Knowledge Center Catalog

RANC-CROP recommendation attributed to soil nutrients and stock analysis using machine learning (Record no. 68811)

MARC details
000 -LEADER
fixed length control field 02535nab|a22003617a|4500
001 - CONTROL NUMBER
control field 68811
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250526100656.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 2505142022|||||-uk||p|op||||00||0|eng|dd
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0377-2063
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0974-780X (Online)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1080/03772063.2022.2060868
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Daniel, J.
9 (RLIN) 38819
245 10 - TITLE STATEMENT
Title RANC-CROP recommendation attributed to soil nutrients and stock analysis using machine learning
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. United Kingdom :
Name of publisher, distributor, etc. Taylor and Francis Ltd.,
Date of publication, distribution, etc. 2023.
500 ## - GENERAL NOTE
General note Peer review
520 ## - SUMMARY, ETC.
Summary, etc. Agriculture is India's greatest wealth, which also contributes to the country's economic development and defines the standard of living for more than 50 percent of the Indian population. In addition to this conventional crop, more are grown and have high dependency, such as wheat and rice. Farmers face many problems where sustainability is of primary importance in agriculture. To solve the issue, we propose to develop a “RANC (Recommendation Analysis by Soil Nutrients of Crops) Crop Recommendation Tool” web application that will help farmers generate their high income with effective crop cultivation along with the suggestion of organic fertilizer by providing up-to - date stock information, Soil Test Report, crop yield time and nutritional value of each crop. The RANC algorithm is used to pick crops and the Deep Neural Network is used for price prediction to improve the farmer’s choice of crops for cultivation with a high benefit. In the case of crop selection, an existing model uses the Soil Test Report to generate the quantity of fertilizers needed to expand. We use SVM for linear data regressions and ANN, RNN, RBM for non-linear data in the case of price estimation in stock analysis. From the experimental results, the prediction accuracy over 90% has been achieved for the proposed approach.
546 ## - LANGUAGE NOTE
Language note Text in English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural Networks
Source of heading or term AGROVOC
9 (RLIN) 9056
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Capital markets
Source of heading or term AGROVOC
9 (RLIN) 38820
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Prices
Source of heading or term AGROVOC
9 (RLIN) 5255
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Crops
Source of heading or term AGROVOC
9 (RLIN) 1069
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Organic fertilizers
Source of heading or term AGROVOc
9 (RLIN) 1740
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Soil fertility
Source of heading or term AGROVOC
9 (RLIN) 1952
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
Source of heading or term AGROVOC
9 (RLIN) 11127
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Shyamala, R.
9 (RLIN) 38821
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pugalenthi, R.
9 (RLIN) 38822
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Mohan Kumar
9 (RLIN) 38823
773 0# - HOST ITEM ENTRY
Title IETE Journal of Research
Related parts v. 69, no. 11, p. 8077-8089
Place, publisher, and date of publication United Kingdom : Taylor and Francis Ltd., 2023.
International Standard Serial Number 0377-2063
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Article
Suppress in OPAC No
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Date last seen Total Checkouts Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Withdrawn status Home library Current library Date acquired
05/14/2025   05/14/2025 Article Not Lost Dewey Decimal Classification     Reprints Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 05/14/2025

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