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Title: :  Environment Monitoring for Agricultural Application using IoT and Predicting Crop Yield
PaperId: :  14595
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 3 2021
DUI:    16.0415/IJARIIE-14595
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sardendu PandeyLate G. N. Sapkal College of Engineering, Nashik
Shubham KumbharLate G. N. Sapkal College of Engineering, Nashik
Shrikant ShirsathLate G. N. Sapkal College of Engineering, Nashik
Nikhil MahajanLate G. N. Sapkal College of Engineering, Nashik
Prof. J. V. Shinde5Late G. N. Sapkal College of Engineering, Nashik

Abstract

computer engineering
Internet of Things, Wi-Fi, ESP32 Wi-Fi module, sensor node, Data Mining.
Nowadays, Internet is facing an exponential increase in the number of electronic devices interfaced through it. Previously, there is a limit of connecting only mobile and PCs (personal computer) with the internet but now millions of devices can be connected using the concept of IoT (internet of things). Hence, IoT can communicate data between machine to machine and the data that is previously available to private server now easily available to the internet so that it can be accessed efficiently. This system shows the increase in the usage of IoT in monitoring like applications. Smart farming is the technique which intend to provide all the necessary resources for the specified amount of time. These resources required are light intensity, ambient temperature required, relative humidity, soil moisture content, pH reading of the soil. The central idea is to sense all these parameters one by one and take the final decision accordingly. A sensor node should be developed for sensing all the required resources parameters and subsequently send the data to the cloud for further processing. After getting all the required resources values our final aim is to predict the crop production using various data mining techniques. As the human lives are primarily depended on the food resources, the agricultural process needs to be efficient, and this efficiency can be enhanced if there is an accurate number of resources. By getting the accurate number of resources, Data mining techniques such as Random Forest, KNN, SVM are used to analyze the crop production in advance such that farmer always have an upper hand on it and by comparing with the previous trend he will be able to detect which kind of parameter is accurate and which is not. A User defined site is designed to monitor all these values of agricultural process.

Citations

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IJARIIE Sardendu Pandey, Shubham Kumbhar, Shrikant Shirsath, Nikhil Mahajan, and Prof. J. V. Shinde5. "Environment Monitoring for Agricultural Application using IoT and Predicting Crop Yield" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 3 2021 Page 2369-2371
MLA Sardendu Pandey, Shubham Kumbhar, Shrikant Shirsath, Nikhil Mahajan, and Prof. J. V. Shinde5. "Environment Monitoring for Agricultural Application using IoT and Predicting Crop Yield." International Journal Of Advance Research And Innovative Ideas In Education 7.3(2021) : 2369-2371.
APA Sardendu Pandey, Shubham Kumbhar, Shrikant Shirsath, Nikhil Mahajan, & Prof. J. V. Shinde5. (2021). Environment Monitoring for Agricultural Application using IoT and Predicting Crop Yield. International Journal Of Advance Research And Innovative Ideas In Education, 7(3), 2369-2371.
Chicago Sardendu Pandey, Shubham Kumbhar, Shrikant Shirsath, Nikhil Mahajan, and Prof. J. V. Shinde5. "Environment Monitoring for Agricultural Application using IoT and Predicting Crop Yield." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 3 (2021) : 2369-2371.
Oxford Sardendu Pandey, Shubham Kumbhar, Shrikant Shirsath, Nikhil Mahajan, and Prof. J. V. Shinde5. 'Environment Monitoring for Agricultural Application using IoT and Predicting Crop Yield', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, 2021, p. 2369-2371. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Environment_Monitoring__for_Agricultural_Application_using_IoT_and_Predicting_Crop_Yield_ijariie14595.pdf (Accessed : ).
Harvard Sardendu Pandey, Shubham Kumbhar, Shrikant Shirsath, Nikhil Mahajan, and Prof. J. V. Shinde5. (2021) 'Environment Monitoring for Agricultural Application using IoT and Predicting Crop Yield', International Journal Of Advance Research And Innovative Ideas In Education, 7(3), pp. 2369-2371IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Environment_Monitoring__for_Agricultural_Application_using_IoT_and_Predicting_Crop_Yield_ijariie14595.pdf (Accessed : )
IEEE Sardendu Pandey, Shubham Kumbhar, Shrikant Shirsath, Nikhil Mahajan, and Prof. J. V. Shinde5, "Environment Monitoring for Agricultural Application using IoT and Predicting Crop Yield," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, pp. 2369-2371, May-Jun 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Environment_Monitoring__for_Agricultural_Application_using_IoT_and_Predicting_Crop_Yield_ijariie14595.pdf [Accessed : ].
Turabian Sardendu Pandey, Shubham Kumbhar, Shrikant Shirsath, Nikhil Mahajan, and Prof. J. V. Shinde5. "Environment Monitoring for Agricultural Application using IoT and Predicting Crop Yield." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 3 ().
Vancouver Sardendu Pandey, Shubham Kumbhar, Shrikant Shirsath, Nikhil Mahajan, and Prof. J. V. Shinde5. Environment Monitoring for Agricultural Application using IoT and Predicting Crop Yield. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(3) : 2369-2371. Available from: https://ijariie.com/AdminUploadPdf/Environment_Monitoring__for_Agricultural_Application_using_IoT_and_Predicting_Crop_Yield_ijariie14595.pdf
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