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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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| Paper Title: | Research and Design of Agricultural Monitoring Platform Based on Cloud Computing |
| Authors Name: | Parthiv Aditya Tikkala , Bhargav Kanakam , Jayanthi Yellapu , Gopi chand Konakanchi , Rajabhushanam.C |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_186330
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| Published Paper Id: | IJRTI2305015 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Agriculture is the field that assumes a significant part in improving our nation’s economy. Farming is the one that brought forth human advancement. India is an agrarian country and its economy generally dependent on crop productivity. Agriculture is the spine of all business in our country. Choosing a crop is vital in Agriculture arranging. The determination of crops will rely on the various boundaries, for example, market value, production rate and distinctive government policies. Numerous progressions are needed in the agriculture field to improve changes in our Indian economy. Improvements in agriculture can be done utilizing machine learning techniques which are applied effectively on cultivating area. Alongside all advances in the machines and innovations utilized in cultivating, valuable and exact data about various matters likewise assumes a huge part in it. The aim of the proposed system is to carry out the yield determination technique with the goal that this strategy helps in taking care of numerous agriculture and farmers issues. This improves our Indian economy by expanding the yield rate of crop production. Crop yield production value updation has a positive practical significance for guiding agricultural production and for notifying the change in market rate of crop to the farmer. The concept of this paper is to implement the crop selection method so that this method helps in solving many agriculture and farmers problems. This improves our Indian economy by maximizing the yield rate of crop production. Different types of land condition. So the quality of the crops are identified using ranking process. By this process the rate of the low quality and high quality crop is also notified. The usage of ensemble of classifiers paves a path way to make a better decision on predictions due to the usage of multiple classifiers. Further, a ranking process is applied for decision making in order to select the classifiers results. This system is used to predict the cost of crop which is yielded for further. |
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| Cite Article: | "Research and Design of Agricultural Monitoring Platform Based on Cloud Computing", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.114 - 117, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305015.pdf |
| Downloads: | 000205063 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2305015
Registration ID:186330
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 114 - 117 Country: Chennai, Tamilnadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2305015 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2305015 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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