Abstract
Watering to plants or on whole field of crop is most important and pain taking task on daily basis. Quantity of water required by plant is one of the effective parameter for greenhouse effect on plants. To make this challenging work to informal, some analytical and historical data is required so that irrigation cycle of crop may become easy task for farmers. This project is made with the use of Node MCU board; consist of ESP8266 Microcontroller with in-built Wi-Fi module. Soil Moisture sensor is set in the field, which keeps track of moisture level in field soil. That collected data are sent over cloud to make people’s nurturing activity pleased and tranquil. Data from the cloud is collected and irrigation related graph report for future use for farmer is made to take decision about which crop is to be sown. “Smart Irrigation Analysis” is an IoT application which provides remote analysis of irrigation on the field to the end user which is better than traditional irrigation of crop on field. Smart irrigation application has an automated recurring watering schedule; sensing and analysis of water used for crop and also senses moisture level giving real time data.
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Acknowledgements
We have worked on this project for over 4 months. While working on this project we have come to realize the actual set of skills necessary to work in professional development environment. Making a product which includes both hardware and software is no small task considering the numerous details that have to be taken care of. We have put our best in the making of this project. It is effect of many hands and uncountable hours from many people. Our acknowledgements go to those who helped through their suggestion, comments, guidance, and feedback. We express a deep sense of gratitude to the Head of the Computer Department, Prof. Amit Ganatra for providing such environment where we can implement our work. Moreover, we would like to thank our guide Prof. Chintan M. Bhatt and Prof. Ritesh P. Patel who has helped us throughout our project development.
We also convey our thanks to Prof. Jignesh Patoliya and Prof. Hitesh Patel (EC Department) as they gave us knowledge of different embedded devices and their functionality and utility in Internet of Things.
Last but not the least, we would also like to thank our friends and classmates, who have co-Operated during the preparation of our report and without them this project has not been possible. Their ideas helped us a lot to improve our project report.
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Rabadiya Kinjal, A., Shivangi Patel, B., Chintan Bhatt, C. (2018). Smart Irrigation: Towards Next Generation Agriculture. In: Dey, N., Hassanien, A., Bhatt, C., Ashour, A., Satapathy, S. (eds) Internet of Things and Big Data Analytics Toward Next-Generation Intelligence. Studies in Big Data, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-319-60435-0_11
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