1
Postgraduate, Department of Computer Science and Engineering, Boston University, Massachusetts, 02139, US
(ajithkrishna1997@gmail.com)
2
Assistant Professor, Swami Keshvan and Institute of Technology, Management & Gramothan, Department of Computer Science and Engineering, Jaipur 302017, India
(iiita.ankit@gmail.com )
3
Assistant Professor (SG), Department of Computer Science and Engineering,Rajalakshmi Engineering College, Chennai, 502345, India
(vijay.k@rajalakshmi.edu.in)
Abstract :
Agriculture is the primary occupation in our country for ages. But now due to migration of people from rural to urban there is hindrance in agriculture. So, to overcome this problem we go for smart agriculture techniques using IoT. This paper includes various features like GPS based remote controlled monitoring, moisture & temperature sensing, intruders scaring, security, leaf wetness and proper irrigation facilities. It makes use of wireless sensor networks for noting the soil properties and environmental factors continuously. Various sensor nodes are deployed at different locations in the farm. Controlling these parameters are through any remote device or internet services and the operations are performed by interfacing sensors, Wi-Fi, camera with microcontroller. This concept is created as a product and given to the farmer’s welfare. AI Solution for Farmers perform soil analysis, climate analysis, and productivity analysis using linear regression. It helps farmers to understand about the crop to be sown as well as the factors affecting their productivity with the help of different types of graphs and tables. Farmers need not to do anything on the application as it is highly interactive as by using speech API.
Keywords :
IoT , Sensors , Raspberry-PI , Microcontroller , Wi-Fi.
References :
[1] Xu, L.D., et al., Internet of Things in industry: a survey. IEEE Trans. Ind. Inf. 10(4), 2233–2243 (2014)
[2] Pujari, J.D., et al.: Image processing-based detection of Fungai diseases in plants. Proc. Comput. Sci. 46, 1802–1808 (2015). ISSN: 1877-0509
[3] Machina: Accessed on 1 Oct 2017 [On-line]. Available: https://machinaresearch.com/reports
[4] Tpngke, F.: Smart agriculture based on cloud computing and IoT. J. Conver. Inf. Technol 8(2) (2013)
[5] Ngu, A.H., Gutierrez, M., Metsis, V., Nepal, S., Sheng, Q.Z., IoT middleware: a survey on issues and enabling technologies. IEEE Int. Things J. 4(1), 1–20 (2017)
[6] Liu, C.H., Yang, B., Liu, T., Efficient naming, addressing and profile services in Internet of Things sensory envirnoments. Ad Hoc Netw. 18, 85–101 (2014)
[7] Atzori, L., Lera, A., Morabito, G., The Internet of Things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)
[8] Yan-e, D.: Design of intelligent agriculture management information system based on IoT. In: 2011 Fourth International Conference on Intelligent Computation Technology and Automation, vol. 1, pp. 1045–1049, Mar 2011
[9] Wu, Z., Li, S., Yu, M., Wu, J., The actuality of agriculture Internet of Things for applying and popularizing in China. In: Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics (EII’15) (2015)
[10] Parameswaran, G., Sivaprasath, K., Arduino based smart drip irrigation system using Internet of Things. Int. J. Eng. Sci. Comput. 6, 5518–5521 (2016). https://doi.org/10.4010/2016.1348
[11] Muhammad, Abubakr, Haider, Bilal, Ahmad, Zahoor, IoT enabled analysis of irrigation rosters in the Indus basin irrigation system. Proc. Eng. 154, 229–235 (2016)
[12] Fang, S., Da Xu, L., Zhu, Y., Ahati, J., Pei, H., Yan, J., Liu, Z., An integrated system for regional environmental monitoring and management based on Internet of Things. IEEE Trans. Ind. Inf. 10(2), 1596–1605 (2014)
[13] Dursun, M., Ozden, S.A., A wireless application of drip irrigation automation supported by soil moisture sensors. Sci. Res. Essays 6, 1573–1582 (2011)
[14] Khattab, A., Abdelgawad, A., Yelmarthi, K., Design and implementation of a cloud-based IoT scheme for precision agriculture. In: 28th International Conference on Microelectronics, pp. 201–204 (2016)
[15] Kodali, R.K., Sahu, A., An IoT based weather information prototype using WeMos. In: 2nd International Conference on Contemporary Computing and Informatics, pp. 612–616 (2013)
[16] Bing, F.: The research of IOT of agriculture based on three layers architecture. In: 2nd International Conference on Cloud Computing and Internet of Things, pp. 162–165 (2016)
[17] Edwards-Murphy, F., Magno, M., Whelan, P.M., O’Halloran, J., Popovici, E.M., B+WSN: smart beehive with preliminary decision tree analysis for agriculture and honey bee health monitoring. Comput. Electron. Agric. 124, 211–219 (2016). https://doi.org/10.1016/j.compag.2016.04.008
[18] Ding, Q., Ma, D., Li, D., Zhao, L., Design and implementation of a sensors node oriented water quality monitoring in aquaculture. Sens. Lett. 8(1), 70–74 (2010)
[19] Bang, J., Lee, I., Noh, M., Lim, J., Oh, H., Design and implementation of a smart control system for poultry Breeding’s optimal LED environment. Int. J. Control Autom. 7(2), 99–108 (2014). https://doi.org/10.14257/ijca.2014.7.2.10
[20] Vernandhes, W., Salahuddin, N.S., Kowanda, A., Sari, S.P., Smart aquaponic with monitoring and control system based on IoT. In: 2017 Second International Conference on Informatics and Computing (ICIC), pp. 1–6. IEEE (2017)
[21] Brewster, C., et al., IoT in agriculture: designing a Europe-wide large-scale pilot. IEEE Commun. Mag. 55(9), 26–33 (2017)
[22] Yang, K., Liu, H., Wang, P., Meng, Z., Chen, J., Convolutional neural network-based automatic image recognition for agricultural machinery. Int. J. Agric. Biol. Eng. 11(4), 200–206 (2018)
[23] Karim, F., Karim, F., Monitoring system using web of things in precision agriculture. Proc. Comput. Sci. 110, 402–409 (2017)
[24] Johannes, A., et al., Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case. Comput. Electron. Agric. 138, 200–209 (2017). ISSN: 0168-1699. https://doi.org/10.1016/j.compag.2017.04.013.
[25] Mr. Ankit Kumar, Dr. Dinesh Goyal, Mr. Pankaj Dadheech, (2018), “A Novel Framework for Performance Optimization of Routing Protocol in VANET Network”, Journal of Advanced Research in Dynamical & Control Systems, Vol. 10, 02-Special Issue, 2018, pp-2110-2121, ISSN: 1943-023X.
[26] Mr. Pankaj Dadheech, Dr. Dinesh Goyal, Dr. Sumit Srivastava, Mr. Ankit Kumar, (2018), “A Scalable Data Processing Using Hadoop & MapReduce for Big Data”, Journal of Advanced Research in Dynamical & Control Systems, Vol. 10, 02-Special Issue, 2018, pp-2099-2109, ISSN: 1943-023X.
[27] Dhaka, V. S., Poonia, R. C., & Raja, L. (2014),“The Realistic Mobility Evaluation of Vehicular Ad-Hoc Network for Indian Automotive Networks”, International Journal of Ad hoc, Sensor & Ubiquitous Computing, 5(2), 1.
[28] Poonia, R. C., & Raja, L. (2018), “On-Demand Routing Protocols for Vehicular Cloud Computing”, Vehicular Cloud Computing for Traffic Management and Systems, (pp. 151-177). IGI Global.
[29] Pankaj Dadheech, Dinesh Goyal, Sumit Srivastava & C. M. Choudhary, (2018), “An Efficient Approach for Big Data Processing Using Spatial Boolean Queries”, Journal of Statistics and Management Systems (JSMS), 21:4, 583-591.
[30] A. Kumar and M. Sinha (2014), "Overview on vehicular ad hoc network and its security issues," International Conference on Computing for Sustainable Global Development (INDIACom), pp. 792-797. doi: 10.1109/IndiaCom.2014.6828071.
[31] Pankaj Dadheech, Ankit Kumar, Chothmal Choudhary, Mahender Kumar Beniwal, Sanwta Ram Dogiwal & Basant Agarwal (2019), “An Enhanced 4-Way Technique Using Cookies for Robust Authentication Process in Wireless Network”, Journal of Statistics and Management Systems, 22:4, 773-782, DOI: 10.1080/09720510.2019.1609557.
[32] Ankit Kumar, Pankaj Dadheech, Vijander Singh, Linesh Raja & Ramesh C. Poonia (2019), “An Enhanced Quantum Key Distribution Protocol for Security Authentication”, Journal of Discrete Mathematical Sciences and Cryptography, 22:4, 499-507, DOI: 10.1080/09720529.2019.1637154.
[33] Ankit Kumar, Pankaj Dadheech, Vijander Singh, Ramesh C. Poonia & Linesh Raja (2019), “An Improved Quantum Key Distribution Protocol for Verification”, Journal of Discrete Mathematical Sciences and Cryptography, 22:4, 491-498, DOI: 10.1080/09720529.2019.1637153.
[34] Ankit Kumar and Madhavi Sinha (2019), “Design and analysis of an improved AODV protocol for black hole and flooding attack in vehicular ad-hoc network (VANET)”, Journal of Discrete Mathematical Sciences and Cryptography, 22:4, 453-463, DOI: 10.1080/09720529.2019.1637151.
| Style | # |
|---|---|
| MLA | Ajith Krishna R, Ankit Kumar, Vijay K. "An Automated Optimize Utilization of Water and Crop Monitoring in Agriculture Using IoT." Journal of Cognitive Human-Computer Interaction, Vol. 1, No. 1, 2021 ,PP. 37-45 (Doi : https://doi.org/10.54216/JCHCI.010105) |
| APA | Ajith Krishna R, Ankit Kumar, Vijay K. (2021). An Automated Optimize Utilization of Water and Crop Monitoring in Agriculture Using IoT. Journal of Journal of Cognitive Human-Computer Interaction, 1 ( 1 ), 37-45 (Doi : https://doi.org/10.54216/JCHCI.010105) |
| Chicago | Ajith Krishna R, Ankit Kumar, Vijay K. "An Automated Optimize Utilization of Water and Crop Monitoring in Agriculture Using IoT." Journal of Journal of Cognitive Human-Computer Interaction, 1 no. 1 (2021): 37-45 (Doi : https://doi.org/10.54216/JCHCI.010105) |
| Harvard | Ajith Krishna R, Ankit Kumar, Vijay K. (2021). An Automated Optimize Utilization of Water and Crop Monitoring in Agriculture Using IoT. Journal of Journal of Cognitive Human-Computer Interaction, 1 ( 1 ), 37-45 (Doi : https://doi.org/10.54216/JCHCI.010105) |
| Vancouver | Ajith Krishna R, Ankit Kumar, Vijay K. An Automated Optimize Utilization of Water and Crop Monitoring in Agriculture Using IoT. Journal of Journal of Cognitive Human-Computer Interaction, (2021); 1 ( 1 ): 37-45 (Doi : https://doi.org/10.54216/JCHCI.010105) |
| IEEE | Ajith Krishna R, Ankit Kumar, Vijay K, An Automated Optimize Utilization of Water and Crop Monitoring in Agriculture Using IoT, Journal of Journal of Cognitive Human-Computer Interaction, Vol. 1 , No. 1 , (2021) : 37-45 (Doi : https://doi.org/10.54216/JCHCI.010105) |