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Adoption of Smart Agriculture Using IOT: A Solution for Optimal Soil Decision Tree Making

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Intelligent Sustainable Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 334))

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Abstract

Agriculture farming is the essential wellspring of work to around half and above the percentage of our national’s population. During 2019–2020 harvesting data shows, food grain production was assessed to arrive at a best of 295.67 million tons (MT). In 2020–21, Ministry of Agriculture department is focusing on food production will be predicted as of 298 MT. Our nation has the biggest livestock populace of around 535.78 million and it shows approximately 31% of the total demography in the world. To fulfill this demand, farmers and farming organizations are turning to the Internet of Things for investigation and more prominent creation abilities. The Internet of Things (IoT) is set to push the eventual fate of cultivating to the following level. Smart agriculture is as of now turning out to be more normal spot among farmers, and innovative cultivating is rapidly turning into the standard gratitude to rural mechanism and sensors. With the expansion in the requests and the requirement for reasonable agriculture, it is getting truly vital for farmers and the related partners to put a great deal in information and more refined machines and devices.

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References

  1. Haldar, N., Banerjee, K.G., Devmalya, J.; An automated scheme for precision agriculture through data acquisition and monitoring system using multiple sensors network. IJCA Spec. Issue “2nd Natl. Conf. Commun. Sens. Network, pp. 19–24 (2011)

    Google Scholar 

  2. Sophocleous, M.: IoT & Thick-Film Technology for Underground Sensors in Agriculture, 2016 (Online). Available: http://www.sensorsmag.com/components/iot-thick-film-technology-for-underground-sensors-agriculture

  3. Zhang, N., Wang, M., Wang, N.: Precision agriculture—a worldwide overview. Comput. Electron. Agric. 36, 113–132 (2002)

    Article  Google Scholar 

  4. Sensors & Systems: Precision Agriculture: Sensors Drive Agricultural Efficiency, 2013. http://sensorsandsystems.com/precision-agriculture-sensors-drive-agricultural-efficiency

  5. Institute of Agriculture and Natural Resources: Soil and Crop Sensing, 2003 (Online). Available: http://cropwatch.unl.edu/ssm/sensing

  6. Sathish, C., Srinivasan, K.: Smart farming—challenges and their solution on agriculture using IOT. Ann. R.S.C.B. 25(5), 3983–3996 (2021)

    Google Scholar 

  7. Ho, C.K., Hughes, R.C.: In-situ chemiresistor sensor package for real-time detection of volatile organic compounds in soil and groundwater. Sensors 2, 23–34 (2002)

    Article  Google Scholar 

  8. Kim, H.J., Sudduth, K., Hummel, J.W.: Soil macronutrient sensing for precision agriculture. J. Environ. Monit. 11(10), 1810–1824 (2009)

    Article  Google Scholar 

  9. Bratov, A., Abramova, N., Ipatov, A.: Recent trends in potentiometric sensor arrays—a review. Anal. Chim. Acta 678(2), 149–159 (2010)

    Article  Google Scholar 

  10. Anuradha, M.R., Raghunandan, A.: Smart techniques employed for monitoring of agricultural parameters. Int. J. Sci. Res. 6(4), 1832–1841 (2017)

    Google Scholar 

  11. Kumar, S.S., Babankumar, Thakur, R., Kumar, M.: Soil pH sensing techniques and technologies—a review. Int. J. Adv. Res. Electr., Electron. Instrum. Energy 4(5), 4452–4456 (2015)

    Google Scholar 

  12. Bongiovanni, R., Lowenberg-Deboer, J.: Precision agriculture and sustainability. Precis. Agric. 5, 359–387 (2004)

    Article  Google Scholar 

  13. Adamchuk, V.I., Rossel, R.A.V., Sudduth, K.A., Lammers, P.S.: Sensor fusion for precision agriculture. In: Sensor Fusion—Foundation and Applications. Croatia, 2011

    Google Scholar 

  14. Alber, K.S., Cox, J.A., Kulesza, P.J.: Solid-state amperometric sensors for gas phase analytes: a review of recent advances. Electro analysis 9(2), 97–101 (1997)

    Article  Google Scholar 

  15. Liu, Y., Zhang, C., Zhu, P.: The temperature humidity monitoring system of soil based on wireless sensor networks. In: 2011 International Conference on Electric Information and Control Engineering, pp. 1850–1853, (2011)

    Google Scholar 

  16. Sirisha, D., Venkateswaramma, B., Srikanth, M., Anil Babu, A.: Wireless sensor based remote controlled agriculture monitoring system using ZigBee. SSRG Int. J. Electron. Commun. Eng. 2(4), 22–26 (2015)

    Google Scholar 

  17. Yadav, V., Rupika, R., Jhalak, N.: Big data meets small sensors in precision agriculture. Int. J. Comput. Appl. 1–4 (2015)

    Google Scholar 

  18. Surface Optics Corporation: Precision Agriculture and Hyper spectral Sensors: Monitoring against Drought, Disease, and Nutrient Stress, 2014 (Online). Available: https://surfaceoptics.com/applications/precision-agriculture-hyperspectral-sensors

  19. TongKe, F.: Smart agriculture based on cloud computing and IOT. J. Convergence Inf. Technol. 8(2), 210–216 (2013)

    Google Scholar 

  20. Ma, J., Zhou, X., Li, S., & Li, Z.: Connecting agriculture to the internet of things through sensor networks. In: 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing, pp. 184–187, IEEE (2011)

    Google Scholar 

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Sathish, C., Srinivasan, K. (2022). Adoption of Smart Agriculture Using IOT: A Solution for Optimal Soil Decision Tree Making. In: Nagar, A.K., Jat, D.S., Marín-Raventós, G., Mishra, D.K. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 334. Springer, Singapore. https://doi.org/10.1007/978-981-16-6369-7_49

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