Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

IoT Based Smart Farm Agriculture System for Farmers

Author : Bhagyashree Lambture 1 Revati M Wahul 2

Date of Publication :15th October 2020

Abstract: In 2050, the global population is estimated to be about 9.7 billion, as a result of which there will be great food demand. In order to meet these needs, it is necessary to increase the existing system of agriculture. It's fine, according to the traditional way of agriculture, but still it won't meet the world's entire requirements. Here applications of data mining techniques in estimation of yields and climate change are called to help the farmer make decisions for farming and gain the required economic return. A significant issue that can be beaten dependent on past experience is the issue of yield estimation. In this manner, a brief study of harvest yield forecast is proposed utilizing CNN system. Using Google API to access crop production patterns in response to climatic conditions such as rainfall, temperature, relative humidity, evaporation and sunshine etc. Crop prediction is a pre-condition, and prediction of disease is a post-condition for the collection of data from a field or area from a weather parameter sample. It lets farmers improve quality in decision making. And using this proposed system farmer can able to suitable crop with high yields.

Reference :

    1. Kwang Eun An, Young Ju Jeong, Dongmahn Seo and Sung Won Lee, “Improved Durability of Soil Humidity Sensor for Agricultural IoT Environments”, 2018 IEEE International Conference on Consumer Electronics. (ICCE).
    2. An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges Olakunle Elijah , IEEE, Tharek Abdul Rahman, Member, 2327-4662 May 31 2018 IEEE.
    3. M. R. Mohd Kassim, A. N. Harun and I. M. Yusoff, "Smart Agriculture Using Internet of Things," 2018 IEEE Conference on Open Systems (ICOS), Langkawi Island, Malaysia, 2018.
    4. U. Raza, P. Kulkarni, and M. Sooriyabandara, “Low power wide area networks: An overview,” IEEE Commun. Surveys Tuts 2017.
    5. Anıl Suat Terliksiz, D. Turgay Altılar, “Use of Deep Neural Networks for Crop Yield Prediction: A Case Study of Soybean Yield in Lauderdale County, Alabama, USA”. 2019 8th International Conference on Agro- Geoinformatics.
    6. Sukhesh Kothari,Hemlata, DipaliKadam, “Multidisciplinary Model for Smart Agriculture using Internet-of-Things (IoT), Sensors, CloudComputing, Mobile-Computing & Big-Data Analysis”, International Journal of Int.J.Computer Technology &Applications,Vol 6 (3),May-June 2019.
    7. Dr K. Prakash1 , Dr P. Saravanamoorthi2 , Mr R. Sathishkumar3, A Study of Image Processing in Agriculture, Int. J. Advanced Networking and Applications. (2017)
    8.  Adnan Mushtaq Ali Karol1 , Drushti Gulhane2 , Tejal Chandiwade3, Plant Disease Detection using CNN & Remedy, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, March 2019.
    9. Liqing Guo, Shubo Liu Heather Webb, Xiaq Ya, ” Internet Of Things Monitoring System Of Modern Eco- Agriculture Based On Cloud Computing”, 2019 IEEE.
    10. J. A. Manrique, J. S. Rueda-Rueda, and J. M. T. Portocarrero, “Contrasting Internet of Things and wireless sensor network from a conceptual overview,” in Proc. IEEE Int.Conf. Internet Things (iThings) IEEE
    11. Green Comput. Commun. (GreenCom) IEEE Cyber Phys. Soc. Comput. (CPSCom) IEEE Smart Data (Smart Data), Chengdu, China, Dec. 2016, pp. 252–257.
    12. C. Brewster, I. Roussaki, N. Kalatzis, K. Doolin, and K. Ellis, “IoT in agriculture: Designing a Europe-wide large- scale pilot,” IEEE Commun. Mag., vol. 55, no. 9, pp. 26– 33, Sep. 2017.
    13. IERC. (Mar. 2015). European Research Cluster on the Internet of Things- Outlook of IoT Activities in Europe. Accessed: Sep. 20, 2017.
    14. N. P. Sastra and D. M. Wiharta, “Environmental monitoring as an IoT application in building smart campus of Universitas Udayana,” in Proc.Int. Conf. Smart Green Technol. Elect. Inf. Syst. (ICSGTEIS), Oct. 2016, pp. 85–88.
    15. S. Wolfert, L. Ge, C. Verdouw, and M.-J. Bogaardt, “Big data in smart farming—A review,” Agricult. Syst., vol. 153, pp. 69–80, May 2017.
    16. Adams, R., Fleming, R., Chang, C., McCarl, B., and Rosenzweig, 1993 ―”Reassessment of the Economic Effects of Global Climate Change on U.S. Agriculture”, Unpublished: September.
    17. R.Glyer, D., and McCarl, B. 1989. "The Economic Effects of Climate Change on U. S. Agriculture: A Preliminary Assessment." In Smith, J., and Tirpak, D.eds., The Potential Effects of Global Climate Change on the United States. Washington, D.C.: USEPA.
    18. R.,Rosenzweig, C., Peart, R., Ritchie, J., McCarl,B. , Glyer, D., Curry, B., Jones, J., Boote, K., and Allen, H.1990."Global Climate Change and U. S. Agriculture."Nature.345 (6272, May): 219-224.
    19. Adaptation to Climate Change Issues of Longrun Sustainability." An Economic Research
    20. Barron, E. J. 1995."Advances in Predicting Global Warming. The Bridge (National Academy of Engineering). 25 (2, Summer): 10-15.

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