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Next Gen Farming: IoT in Smart Irrigation System
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | Jun 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2665 Next Gen Farming: IoT in Smart Irrigation System Sagar S. Wabale1, Shubhangi S. Wabale2 1Director, Sai Engineering Works, Ahmednagar, Maharashtra, India 2Asst. Professor, Shri Chhatrapati Shivaji Maharaj College of Engineering, Ahmednagar, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Day by day population is growing and hence resource demand. Agricultural sector will play vital role in resource management. Tofulfillthewaterneedforagriculture effective water management will be most important and crucial parameter. In today’s environment evolution in technology is continuously happening in agriculture sector too. Internet of Things (IoT) is most promising technique that can be used to make irrigation system smart. IoT is shifting agriculture sector from factual to quantative approach. Iot sensors are capable to provide all necessary information related to farm, soil, crop etc. IoT has number of benefits in agriculture like monitoring, analysis and crop management. These sensors provides real time data which helps to get proper analysis and hence efficient water managementcanbe done. This paper describes how IoT plays important role in making traditional irrigation system smart. It explains how data can be collected, analyzed and how this real time data is used to make smart irrigation system. The proposed system will help to manage water effectively, increase productivity. Key Words: Internet of Things (IoT), Sensor, Cloud computing, Arduino, Soil Moisture, Capacitance 1. INTRODUCTION What is Internet of Things (IoT)? Connecting daily routine things embedded with electronics hardware, sensors, and software to internet enabling them to collect and exchange data. The devise communicates over the internet without needing a person to initiates the communication. IoT is fast developing technology in sectors like Agriculture, Heath care, Manufacturing, Supply chain, Smart cities etc. Electronics hardware is continuously developingdaybyday [2, 3] due to this IoT becomes more popular. To get real time data in physical word sensors are playing most important role [5]. In recent years with increase in agriculture production new technologies and introduced in the sector. This advances in agricultural technology leads to concept smart farming. In 21st century farmers are able to access internet,GPS,sensors etc. In order to create the smart irrigation system lots of work done has been done on IoT. The IoT significantly transformed the agricultural environment. IoT is giving answers on water crisis, yield issue, productivity. This cutting edge technology has solutions to improve the productivity, water management etc. The intelligent system will monitor the crop growth as per the environmental conditions. [14, 15], the collected raw data is used to analyse the exact water requirement [4]. This raw data collection is done by using sensors. This collected data is stored on cloud and has tocomparewiththestandard crop data to generate exact need of water requirement for particular crop at particular day and time. The proposed concept focus on capacitive approach for soil moisture measurement. Use of IoT allows well planned irrigation scheduling by keeping mind the limited resources. 2. IOT TECHNOLOGIES RELATED TOAGRICULTURE Fig -1: IoT enabled system flow IoT enabled smart irrigation system has major components like physical structure of sensors and electronics hardware, collection of data, processing of gathered data, and last most important is analysis of data. The IoT enabled system must meet the sensor control while measuring the soil moisture, capacitance (Relevant approach), sensor nodeidentification, hardware controlled devices. This action can be done by software or mobile application linked tointernet.Thesystem should focus on primary aspects like monitoring and managing functions. IoT gives rise to lots of solutions in agriculture sector. Among these few need to be highlighted. 2.1 Cloud Computing It is the most important and crucial term while fulfilment of smart irrigation system. The software or mobile application based on cloud [6, 10] are used for accurate data processing.
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | Jun 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2666 2.2 Big data Sensor produces huge amount of data. From this data optimum is to be processed by big data analytics [7, 8]. 2.3 Agricultural Robots Agricultural robots are developed for various functions like pesticide spraying, planting crops etc. 3.TYPICALARCHITECTUREOFSMARTIRRIGATION SYSTEM Fig -2: Smart Irrigation System Framework The figure shows the framework of smart irrigation system. Sensors are installed in the farm. The installed soil moisture sensors measures the real time moisture contents from the soil. All soil moisture sensor will share moisture contents to the central receiver by wireless communication. Receiver is used to collect the data from all installed sensors. Receiver shares all received data continuously to the cloud with internet from GSM module or Wi-Fi. At backend data is analyzed and after comparison with the standard exact water requirement is calculated. As per the water required pump operation will be done that too using mobile application, call or by sending the SMS. 4. SOIL MOISTURE SENSORS Soil moisture control is critical factor in crop growth. Measurement and accurate monitoring of soil moisture will give better crops, increasein profitabilityand bringsefficient control on nutrients and other inputs. Soil moisture sensors helps farmers to understand what exactly is happening in the root zone of the crop. There are multiple approach to measure the soil moisture contents, among these two of them are briefed below. 4.1 Resistive sensors In this types of sensors change in resistance in measured to get moisture contents. The measured output voltage will have the inverse relation with moisture content. These sensors are cost effective with high surface to volume ratio; but not optimal for measurement below 5% pH [1]. 4.2 Capacitive sensors Soil moisturemeasurementreliesonthecapacitance.This sensor is composed of two metal plates separated by thin layer of non-conductive film. This thin layer of film attracts moisture and when moisture makes contacts with metal plates it creates the voltage change. These sensors are considered as more accurate and stable to produce results [12]. 5. PROPOSES HARDWARE 5.1 Arduino Arduino Nano is small board based on ATmega328p. It offers similar connectivity like Uno board. It is the easiest and cheapest to create new devices or to enhance existing devices as a part of the IoT applications. The main benefit of using Arduino forIoT is that the board can be programmed n number of times. It makes possible to make various projects by changing the code. The main differencebetweenNanoand Uno is the size. Uno size is double than the Nano. For programming micro USB is needed for Nano while for Uno USB is required. We prefer Nano for smart Irrigation application. 5.2 NodeMCU It is the cheapest IoT platform. Firmware is included which runs on the ESP8266. The NodeMCU is the combination of node and microcontroller unit. It is having in built Wi-Fi functionality. This is the main part of receiver section. Main benefit isitcanalsobeprogrammedbyArduino IDE. 5.3 HC-12 It is the wireless serial port communication module. It is multichannel embedded wireless data transmission module with wireless working frequency band is 433.4-473.0MHz. This module sends the moisture content data from sensor to receiver continuously. 6. USER INTERFACE Farmers can visualize, analyze and take control action with desktop based software, mobile application. As per today’s scenario mobile application is the best option to use as interface. In mobile app user can monitor plant growth, soil moisture content level, real time water requirement for particular crop. Also farmer will able to turn On/Off the pump using feature in application. The pump can also operate by making call or sending SMS. The multilingual mobile application will add more advantage to user interface.
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | Jun 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2667 6. CONCLUSION IoT plays major role in making agriculture industry smart.It is going to revolute the irrigation system. The proposed system will effectively manage the water requirement for crop. The effective water management will improve productivity, crop yield. The use of Arduino, NodeMCU will make system calibration much more flexible and easy. This all is going to make Smart Irrigation System as a mainpart of next generation farming. REFERENCES [1] Low-cost Soil Moisture SensorsBasedonInductiveCoils Tested on Different Sorts of Soils by Mar Parra, Lorena Parra, Jaime Lloret, Pedro V. Mauri and Josep V. Llinares [2] Zhao J. C., Zhang J. F., Feng Y., and Guo J. X., “The study and application of the IoT technology in agriculture,” 2010 3rd International ConferenceonComputerScience and Information Technology, Chengdu, pp. 462-465, 2010. [3] Yan-e D., “Design of intelligent agriculture management information system based on IoT,” 2011 Fourth International Conference on Intelligent Computation Technology and Automation, Shenzhen, Guangdong,pp. 1045-1049, 2011. [4] Wang C., Daneshmand M., Dohler M., Mao X., Hu R., and Wang H., “Guest Editorial-Special Issue on Internet of Things (IoT): Architecture,ProtocolsandServices,”IEEE Sensors Journal, vol. 13, no. 10, pp. 3505-3510, October 2013. [5] Ma J., Zhou X., Li S., and Li Z., “Connecting agriculture to the Internet of Things through sensor networks,” 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing, Dalian, pp. 184-187, 2011. [6] Zhang, X.; Cao, Z.; Dong,W. Overview of Edge Computing in the Agricultural Internet of Things: KeyTechnologies, Applications, Challenges. IEEE Access 2020, 8, 141748– 141761. [7] López, I.D.; Figueroa, A.; Corrales, J.C.Multi-Dimensional Data Preparation: A Process to Support Vulnerability Analysis and Climate Change Adaptation. IEEE Access 2020, 8, 87228–87242 [8] Wang C., Bi Z., and Da Xu L., “IoT and cloud computing in automation of assembly modeling systems,” IEEE Transactions on Industrial Informatics, vol.10,no.2, pp. 1426-1434, May 2014. [9] Sarkar C., Uttama Nambi S. N, A., Prasad R., Rahim A., Neisse R., and Baldini G., “DIAT: A Scalable Distributed Architecture for IoT,” IEEE Internet of Things Journal, vol. 2, no. 3, pp. 230-239, June 2015 [10] A. Rojas, “Smart Agriculture IoT with CloudComputing,” Rev. Hist. América, 2015. [11] Putjaika, Narayut, et al. "A control system in an intelligent farming by using Arduino technology." Student Project Conference (ICT-ISPC), 2016 Fifth ICT International. IEEE, 2016. [12] Capacitive Soil Moisture SensorTheory,Calibration,and Testing by Joshua HriskoMaker Portal LLCNew York, NYJuly 5, 2020 [13] Irrigation Automation using resistive soil moisture sensor by A. Selvaperumal & I. Muthuchamy in International Journal of Agricultural Science and Research (IJASR) ISSN(P): 2250-0057; ISSN(E): 2321- 0087 Vol. 7, Issue 1, Feb 2017, 143-148 [14] Hu X., and Qian S., “IoT application system with crop growth models in facility agriculture,” 2011 6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT), Seogwipo, pp. 129-133, 2011. [15] Bing F., “Research on the agriculture intelligent system based on IoT,” 2012 International Conference on Image Analysis and Signal Processing,Hangzhou,pp.1-4,2012.
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