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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21508
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Total Authors : 22399
Total Reviewer : 805
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| Paper Title: | Application of Intelligent Recommendation for Agricultural Information- E-krishi |
| Authors Name: | Saurav Karande , Sejal Patil , Riddhi Gharat , Ankita Mhatre , Prachi Sorte |
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IJRTI_186060
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| Published Paper Id: | IJRTI2304116 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | Artificial intelligence makes it possible for machine to learn from experience, adjust to new inputs and perform human like task. Agriculture is slowly becoming digital and artificial intelligence in farming provide crop and soil monitoring ,insect and plant detection etc. Several developing concerns exist in the Indian agricultural sector. From 1951 to 2023, agriculture's share of the GDP in India fell steadily as the country's economy diversified and expanded. Although Indian agriculture has attained grain self-sufficiency, the production is resource demanding, cereal-centric, and biased towards certain regions. India's resource-intensive agricultural practices have also sparked severe sustainability concerns. Most of the time, there are lots of resources accessible to help farmers to thrive in their work, but there is a big knowledge gap between the farmers and those offered programs. In this paper we try solve those problems with the help of today’s technology in various aspects. Our paper is solely aimed at the development of farmers and agricultural businesses through smartphones, and it commits to make selling and buying agriculturally based products, simple and appropriate. The goal of this paper is to support farmers. Its goal is to provide farmers with profits. This application's central concept is an online auction. It enables farmers to get the greatest price for their crops. The app's user interface is straightforward, and it offers data on crucial issues including buying and selling crop seeds, weather forecasts, the detection of plant diseases, science and technology news, government initiatives, and AI-based chatbots. |
| Keywords: | Krishi, Agriculture, Android, Marketplace, Chatbot |
| Cite Article: | "Application of Intelligent Recommendation for Agricultural Information- E-krishi", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.693 - 697, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304116.pdf |
| Downloads: | 000205203 |
| 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: IJRTI2304116
Registration ID:186060
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 693 - 697 Country: Thane, Maharashtra, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304116 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304116 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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