Abstract
The project aims at autonomous monitoring of irrigation system in both large- and small-scale plantation estates with a view to eradicating the manual system which involves personal liability concerns and the ignorance of the field workers. Even sometimes the experienced people cannot assure how much fertilizers or water must be used for the maximum yield. Hence, our system will monitor the temperature, humidity, moisture content of the soil and other physical factors like presence of major pollutants in air like PM2.5, PM10, CO, NOx. The factors and the crop yield are compared with dataset of past surveys and will try to predict whether irrigation is necessary or not. With the help of this information, the rate of releasing water from pumps is decided and fed to a microcontroller system which supervises and controls the whole irrigation system. Besides, there is also provision to monitor plant growth in both longitudinally and horizontally.
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Dasgupta, A., Daruka, A., Pandey, A., Bose, A., Mukherjee, S., Saha, S. (2019). Smart Irrigation: IOT-Based Irrigation Monitoring System. In: Chakraborty, M., Chakrabarti, S., Balas, V., Mandal, J. (eds) Proceedings of International Ethical Hacking Conference 2018. Advances in Intelligent Systems and Computing, vol 811. Springer, Singapore. https://doi.org/10.1007/978-981-13-1544-2_32
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DOI: https://doi.org/10.1007/978-981-13-1544-2_32
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