Please use this identifier to cite or link to this item: 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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