| 作成者 |
|
|
|
|
|
|
|
| 本文言語 |
|
| 出版者 |
|
|
|
| 発行日 |
|
| 収録物名 |
|
| 巻 |
|
| 号 |
|
| 開始ページ |
|
| 終了ページ |
|
| 出版タイプ |
|
| アクセス権 |
|
| Crossref DOI |
|
| 権利関係 |
|
| 概要 |
Agriculture shows its considerable contribution to the GDP of India. The common citizens of India turn on directly or indirectly on farming for their living. Prediction of crop in agricultural field i...s based on different input variables. Here we proposed a model in which different input parameters are analyzed using different machine learning algorithms. Automation based crop production system in agriculture field help the farmers to enhance the yield of crop by introducing a best crop for the agriculture field. This model helps in analyzing the best suitable machine learning algorithm by monitoring the accuracy with different training and testing ratios.続きを見る
|
Mendeley出力
p1299-1304