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http://hdl.handle.net/123456789/2692| Title: | A DATA MINING APPROACH FOR CROP YIELD PREDICTION IN AGRICULTURE SECTOR |
| Authors: | Puninder Kaur Jasmeen Kaur Chahal Taruna Sharma |
| Keywords: | Data mining Crop Yield Predictions Prediction Models Classification Clustering |
| Issue Date: | 2021 |
| Publisher: | Research Publication |
| Abstract: | The economy of a country depends on the agriculture. The GDP growth of country is also depends on agriculture sector. It provides the employment of the nation�s workforce. The development of crop depends on various factors such as climate condition, fertilization, water supply, land management. These factors are not easy to identify so the data mining technique are applied for yield prediction. |
| URI: | https://doi.org/10.37418/amsj.10.3.32 http://hdl.handle.net/123456789/2692 |
| Appears in Collections: | Conferences |
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