UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2305A71


Registration ID:
515770

Page Number

k498-k500

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Title

Survey On Smart Crop and Fertilizer Prediction System

Abstract

The agriculture industry plays a major role in the process of economic development as well as the gross domestic product of India. The informatization of agriculture is an important driving force in the development of agricultural modernization. With the further improvement of the construction of agricultural information infrastructure, the use of modern information technologies has become an effective solution to achieve personalized services of recommending agricultural information resources and providing timely and effective information to users. This paper aims to provide a comprehensive overview of recent research efforts on the application of agricultural information based on intelligent recommender systems. First, the content analysis method used in this paper to sort the contributions is presented. Second, the basic concepts of recommender systems and key technologies are introduced. Third, applications of recommender systems/technologies for agricultural information are detailed. applications of recommender systems/technologies for agricultural information are described in detail. Finally, a summary and outlook for the application of agricultural information recommendation systems are presented. The project aims to design the best crop based on soil fertility and recommends a fertilizer schedule to minimize the amount of fertilizer needed. The project developed a multi-platform web application that suggests the best crops based on available soil fertility. Furthermore, a fertilization plan will be proposed based on the NPK values of nitrogen (N), phosphorus (P), and potassium (K) to optimize the use of fertilizers in order to increase profitability and prevent soil degradation.

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"Survey On Smart Crop and Fertilizer Prediction System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.k498-k500, May-2023, Available :http://www.jetir.org/papers/JETIR2305A71.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Survey On Smart Crop and Fertilizer Prediction System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppk498-k500, May-2023, Available at : http://www.jetir.org/papers/JETIR2305A71.pdf

Publication Details

Published Paper ID: JETIR2305A71
Registration ID: 515770
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: k498-k500
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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