篇名 |
Improved Algorithm of Intelligent Decision Making for Precise Application of Nitrogen Fertilizer to Melon Based on Artificial Intelligence
|
---|---|
並列篇名 | Improved Algorithm of Intelligent Decision Making for Precise Application of Nitrogen Fertilizer to Melon Based on Artificial Intelligence |
作者 | Ying-Ming Shi |
英文摘要 | As agriculture enters the 4.0 era, the demand for intelligent and precise agricultural production is gradually increasing. However, the high cost of agricultural data collection, insufficient decision-making models and low level of intelligence are still the main obstacles to the improvement of land output rate and labor productivity in the process of agricultural production. In this paper, to address the long-standing problems of high cost of soil nitrogen content sampling, difficulty in acquiring soil nitrogen content and reduced accuracy of model long-term prediction during melon growth, a soil nitrogen content prediction model based on improved BP neural network combining a small amount of sampling and a comprehensive model is constructed to realize intelligent decision making of melon nitrogen fertilizer application.
|
起訖頁 | 185-195 |
關鍵詞 | neural network algorithm、nitrogen content、intelligent decision |
刊名 | 電腦學刊 |
期數 | 202210 (33:5期) |
DOI |
|
QR Code | |
該期刊 上一篇
| A Method for Measuring the Angular Velocity of a Target by Laser Information Field and the Engineering Design |
該期刊 下一篇
| Research on Improved Algorithm of Mobile Robot Vision SLAM Based on Depth Camera |