. 14

15. Result Implementing the proposed system there are various benefits for the government and the farmers. By using the automatic irrigation system it optimizes the usage of water by reducing wastage and reduce the human intervention for farmers. The excess energy produced using solar panels can also be given to the grid with small modifications in the system circuit, which can be a source of the revenue of the farmer, thus encouraging farming in India and same time giving a solution for energy crisis. This system demonstrates the feasibility and application of using solar PV to provide energy for the pumping requirements for sprinkler irrigation. Even though there is a high capital investment required for this system to be implemented, the overall benefits are high and in long run this system is economical. 15

16. Conclusion Thus the “ Automated Agriculture monitoring system based on Arduino ” has been designed and tested successfully. The smart agriculture using Wi-Fi network has been experimentally proven to work satisfactorily by monitoring the values of humidity and temperature successfully. Through the local Wi-Fi control the motor in the field. It also stores the sensor parameters in the timely manner. This will help the user to analyze the conditions of various parameters in the field anytime anywhere. Then control or maintain the parameters of field properly. Finally, we conclude that automatic irrigation system is more efficient than scheduled irrigation process. 16

17. Reference 1. Implementation of iot in smart irrigation system using arduino processor, International Journal of Civil Engineering and Technology (IJCIET) Volume 8, Issue 10, October 2017, pp. 1304–1314, Article ID: IJCIET_08_10_133. 2. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470. 3. International Journal of Scientific & Engineering Research, Volume 4, Issue 8, August-2013 1588 ISSN 2229-5518. M. Ayaz , M. Ammad-Uddin , Z. Sharif, A. Mansour and E. -H. M. Aggoune , "Internet-of-Things ( IoT )-Based Smart Agriculture: Toward Making the Fields Talk," in  IEEE Access , vol. 7, pp. 129551-129583, 2019, doi : 10.1109/ACCESS.2019.2932609. S. I. Hassan, M. M. Alam , U. Illahi , M. A. Al Ghamdi , S. H. Almotiri and M. M. Su’ud , "A Systematic Review on Monitoring and Advanced Control Strategies in Smart Agriculture," in  IEEE Access , vol. 9, pp. 32517-32548, 2021, doi : 10.1109/ACCESS.2021.3057865. 17

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