Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-10,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

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

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

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
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review on Ad Makers- Creation & Design Advertising CampaignsComputer EngineeringSwapnil Ohol1 Download
DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORKComputer ScienceChikati Madhava Rao Download
Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning ModelsComputer ScienceMohmad Ahmed Ali Download
Enhance Accuracy of Medical Disease Prediction Using Machine Learning TechniquesMachine LearningSandeep Singh Sikarwar Download
Transformer-based Generative Adversarial Network (GAN) hybrid model for sentiment analysisInformation Technologyhridesh kumar Download
A Step Ahead in Operational Resilience - Integrating Observability with DevOpsComputer EngineeringAmit Sengupta Download
The Influence of Artificial Intelligence and Human-Computer Interaction on Enhancing Children's Learning ExperiencesComputer Engineering,Supriya S Kendhuli Download
Medicinal Plants Identification Using Deep LearningComputer Engineering Rohan Kumar Verma Download
“How to balance automation and ethics when rolling out AI automation in an Educational Framework”Computer SciecneSudhakar mishra Download
Microservices Fault Tolerance PatternsComputer EngineeringAmit Sengupta Download
Forecasting and Categorization of Cardiac Arrhythmia using Soft Computational ApproachesComputer Science and EngineeringDr. Sivaprakash. C Download
Enhancing CybersecurityComputer EngineeringG Tarun Download
Microservices Design PatternsComputer EngineeringAmit Sengupta Download
The Novel Approach to Detect Kidney Stones Using Deep Learning and Convolutional Neural NetworksCSEN Manjunatha Download
An investigation into the use of deep learning and image processing in the domain of diabetic medical careCSEHR Ravikumar Download
12