Yield prediction system – a systematic approach for predicting agricultural commodity (Record no. 22715)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | a |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250425092508.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250425b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 25987 |
| Author | Vikranth, K. |
| 245 ## - TITLE STATEMENT | |
| Title | Yield prediction system – a systematic approach for predicting agricultural commodity |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.14(4), |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Chennai |
| Name of publisher, distributor, etc. | ICT Academy |
| Year | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 3368-3372p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | In India, the agriculture is main profession for more than sixty percent<br/>of the population. The stakeholders of agriculture in India, facing<br/>plenty of problems that leads the people of the country to shift their<br/>profession and lets them migrate towards urban area. So, need of<br/>implementing technology in agriculture is must in future days because<br/>as population is increasing in exponential form as the result huge<br/>requirement of food and agricultural product. The data analytics will<br/>play a significant role in agricultural dataset for implementing<br/>prediction and recommendation system in the sector. Yield is one of the<br/>factors to be considered in the agriculture that determines the wellness<br/>and prosperity of the farmer. In this paper deals with prediction system<br/>to predict yield of areca nut product in Puttur taluk, Dakshin Kannda<br/>District, Karnataka state in India. The time series data analytics model<br/>known as Auto Regressive Integrated Moving Average (ARIMA) model<br/>is used for yield prediction system. The research is mainly focused on<br/>forecasting of areca nut production for next four or five years in Puttur<br/>taluk. It compares various ARIMA models with performance criteria<br/>and selects best model for prediction purpose. The diagnostic check is<br/>carried out to test the system performance After the prediction, then the<br/>actual values and predicted values are compared and presented in the<br/>form graphical representation. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 17072 |
| Co-Author | Prasad, K. Krishna |
| 773 0# - HOST ITEM ENTRY | |
| Title | ICTACT Journal on Soft Computing (IJSC) |
| Place, publisher, and date of publication | Chennai ICT Academy |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://ictactjournals.in/paper/IJSC_Vol_14_Iss_4_Paper_10_3368_3372.pdf |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 25/04/2025 | 2025-0664 | 25/04/2025 | 25/04/2025 | Articles Abstract Database |